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Key Highlights from Data Intelligence Day 2025 Amsterdam by Databricks

Analysts Corner

First, the workflow transitioned from ETL to ELT, allowing raw data to be loaded directly into a data warehouse before transformation. Second, they leveraged the Databricks Data Lakehouse, a unified platform combining the best features of data lakes and data warehouses to drive data and AI initiatives.

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What did we learn at the SAP UK “The Journey To The Top” Event?

Timo Elliott

Richard Mooney showed off some of the new possibilities, with a demo of natural language querying, powered by machine learning. Karsten Ruf , in turn, took the audience through the detailed SAP roadmap around BW4/HANA V2 and the brand-new SAP Data Warehouse cloud. People, collaboration, and ease of use.

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The 8 Best Hevo Data Alternatives to Build ELT/ETL Data Pipelines in 2025

Astera

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. Wide Source Integration: The platform supports connections to over 150 data sources.

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What is Data Modernization? Benefits, Importance & Components

Astera

Improve Data Access and Usability Modernizing data infrastructure involves transitioning to systems that enable real-time data access and analysis. The transition includes adopting in-memory databases, data streaming platforms, and cloud-based data warehouses, which facilitate data ingestion , processing, and retrieval.

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What is ETL? – Extract, Transform, Load Explained

Astera

Reverse ETL is a relatively new concept in the field of data engineering and analytics. It’s a data integration process that involves moving data from a data warehouse, data lake, or other analytical storage systems back into operational systems, applications, or databases that are used for day-to-day business operations.

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What is a database?

Astera

Data warehouses Data warehouses are a specialized type of database designed for a specific purpose: large-scale data analysis. Today, cloud computing, artificial intelligence (AI), and machine learning (ML) are pushing the boundaries of databases. These are some of the most common databases.

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What is Data Orchestration? Definition, Process, and Benefits

Astera

Automate Your Data Tasks with Astera Astera enables you to automate data tasks' execution using its Job Scheduler and Workflows features. Request a FREE Demo Today! What are the Benefits of Data Orchestration? Generally, this destination or target system is a data warehouse. Try them out for yourself!