{"@attributes":{"version":"2.0"},"channel":{"title":"Dataddo Blog","link":"https:\/\/blog.dataddo.com","description":"Learn about data integration, data management, data infrastructure, and data analysis from the\u00a0Dataddo blog.","language":"en","pubDate":"Fri, 17 Jul 2026 09:35:23 GMT","item":[{"title":"You Built a Data Pipeline. Here's What Comes Next","link":"https:\/\/blog.dataddo.com\/you-built-a-data-pipeline.-heres-what-comes-next","description":"
\n \"You <\/a> \n<\/div> \n

Starting is easy. Maintaining is not.<\/h3>","pubDate":"Fri, 17 Jul 2026 09:35:23 GMT","guid":"https:\/\/blog.dataddo.com\/you-built-a-data-pipeline.-heres-what-comes-next"},{"title":"HTAP in 2026: Why the Hybrid Database Dream Came True as a Pipeline, Not a Product","link":"https:\/\/blog.dataddo.com\/htap-explained-dataddo","description":"
\n \"HTAP <\/a> \n<\/div> \n

In 2014, Gartner coined a term for one of the most seductive ideas in data infrastructure: HTAP, Hybrid Transactional\/Analytical Processing. One database that runs your application and<\/em> your analytics. No nightly ETL jobs, no stale dashboards, no second copy of your data. You would query live transactions directly and make decisions on what is happening right now, not on what happened yesterday.<\/p>","category":"Industry Insights","pubDate":"Wed, 08 Jul 2026 13:52:17 GMT","guid":"https:\/\/blog.dataddo.com\/htap-explained-dataddo"},{"title":"Building Open Data Lakes with Dataddo and Apache Iceberg","link":"https:\/\/blog.dataddo.com\/implementing-high-performance-lakehouse-architectures-apache-iceberg-aws-glue-and-the-dataddo-ingestion-engine","description":"

\n \"Building <\/a> \n<\/div> \n
\n

This is an adaptation from an article published on the AWS Builder blog. You can read the full text here<\/a><\/p> \n<\/blockquote> \n

 <\/p> \n

In today's data ecosystem, agility and reliability are paramount. Integrating Dataddo<\/strong> with technologies like Apache Iceberg<\/strong> within the AWS<\/strong> environment allows organizations to establish a robust foundation for their analytics and AI operations.<\/p>","pubDate":"Wed, 08 Jul 2026 13:37:10 GMT","guid":"https:\/\/blog.dataddo.com\/implementing-high-performance-lakehouse-architectures-apache-iceberg-aws-glue-and-the-dataddo-ingestion-engine"},{"title":"Databox now supported for easy data visualization","link":"https:\/\/blog.dataddo.com\/databox-new-visualization-destination","description":"

\n \"Databox <\/a> \n<\/div> \n

Databox makes visualizing all your data simpler<\/i><\/p> \n

At Dataddo, our mission is to simplify the movement of data\u2014from anywhere, to anywhere<\/strong>. That\u2019s why we\u2019re excited to announce that Databox<\/span><\/strong><\/a> is now available as a destination in all paid Dataddo plans.<\/strong> <\/p> \n

With this new integration, users can now send structured data from over 350 sources, like ERPs, CRMs, ad platforms, databases, and internal tools, directly into Databox to build dashboards, track KPIs, and share insights across their teams.<\/p> \n

\n

If you\u2019ve outgrown a simple Google Sheet pie chart or struggle with PowerBI or Looker Studio complexity, Databox might be the right tool for you. <\/p> \n<\/blockquote> \n

 <\/p>","category":["Product","Data to Dashboards"],"pubDate":"Thu, 30 Oct 2025 11:51:51 GMT","guid":"https:\/\/blog.dataddo.com\/databox-new-visualization-destination"},{"title":"Exposing The Role of Data Pipelines in AI Projects Success","link":"https:\/\/blog.dataddo.com\/data-pipelines-ai-success","description":"

\n \"Exposing <\/a> \n<\/div> \n
\n This post was written for Dataddo by Tereza Fuk\u00e1tkov\u00e1, Head of AI at TV Nova, data scientist, instructor and storyteller. <\/i> \n<\/blockquote> \n

AI initiatives are sprouting like mushrooms after rain. As someone whose passion is AI, I am on cloud 9, the demand is through the roof! Even cautious industries like banks or media (my domain) are taking it seriously. McKinsey's The State of AI<\/a> report shows that in 2024, 78% of the surveyed companies used AI at least in one department, a huge jump from 55% in 2023.<\/p> \n

Mushrooms, right?<\/p>","category":"Industry Insights","pubDate":"Mon, 11 Aug 2025 11:33:04 GMT","guid":"https:\/\/blog.dataddo.com\/data-pipelines-ai-success"},{"title":"Dataddo Now Connects to Microsoft Fabric","link":"https:\/\/blog.dataddo.com\/dataddo-now-connects-to-microsoft-fabric","description":"

\n \"Dataddo <\/a> \n<\/div> \n

Deliver data to the heart of Microsoft\u2019s new analytics platform in minutes<\/i><\/h2> \n

Microsoft Fabric is quickly becoming the centerpiece of the modern Microsoft data stack, combining Power BI, Azure Synapse, Data Factory, and more into a single, unified platform.  Dataddo now supports Microsoft Fabric as a destination.<\/strong><\/span> This makes it easier than ever to sync data from 350+ sources into your Fabric Lakehouse.<\/p>","category":"Product","pubDate":"Fri, 08 Aug 2025 12:24:17 GMT","guid":"https:\/\/blog.dataddo.com\/dataddo-now-connects-to-microsoft-fabric"},{"title":"All-New Experience for Database Connectors","link":"https:\/\/blog.dataddo.com\/all-new-experience-for-database-connectors","description":"

\n \"3 <\/a> \n<\/div> \n

Incremental loads, full resyncs, and AI-assisted SQL \u2014 now standard across all database connectors.<\/span><\/h2> \n

 <\/p>","pubDate":"Mon, 28 Jul 2025 13:31:46 GMT","guid":"https:\/\/blog.dataddo.com\/all-new-experience-for-database-connectors"},{"title":"LLMs Run on Context\u2014Here\u2019s How to Feed It","link":"https:\/\/blog.dataddo.com\/llms-run-on-context-heres-how-to-feed-it","description":"

\n \"LLMs <\/a> \n<\/div> \n

LLMs don\u2019t just need data\u2014they need the right<\/i> data.<\/span> That means governed, fresh, and context-rich information: not just raw facts, but the relationships, metadata, and semantic structure that give those facts meaning. If you\u2019re serious about building AI agents, copilots, or internal assistants that are trustworthy and scalable, the quality and completeness of the data you feed them will make or break the experience.<\/p>","pubDate":"Mon, 21 Jul 2025 12:52:36 GMT","guid":"https:\/\/blog.dataddo.com\/llms-run-on-context-heres-how-to-feed-it"},{"title":"Never Lose a Byte: When and Why to Use Full Data Re-Sync","link":"https:\/\/blog.dataddo.com\/never-lose-a-byte-when-and-why-to-use-full-data-re-sync","description":"

\n \"Never <\/a> \n<\/div> \n

 <\/p>","category":["Product","Tools"],"pubDate":"Tue, 20 May 2025 13:38:23 GMT","guid":"https:\/\/blog.dataddo.com\/never-lose-a-byte-when-and-why-to-use-full-data-re-sync"},{"title":"Accelerating Safely: Connecting Legacy Systems without Migrations","link":"https:\/\/blog.dataddo.com\/accelerating-enterprise-systems-safely","description":"

\n \"Accelerating <\/a> \n<\/div> \n
\n
\n TL;DR: You don't have to re-architect your whole enterprise infrastructure to use data from legacy systems in modern applications. Dataddo works within any tech stack to rapidly extract terabytes of data, without agents or custom tech. \n <\/div> \n<\/blockquote> \n

 <\/p> \n

In enterprise environments, data<\/strong><\/span> are a strategic asset...and a major operational headache. As companies work to modernize their tech stacks, they often encounter the same dilemma: their most valuable data is stuck inside foundational systems<\/strong><\/span>\u2014while modern teams need fast, flexible access.<\/p> \n

At Dataddo, we believe modernization shouldn\u2019t mean disruption. It should mean unlocking the full value of existing systems<\/span>, while opening the door to next-generation analytics, AI, and operations.<\/p> \n

Here\u2019s how we\u2019re helping enterprises do exactly that.<\/p> \n

 <\/p> \n

Foundational Systems: Still Valuable, but Stuck<\/strong><\/h2> \n

 <\/p> \n

Across industries like insurance, finance, telecom, and healthcare, many organizations still rely on powerful, decades-old systems<\/strong><\/span> like Informix, Sybase ASE, and DB2. These platforms run critical business processes \u2014 but moving the data they hold can be slow, expensive, and risky.<\/p> \n

Th<\/span>e p<\/span>riority isn\u2019t to replace these systems. It\u2019s to <\/span>connect them<\/strong><\/span>.<\/span><\/p> \n

Dataddo sits alongside your existing infrastructure, enabling high-speed, secure, and reliable data extraction<\/strong><\/span> without forcing rearchitecture or risky migrations.<\/p> \n

 <\/p> \n

Time to Insight: The Real Bottleneck<\/strong><\/h2> \n

 <\/p> \n

The delay between when data is created and when it\u2019s actually usable is often the biggest roadblock in enterprise analytics.<\/p> \n

Whether it\u2019s feeding a dashboard, a machine learning model, or a regulatory report, the bottleneck almost always appears at the integration layer<\/strong><\/span>.<\/p> \n

Dataddo\u2019s architecture eliminates this friction by allowing:<\/p> \n