So what\u2019s holding the lakehouse back?<\/p>\n\n\n\n
ROI gap: lakehouse challenges<\/strong><\/h2>\n\n\n\nGartner recently outlined<\/a> the biggest challenges data leaders face when adopting a lakehouse\u2014and these mirror what we hear from enterprise and public sector customers:\u00a0<\/p>\n\n\n\n![\"Gartner](\"https:\/\/www.stratio.com\/blog\/wp-content\/uploads\/2025\/04\/Figure_1_Moving_to_the_Lakehouse_Platform-1.png\")
Source: Gartner, Follow These Best Practices to Migrate to the Lakehouse, 6 January 2025- ID G00820151 by Henry Cook, Thornton Craig, Prasad Pore, Ehtisham Zaidi.<\/figcaption><\/figure>\n\n\n\n1. Metadata is scattered or missing<\/strong><\/h2>\n\n\n\nA lakehouse is only as good as your ability to find, understand, and trust the data inside it. But many lakehouse implementations lack metadata management. Data remains technical, undocumented, and hard to access, especially for business users.<\/p>\n\n\n\nExample from manufacturing client that spend 60% of IT budget on a lakehouse and… <\/em><\/summary>\nA manufacturing client had 100+ data sources in their lakehouse, but no searchable catalog or lineage view. Analysts were spending hours just trying to figure out what data existed\u2014let alone how to use it.<\/em><\/p>\n<\/details>\n\n\n\n2. Data quality is inconsistent or unknown<\/strong><\/h2>\n\n\n\nLakehouses often inherit raw, unvalidated data from upstream systems. Without built-in data quality checks, errors have no choice but to flow downstream, hurting analytics and AI performance.<\/p>\n\n\n\nExample of a CDO who believed she could run GenAI on top of a lakehouse and <\/em>…<\/summary>\nA retail customer ran a GenAI pilot on their lakehouse, only to find that poor data formatting and duplicates rendered the model outputs unusable. Confidence in the AI initiative led to CDO resigning and not being replaced.<\/em><\/p>\n\n\n\n3. No business-facing access layer<\/strong><\/h2>\n\n\n\nLakehouse adoption often stalls at the technical level. Business users can’t self-serve, and data teams become bottlenecks. Without a semantic layer or natural language access, the lakehouse fails to deliver insights quickly.<\/p>\n\n\n\nA CDO who invested heavily in Snowflake and S3 and … <\/em><\/summary>\nThe only way to access data was through SQL queries. Business teams kept requesting dashboards and real-time analytics that the data team couldn\u2019t deliver although promised at the point of requesting the budget for a datalake, eventually arriving where they started from but had also spent the entire annual budget.<\/em><\/p>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n<\/details>\n<\/details>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n\n\n\nLakehouses are complex and still evolving. Many implementations struggle to meet expectations around latency, availability, or fine-grained access control. This creates friction with security and compliance teams and slows deployment.<\/p>\n\n\n\nCDO overpromises and underdelivers…. <\/em><\/summary>\nThe same manufacturing client as in example above, had to delay their analytics rollout by 18 months because their lakehouse couldn\u2019t meet internal audit requirements without layering in external governance tools.<\/em><\/p>\n<\/details>\n\n\n\nQuestion<\/strong>: can a datalake help answer “Who were my most profitable clients last month and how has this changed compared to 2 months ago?”
Answer<\/strong>:
\u274c A data lake alone? No, not effectively.<\/strong>
\u2705 A data lake with proper data management, governance, and analytics layers? Yes.<\/strong><\/p>Data management practitioners<\/cite><\/blockquote><\/figure>\n\n\n\nStratio: activating value from lakehouse on day one<\/strong><\/h2>\n\n\n\nStratio helps organizations overcome these blockers by acting as a modular activation layer<\/strong> on top of the lakehouse. Our platform delivers the data management, data governance, and AI-ready capabilities needed to unlock value fast<\/strong>\u2014without disrupting what you\u2019ve already built. <\/p>\n\n\n\nStart with what you need the most right now: <\/p>\n\n\n\n
\n- Need to discover and organize your data, understand what you have and access it in real time?<\/strong>
-> Great, let\u2019s go for giving you tools to collect and manage the metadata and see data clearly in a catalog.\u00a0<\/li>\n\n\n\n- Data quality and lineage missing?<\/strong>\u00a0
-> No problem, with Stratio data governance<\/a> module you can\u00a0 monitor, validate, and trust every source.<\/li>\n\n\n\n- Business wants to have generative AI capabilities and talk-to-data <\/a>through questions and answers interface?<\/strong>
-> Excellent, Stratio enables secure natural language querying grounded in all enterprise data with quality, security, and business meaning.\u00a0<\/li>\n\n\n\n- Need to give technical data business meaning to run AI models?<\/strong>
-> Stratio creates a Unified semantic layer<\/a> for all your data connecting business users to business data.<\/li>\n<\/ul>\n\n\n\nYou don\u2019t need to \u201cgo all in.\u201d Stratio is modular by design, meaning you can solve one problem today, then scale into a full platform over time.<\/p>\n\n\n\n
From infrastructure to insight and then beyond<\/strong>. <\/h2>\n\n\n\nGartner notes that the \u201clakehouse is not an endpoint\u201d<\/strong>, but a stepping stone toward the next generation of data architecture: the data fabric<\/strong><\/a>.<\/p>\n\n\n\nThat\u2019s where Stratio comes in again and proves it delivers the long-term business value too. We don’t just help you activate value from your current architecture\u2014we help lay the foundation for long-term agility, AI-readiness, and innovation across your data ecosystem.<\/p>\n\n\n\n
Let\u2019s activate your lakehouse<\/strong><\/h2>\n\n\n\nIf you\u2019re sitting on a powerful lakehouse investment but struggling to turn it into business results, you’re not alone.<\/p>\n\n\n\n
Stratio can help you:<\/p>\n\n\n\n
1. Metadata is scattered or missing<\/strong><\/h2>\n\n\n\nA lakehouse is only as good as your ability to find, understand, and trust the data inside it. But many lakehouse implementations lack metadata management. Data remains technical, undocumented, and hard to access, especially for business users.<\/p>\n\n\n\nExample from manufacturing client that spend 60% of IT budget on a lakehouse and… <\/em><\/summary>\nA manufacturing client had 100+ data sources in their lakehouse, but no searchable catalog or lineage view. Analysts were spending hours just trying to figure out what data existed\u2014let alone how to use it.<\/em><\/p>\n<\/details>\n\n\n\n2. Data quality is inconsistent or unknown<\/strong><\/h2>\n\n\n\nLakehouses often inherit raw, unvalidated data from upstream systems. Without built-in data quality checks, errors have no choice but to flow downstream, hurting analytics and AI performance.<\/p>\n\n\n\nExample of a CDO who believed she could run GenAI on top of a lakehouse and <\/em>…<\/summary>\nA retail customer ran a GenAI pilot on their lakehouse, only to find that poor data formatting and duplicates rendered the model outputs unusable. Confidence in the AI initiative led to CDO resigning and not being replaced.<\/em><\/p>\n\n\n\n3. No business-facing access layer<\/strong><\/h2>\n\n\n\nLakehouse adoption often stalls at the technical level. Business users can’t self-serve, and data teams become bottlenecks. Without a semantic layer or natural language access, the lakehouse fails to deliver insights quickly.<\/p>\n\n\n\nA CDO who invested heavily in Snowflake and S3 and … <\/em><\/summary>\nThe only way to access data was through SQL queries. Business teams kept requesting dashboards and real-time analytics that the data team couldn\u2019t deliver although promised at the point of requesting the budget for a datalake, eventually arriving where they started from but had also spent the entire annual budget.<\/em><\/p>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n<\/details>\n<\/details>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n\n\n\nLakehouses are complex and still evolving. Many implementations struggle to meet expectations around latency, availability, or fine-grained access control. This creates friction with security and compliance teams and slows deployment.<\/p>\n\n\n\nCDO overpromises and underdelivers…. <\/em><\/summary>\nThe same manufacturing client as in example above, had to delay their analytics rollout by 18 months because their lakehouse couldn\u2019t meet internal audit requirements without layering in external governance tools.<\/em><\/p>\n<\/details>\n\n\n\nQuestion<\/strong>: can a datalake help answer “Who were my most profitable clients last month and how has this changed compared to 2 months ago?”
Answer<\/strong>:
\u274c A data lake alone? No, not effectively.<\/strong>
\u2705 A data lake with proper data management, governance, and analytics layers? Yes.<\/strong><\/p>Data management practitioners<\/cite><\/blockquote><\/figure>\n\n\n\nStratio: activating value from lakehouse on day one<\/strong><\/h2>\n\n\n\nStratio helps organizations overcome these blockers by acting as a modular activation layer<\/strong> on top of the lakehouse. Our platform delivers the data management, data governance, and AI-ready capabilities needed to unlock value fast<\/strong>\u2014without disrupting what you\u2019ve already built. <\/p>\n\n\n\nStart with what you need the most right now: <\/p>\n\n\n\n
\n- Need to discover and organize your data, understand what you have and access it in real time?<\/strong>
-> Great, let\u2019s go for giving you tools to collect and manage the metadata and see data clearly in a catalog.\u00a0<\/li>\n\n\n\n- Data quality and lineage missing?<\/strong>\u00a0
-> No problem, with Stratio data governance<\/a> module you can\u00a0 monitor, validate, and trust every source.<\/li>\n\n\n\n- Business wants to have generative AI capabilities and talk-to-data <\/a>through questions and answers interface?<\/strong>
-> Excellent, Stratio enables secure natural language querying grounded in all enterprise data with quality, security, and business meaning.\u00a0<\/li>\n\n\n\n- Need to give technical data business meaning to run AI models?<\/strong>
-> Stratio creates a Unified semantic layer<\/a> for all your data connecting business users to business data.<\/li>\n<\/ul>\n\n\n\nYou don\u2019t need to \u201cgo all in.\u201d Stratio is modular by design, meaning you can solve one problem today, then scale into a full platform over time.<\/p>\n\n\n\n
From infrastructure to insight and then beyond<\/strong>. <\/h2>\n\n\n\nGartner notes that the \u201clakehouse is not an endpoint\u201d<\/strong>, but a stepping stone toward the next generation of data architecture: the data fabric<\/strong><\/a>.<\/p>\n\n\n\nThat\u2019s where Stratio comes in again and proves it delivers the long-term business value too. We don’t just help you activate value from your current architecture\u2014we help lay the foundation for long-term agility, AI-readiness, and innovation across your data ecosystem.<\/p>\n\n\n\n
Let\u2019s activate your lakehouse<\/strong><\/h2>\n\n\n\nIf you\u2019re sitting on a powerful lakehouse investment but struggling to turn it into business results, you’re not alone.<\/p>\n\n\n\n
Stratio can help you:<\/p>\n\n\n\n
Example from manufacturing client that spend 60% of IT budget on a lakehouse and… <\/em><\/summary>\nA manufacturing client had 100+ data sources in their lakehouse, but no searchable catalog or lineage view. Analysts were spending hours just trying to figure out what data existed\u2014let alone how to use it.<\/em><\/p>\n<\/details>\n\n\n\n2. Data quality is inconsistent or unknown<\/strong><\/h2>\n\n\n\nLakehouses often inherit raw, unvalidated data from upstream systems. Without built-in data quality checks, errors have no choice but to flow downstream, hurting analytics and AI performance.<\/p>\n\n\n\nExample of a CDO who believed she could run GenAI on top of a lakehouse and <\/em>…<\/summary>\nA retail customer ran a GenAI pilot on their lakehouse, only to find that poor data formatting and duplicates rendered the model outputs unusable. Confidence in the AI initiative led to CDO resigning and not being replaced.<\/em><\/p>\n\n\n\n3. No business-facing access layer<\/strong><\/h2>\n\n\n\nLakehouse adoption often stalls at the technical level. Business users can’t self-serve, and data teams become bottlenecks. Without a semantic layer or natural language access, the lakehouse fails to deliver insights quickly.<\/p>\n\n\n\nA CDO who invested heavily in Snowflake and S3 and … <\/em><\/summary>\nThe only way to access data was through SQL queries. Business teams kept requesting dashboards and real-time analytics that the data team couldn\u2019t deliver although promised at the point of requesting the budget for a datalake, eventually arriving where they started from but had also spent the entire annual budget.<\/em><\/p>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n<\/details>\n<\/details>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n\n\n\nLakehouses are complex and still evolving. Many implementations struggle to meet expectations around latency, availability, or fine-grained access control. This creates friction with security and compliance teams and slows deployment.<\/p>\n\n\n\nCDO overpromises and underdelivers…. <\/em><\/summary>\nThe same manufacturing client as in example above, had to delay their analytics rollout by 18 months because their lakehouse couldn\u2019t meet internal audit requirements without layering in external governance tools.<\/em><\/p>\n<\/details>\n\n\n\nQuestion<\/strong>: can a datalake help answer “Who were my most profitable clients last month and how has this changed compared to 2 months ago?”
Answer<\/strong>:
\u274c A data lake alone? No, not effectively.<\/strong>
\u2705 A data lake with proper data management, governance, and analytics layers? Yes.<\/strong><\/p>Data management practitioners<\/cite><\/blockquote><\/figure>\n\n\n\nStratio: activating value from lakehouse on day one<\/strong><\/h2>\n\n\n\nStratio helps organizations overcome these blockers by acting as a modular activation layer<\/strong> on top of the lakehouse. Our platform delivers the data management, data governance, and AI-ready capabilities needed to unlock value fast<\/strong>\u2014without disrupting what you\u2019ve already built. <\/p>\n\n\n\nStart with what you need the most right now: <\/p>\n\n\n\n
\n- Need to discover and organize your data, understand what you have and access it in real time?<\/strong>
-> Great, let\u2019s go for giving you tools to collect and manage the metadata and see data clearly in a catalog.\u00a0<\/li>\n\n\n\n- Data quality and lineage missing?<\/strong>\u00a0
-> No problem, with Stratio data governance<\/a> module you can\u00a0 monitor, validate, and trust every source.<\/li>\n\n\n\n- Business wants to have generative AI capabilities and talk-to-data <\/a>through questions and answers interface?<\/strong>
-> Excellent, Stratio enables secure natural language querying grounded in all enterprise data with quality, security, and business meaning.\u00a0<\/li>\n\n\n\n- Need to give technical data business meaning to run AI models?<\/strong>
-> Stratio creates a Unified semantic layer<\/a> for all your data connecting business users to business data.<\/li>\n<\/ul>\n\n\n\nYou don\u2019t need to \u201cgo all in.\u201d Stratio is modular by design, meaning you can solve one problem today, then scale into a full platform over time.<\/p>\n\n\n\n
From infrastructure to insight and then beyond<\/strong>. <\/h2>\n\n\n\nGartner notes that the \u201clakehouse is not an endpoint\u201d<\/strong>, but a stepping stone toward the next generation of data architecture: the data fabric<\/strong><\/a>.<\/p>\n\n\n\nThat\u2019s where Stratio comes in again and proves it delivers the long-term business value too. We don’t just help you activate value from your current architecture\u2014we help lay the foundation for long-term agility, AI-readiness, and innovation across your data ecosystem.<\/p>\n\n\n\n
Let\u2019s activate your lakehouse<\/strong><\/h2>\n\n\n\nIf you\u2019re sitting on a powerful lakehouse investment but struggling to turn it into business results, you’re not alone.<\/p>\n\n\n\n
Stratio can help you:<\/p>\n\n\n\n
2. Data quality is inconsistent or unknown<\/strong><\/h2>\n\n\n\nLakehouses often inherit raw, unvalidated data from upstream systems. Without built-in data quality checks, errors have no choice but to flow downstream, hurting analytics and AI performance.<\/p>\n\n\n\nExample of a CDO who believed she could run GenAI on top of a lakehouse and <\/em>…<\/summary>\nA retail customer ran a GenAI pilot on their lakehouse, only to find that poor data formatting and duplicates rendered the model outputs unusable. Confidence in the AI initiative led to CDO resigning and not being replaced.<\/em><\/p>\n\n\n\n3. No business-facing access layer<\/strong><\/h2>\n\n\n\nLakehouse adoption often stalls at the technical level. Business users can’t self-serve, and data teams become bottlenecks. Without a semantic layer or natural language access, the lakehouse fails to deliver insights quickly.<\/p>\n\n\n\nA CDO who invested heavily in Snowflake and S3 and … <\/em><\/summary>\nThe only way to access data was through SQL queries. Business teams kept requesting dashboards and real-time analytics that the data team couldn\u2019t deliver although promised at the point of requesting the budget for a datalake, eventually arriving where they started from but had also spent the entire annual budget.<\/em><\/p>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n<\/details>\n<\/details>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n\n\n\nLakehouses are complex and still evolving. Many implementations struggle to meet expectations around latency, availability, or fine-grained access control. This creates friction with security and compliance teams and slows deployment.<\/p>\n\n\n\nCDO overpromises and underdelivers…. <\/em><\/summary>\nThe same manufacturing client as in example above, had to delay their analytics rollout by 18 months because their lakehouse couldn\u2019t meet internal audit requirements without layering in external governance tools.<\/em><\/p>\n<\/details>\n\n\n\nQuestion<\/strong>: can a datalake help answer “Who were my most profitable clients last month and how has this changed compared to 2 months ago?”
Answer<\/strong>:
\u274c A data lake alone? No, not effectively.<\/strong>
\u2705 A data lake with proper data management, governance, and analytics layers? Yes.<\/strong><\/p>Data management practitioners<\/cite><\/blockquote><\/figure>\n\n\n\nStratio: activating value from lakehouse on day one<\/strong><\/h2>\n\n\n\nStratio helps organizations overcome these blockers by acting as a modular activation layer<\/strong> on top of the lakehouse. Our platform delivers the data management, data governance, and AI-ready capabilities needed to unlock value fast<\/strong>\u2014without disrupting what you\u2019ve already built. <\/p>\n\n\n\nStart with what you need the most right now: <\/p>\n\n\n\n
\n- Need to discover and organize your data, understand what you have and access it in real time?<\/strong>
-> Great, let\u2019s go for giving you tools to collect and manage the metadata and see data clearly in a catalog.\u00a0<\/li>\n\n\n\n- Data quality and lineage missing?<\/strong>\u00a0
-> No problem, with Stratio data governance<\/a> module you can\u00a0 monitor, validate, and trust every source.<\/li>\n\n\n\n- Business wants to have generative AI capabilities and talk-to-data <\/a>through questions and answers interface?<\/strong>
-> Excellent, Stratio enables secure natural language querying grounded in all enterprise data with quality, security, and business meaning.\u00a0<\/li>\n\n\n\n- Need to give technical data business meaning to run AI models?<\/strong>
-> Stratio creates a Unified semantic layer<\/a> for all your data connecting business users to business data.<\/li>\n<\/ul>\n\n\n\nYou don\u2019t need to \u201cgo all in.\u201d Stratio is modular by design, meaning you can solve one problem today, then scale into a full platform over time.<\/p>\n\n\n\n
From infrastructure to insight and then beyond<\/strong>. <\/h2>\n\n\n\nGartner notes that the \u201clakehouse is not an endpoint\u201d<\/strong>, but a stepping stone toward the next generation of data architecture: the data fabric<\/strong><\/a>.<\/p>\n\n\n\nThat\u2019s where Stratio comes in again and proves it delivers the long-term business value too. We don’t just help you activate value from your current architecture\u2014we help lay the foundation for long-term agility, AI-readiness, and innovation across your data ecosystem.<\/p>\n\n\n\n
Let\u2019s activate your lakehouse<\/strong><\/h2>\n\n\n\nIf you\u2019re sitting on a powerful lakehouse investment but struggling to turn it into business results, you’re not alone.<\/p>\n\n\n\n
Stratio can help you:<\/p>\n\n\n\n
Example of a CDO who believed she could run GenAI on top of a lakehouse and <\/em>…<\/summary>\nA retail customer ran a GenAI pilot on their lakehouse, only to find that poor data formatting and duplicates rendered the model outputs unusable. Confidence in the AI initiative led to CDO resigning and not being replaced.<\/em><\/p>\n\n\n\n3. No business-facing access layer<\/strong><\/h2>\n\n\n\nLakehouse adoption often stalls at the technical level. Business users can’t self-serve, and data teams become bottlenecks. Without a semantic layer or natural language access, the lakehouse fails to deliver insights quickly.<\/p>\n\n\n\nA CDO who invested heavily in Snowflake and S3 and … <\/em><\/summary>\nThe only way to access data was through SQL queries. Business teams kept requesting dashboards and real-time analytics that the data team couldn\u2019t deliver although promised at the point of requesting the budget for a datalake, eventually arriving where they started from but had also spent the entire annual budget.<\/em><\/p>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n<\/details>\n<\/details>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n\n\n\nLakehouses are complex and still evolving. Many implementations struggle to meet expectations around latency, availability, or fine-grained access control. This creates friction with security and compliance teams and slows deployment.<\/p>\n\n\n\nCDO overpromises and underdelivers…. <\/em><\/summary>\nThe same manufacturing client as in example above, had to delay their analytics rollout by 18 months because their lakehouse couldn\u2019t meet internal audit requirements without layering in external governance tools.<\/em><\/p>\n<\/details>\n\n\n\nQuestion<\/strong>: can a datalake help answer “Who were my most profitable clients last month and how has this changed compared to 2 months ago?”
Answer<\/strong>:
\u274c A data lake alone? No, not effectively.<\/strong>
\u2705 A data lake with proper data management, governance, and analytics layers? Yes.<\/strong><\/p>Data management practitioners<\/cite><\/blockquote><\/figure>\n\n\n\nStratio: activating value from lakehouse on day one<\/strong><\/h2>\n\n\n\nStratio helps organizations overcome these blockers by acting as a modular activation layer<\/strong> on top of the lakehouse. Our platform delivers the data management, data governance, and AI-ready capabilities needed to unlock value fast<\/strong>\u2014without disrupting what you\u2019ve already built. <\/p>\n\n\n\nStart with what you need the most right now: <\/p>\n\n\n\n
\n- Need to discover and organize your data, understand what you have and access it in real time?<\/strong>
-> Great, let\u2019s go for giving you tools to collect and manage the metadata and see data clearly in a catalog.\u00a0<\/li>\n\n\n\n- Data quality and lineage missing?<\/strong>\u00a0
-> No problem, with Stratio data governance<\/a> module you can\u00a0 monitor, validate, and trust every source.<\/li>\n\n\n\n- Business wants to have generative AI capabilities and talk-to-data <\/a>through questions and answers interface?<\/strong>
-> Excellent, Stratio enables secure natural language querying grounded in all enterprise data with quality, security, and business meaning.\u00a0<\/li>\n\n\n\n- Need to give technical data business meaning to run AI models?<\/strong>
-> Stratio creates a Unified semantic layer<\/a> for all your data connecting business users to business data.<\/li>\n<\/ul>\n\n\n\nYou don\u2019t need to \u201cgo all in.\u201d Stratio is modular by design, meaning you can solve one problem today, then scale into a full platform over time.<\/p>\n\n\n\n
From infrastructure to insight and then beyond<\/strong>. <\/h2>\n\n\n\nGartner notes that the \u201clakehouse is not an endpoint\u201d<\/strong>, but a stepping stone toward the next generation of data architecture: the data fabric<\/strong><\/a>.<\/p>\n\n\n\nThat\u2019s where Stratio comes in again and proves it delivers the long-term business value too. We don’t just help you activate value from your current architecture\u2014we help lay the foundation for long-term agility, AI-readiness, and innovation across your data ecosystem.<\/p>\n\n\n\n
Let\u2019s activate your lakehouse<\/strong><\/h2>\n\n\n\nIf you\u2019re sitting on a powerful lakehouse investment but struggling to turn it into business results, you’re not alone.<\/p>\n\n\n\n
Stratio can help you:<\/p>\n\n\n\n
3. No business-facing access layer<\/strong><\/h2>\n\n\n\nLakehouse adoption often stalls at the technical level. Business users can’t self-serve, and data teams become bottlenecks. Without a semantic layer or natural language access, the lakehouse fails to deliver insights quickly.<\/p>\n\n\n\nA CDO who invested heavily in Snowflake and S3 and … <\/em><\/summary>\nThe only way to access data was through SQL queries. Business teams kept requesting dashboards and real-time analytics that the data team couldn\u2019t deliver although promised at the point of requesting the budget for a datalake, eventually arriving where they started from but had also spent the entire annual budget.<\/em><\/p>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n<\/details>\n<\/details>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n\n\n\nLakehouses are complex and still evolving. Many implementations struggle to meet expectations around latency, availability, or fine-grained access control. This creates friction with security and compliance teams and slows deployment.<\/p>\n\n\n\nCDO overpromises and underdelivers…. <\/em><\/summary>\nThe same manufacturing client as in example above, had to delay their analytics rollout by 18 months because their lakehouse couldn\u2019t meet internal audit requirements without layering in external governance tools.<\/em><\/p>\n<\/details>\n\n\n\nQuestion<\/strong>: can a datalake help answer “Who were my most profitable clients last month and how has this changed compared to 2 months ago?”
Answer<\/strong>:
\u274c A data lake alone? No, not effectively.<\/strong>
\u2705 A data lake with proper data management, governance, and analytics layers? Yes.<\/strong><\/p>Data management practitioners<\/cite><\/blockquote><\/figure>\n\n\n\nStratio: activating value from lakehouse on day one<\/strong><\/h2>\n\n\n\nStratio helps organizations overcome these blockers by acting as a modular activation layer<\/strong> on top of the lakehouse. Our platform delivers the data management, data governance, and AI-ready capabilities needed to unlock value fast<\/strong>\u2014without disrupting what you\u2019ve already built. <\/p>\n\n\n\nStart with what you need the most right now: <\/p>\n\n\n\n
\n- Need to discover and organize your data, understand what you have and access it in real time?<\/strong>
-> Great, let\u2019s go for giving you tools to collect and manage the metadata and see data clearly in a catalog.\u00a0<\/li>\n\n\n\n- Data quality and lineage missing?<\/strong>\u00a0
-> No problem, with Stratio data governance<\/a> module you can\u00a0 monitor, validate, and trust every source.<\/li>\n\n\n\n- Business wants to have generative AI capabilities and talk-to-data <\/a>through questions and answers interface?<\/strong>
-> Excellent, Stratio enables secure natural language querying grounded in all enterprise data with quality, security, and business meaning.\u00a0<\/li>\n\n\n\n- Need to give technical data business meaning to run AI models?<\/strong>
-> Stratio creates a Unified semantic layer<\/a> for all your data connecting business users to business data.<\/li>\n<\/ul>\n\n\n\nYou don\u2019t need to \u201cgo all in.\u201d Stratio is modular by design, meaning you can solve one problem today, then scale into a full platform over time.<\/p>\n\n\n\n
From infrastructure to insight and then beyond<\/strong>. <\/h2>\n\n\n\nGartner notes that the \u201clakehouse is not an endpoint\u201d<\/strong>, but a stepping stone toward the next generation of data architecture: the data fabric<\/strong><\/a>.<\/p>\n\n\n\nThat\u2019s where Stratio comes in again and proves it delivers the long-term business value too. We don’t just help you activate value from your current architecture\u2014we help lay the foundation for long-term agility, AI-readiness, and innovation across your data ecosystem.<\/p>\n\n\n\n
Let\u2019s activate your lakehouse<\/strong><\/h2>\n\n\n\nIf you\u2019re sitting on a powerful lakehouse investment but struggling to turn it into business results, you’re not alone.<\/p>\n\n\n\n
Stratio can help you:<\/p>\n\n\n\n
A CDO who invested heavily in Snowflake and S3 and … <\/em><\/summary>\nThe only way to access data was through SQL queries. Business teams kept requesting dashboards and real-time analytics that the data team couldn\u2019t deliver although promised at the point of requesting the budget for a datalake, eventually arriving where they started from but had also spent the entire annual budget.<\/em><\/p>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n<\/details>\n<\/details>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n\n\n\nLakehouses are complex and still evolving. Many implementations struggle to meet expectations around latency, availability, or fine-grained access control. This creates friction with security and compliance teams and slows deployment.<\/p>\n\n\n\nCDO overpromises and underdelivers…. <\/em><\/summary>\nThe same manufacturing client as in example above, had to delay their analytics rollout by 18 months because their lakehouse couldn\u2019t meet internal audit requirements without layering in external governance tools.<\/em><\/p>\n<\/details>\n\n\n\nQuestion<\/strong>: can a datalake help answer “Who were my most profitable clients last month and how has this changed compared to 2 months ago?”
Answer<\/strong>:
\u274c A data lake alone? No, not effectively.<\/strong>
\u2705 A data lake with proper data management, governance, and analytics layers? Yes.<\/strong><\/p>Data management practitioners<\/cite><\/blockquote><\/figure>\n\n\n\nStratio: activating value from lakehouse on day one<\/strong><\/h2>\n\n\n\nStratio helps organizations overcome these blockers by acting as a modular activation layer<\/strong> on top of the lakehouse. Our platform delivers the data management, data governance, and AI-ready capabilities needed to unlock value fast<\/strong>\u2014without disrupting what you\u2019ve already built. <\/p>\n\n\n\nStart with what you need the most right now: <\/p>\n\n\n\n
\n- Need to discover and organize your data, understand what you have and access it in real time?<\/strong>
-> Great, let\u2019s go for giving you tools to collect and manage the metadata and see data clearly in a catalog.\u00a0<\/li>\n\n\n\n- Data quality and lineage missing?<\/strong>\u00a0
-> No problem, with Stratio data governance<\/a> module you can\u00a0 monitor, validate, and trust every source.<\/li>\n\n\n\n- Business wants to have generative AI capabilities and talk-to-data <\/a>through questions and answers interface?<\/strong>
-> Excellent, Stratio enables secure natural language querying grounded in all enterprise data with quality, security, and business meaning.\u00a0<\/li>\n\n\n\n- Need to give technical data business meaning to run AI models?<\/strong>
-> Stratio creates a Unified semantic layer<\/a> for all your data connecting business users to business data.<\/li>\n<\/ul>\n\n\n\nYou don\u2019t need to \u201cgo all in.\u201d Stratio is modular by design, meaning you can solve one problem today, then scale into a full platform over time.<\/p>\n\n\n\n
From infrastructure to insight and then beyond<\/strong>. <\/h2>\n\n\n\nGartner notes that the \u201clakehouse is not an endpoint\u201d<\/strong>, but a stepping stone toward the next generation of data architecture: the data fabric<\/strong><\/a>.<\/p>\n\n\n\nThat\u2019s where Stratio comes in again and proves it delivers the long-term business value too. We don’t just help you activate value from your current architecture\u2014we help lay the foundation for long-term agility, AI-readiness, and innovation across your data ecosystem.<\/p>\n\n\n\n
Let\u2019s activate your lakehouse<\/strong><\/h2>\n\n\n\nIf you\u2019re sitting on a powerful lakehouse investment but struggling to turn it into business results, you’re not alone.<\/p>\n\n\n\n
Stratio can help you:<\/p>\n\n\n\n
4. Missing data governance and security challenges<\/strong><\/h2>\n<\/details>\n<\/details>\n\n\n\n4. Missing data governance and security challenges<\/strong><\/h2>\n\n\n\nLakehouses are complex and still evolving. Many implementations struggle to meet expectations around latency, availability, or fine-grained access control. This creates friction with security and compliance teams and slows deployment.<\/p>\n\n\n\nCDO overpromises and underdelivers…. <\/em><\/summary>\nThe same manufacturing client as in example above, had to delay their analytics rollout by 18 months because their lakehouse couldn\u2019t meet internal audit requirements without layering in external governance tools.<\/em><\/p>\n<\/details>\n\n\n\nQuestion<\/strong>: can a datalake help answer “Who were my most profitable clients last month and how has this changed compared to 2 months ago?”
Answer<\/strong>:
\u274c A data lake alone? No, not effectively.<\/strong>
\u2705 A data lake with proper data management, governance, and analytics layers? Yes.<\/strong><\/p>Data management practitioners<\/cite><\/blockquote><\/figure>\n\n\n\nStratio: activating value from lakehouse on day one<\/strong><\/h2>\n\n\n\nStratio helps organizations overcome these blockers by acting as a modular activation layer<\/strong> on top of the lakehouse. Our platform delivers the data management, data governance, and AI-ready capabilities needed to unlock value fast<\/strong>\u2014without disrupting what you\u2019ve already built. <\/p>\n\n\n\nStart with what you need the most right now: <\/p>\n\n\n\n
\n- Need to discover and organize your data, understand what you have and access it in real time?<\/strong>
-> Great, let\u2019s go for giving you tools to collect and manage the metadata and see data clearly in a catalog.\u00a0<\/li>\n\n\n\n- Data quality and lineage missing?<\/strong>\u00a0
-> No problem, with Stratio data governance<\/a> module you can\u00a0 monitor, validate, and trust every source.<\/li>\n\n\n\n- Business wants to have generative AI capabilities and talk-to-data <\/a>through questions and answers interface?<\/strong>
-> Excellent, Stratio enables secure natural language querying grounded in all enterprise data with quality, security, and business meaning.\u00a0<\/li>\n\n\n\n- Need to give technical data business meaning to run AI models?<\/strong>
-> Stratio creates a Unified semantic layer<\/a> for all your data connecting business users to business data.<\/li>\n<\/ul>\n\n\n\nYou don\u2019t need to \u201cgo all in.\u201d Stratio is modular by design, meaning you can solve one problem today, then scale into a full platform over time.<\/p>\n\n\n\n
From infrastructure to insight and then beyond<\/strong>. <\/h2>\n\n\n\nGartner notes that the \u201clakehouse is not an endpoint\u201d<\/strong>, but a stepping stone toward the next generation of data architecture: the data fabric<\/strong><\/a>.<\/p>\n\n\n\nThat\u2019s where Stratio comes in again and proves it delivers the long-term business value too. We don’t just help you activate value from your current architecture\u2014we help lay the foundation for long-term agility, AI-readiness, and innovation across your data ecosystem.<\/p>\n\n\n\n
Let\u2019s activate your lakehouse<\/strong><\/h2>\n\n\n\nIf you\u2019re sitting on a powerful lakehouse investment but struggling to turn it into business results, you’re not alone.<\/p>\n\n\n\n
Stratio can help you:<\/p>\n\n\n\n
Lakehouses are complex and still evolving. Many implementations struggle to meet expectations around latency, availability, or fine-grained access control. This creates friction with security and compliance teams and slows deployment.<\/p>\n\n\n\n The same manufacturing client as in example above, had to delay their analytics rollout by 18 months because their lakehouse couldn\u2019t meet internal audit requirements without layering in external governance tools.<\/em><\/p>\n<\/details>\n\n\n\n Question<\/strong>: can a datalake help answer “Who were my most profitable clients last month and how has this changed compared to 2 months ago?” Stratio helps organizations overcome these blockers by acting as a modular activation layer<\/strong> on top of the lakehouse. Our platform delivers the data management, data governance, and AI-ready capabilities needed to unlock value fast<\/strong>\u2014without disrupting what you\u2019ve already built. <\/p>\n\n\n\n Start with what you need the most right now: <\/p>\n\n\n\n You don\u2019t need to \u201cgo all in.\u201d Stratio is modular by design, meaning you can solve one problem today, then scale into a full platform over time.<\/p>\n\n\n\n Gartner notes that the \u201clakehouse is not an endpoint\u201d<\/strong>, but a stepping stone toward the next generation of data architecture: the data fabric<\/strong><\/a>.<\/p>\n\n\n\n That\u2019s where Stratio comes in again and proves it delivers the long-term business value too. We don’t just help you activate value from your current architecture\u2014we help lay the foundation for long-term agility, AI-readiness, and innovation across your data ecosystem.<\/p>\n\n\n\n If you\u2019re sitting on a powerful lakehouse investment but struggling to turn it into business results, you’re not alone.<\/p>\n\n\n\n Stratio can help you:<\/p>\n\n\n\nCDO overpromises and underdelivers…. <\/em><\/summary>\n
Answer<\/strong>:
\u274c A data lake alone? No, not effectively.<\/strong>
\u2705 A data lake with proper data management, governance, and analytics layers? Yes.<\/strong><\/p>Data management practitioners<\/cite><\/blockquote><\/figure>\n\n\n\nStratio: activating value from lakehouse on day one<\/strong><\/h2>\n\n\n\n
\n
-> Great, let\u2019s go for giving you tools to collect and manage the metadata and see data clearly in a catalog.\u00a0<\/li>\n\n\n\n
-> No problem, with Stratio data governance<\/a> module you can\u00a0 monitor, validate, and trust every source.<\/li>\n\n\n\n
-> Excellent, Stratio enables secure natural language querying grounded in all enterprise data with quality, security, and business meaning.\u00a0<\/li>\n\n\n\n
-> Stratio creates a Unified semantic layer<\/a> for all your data connecting business users to business data.<\/li>\n<\/ul>\n\n\n\nFrom infrastructure to insight and then beyond<\/strong>. <\/h2>\n\n\n\n
Let\u2019s activate your lakehouse<\/strong><\/h2>\n\n\n\n