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Data Warehouse vs Big Data

Knowledge Hut

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages.

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Data Warehouse Migration Best Practices

Monte Carlo

So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

It offers users a data integration tool that organizes data from many sources, formats it, and stores it in a single repository, such as data lakes, data warehouses, etc., Glue uses ETL jobs for extracting data from various AWS cloud services and integrating it into data warehouses and lakes.

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How to Easily Connect Airbyte with Snowflake for Unleashing Data’s Power?

Workfall

Meet Airbyte, the data magician that turns integration complexities into child’s play. In this digital era, businesses thrive on data, and making this data dance harmoniously with your analytics tools is crucial. Pre-filter and pre-aggregate data at the source level to optimize the data pipeline’s efficiency.

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Top Data Catalog Tools

Monte Carlo

Data catalogs are important because they allow users of varying types to access useful data quickly and effectively and can help team members collaborate and maintain consistent organization-wide data definitions. Governance can be handled at a granular level and access control becomes part of the custom workflow.

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Case Study: How Rockset Made Me a Day Three Hero at Sounding Board

Rockset

I’ve been working as a data and software engineer for more than 20 years. Not long after I joined my current employer Sounding Board , I had to normalize nested JSON arrays in a complex document schema so that I could join the child records to other collections and then denormalize data into a single result set — and I had to do it fast.

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17 Super Valuable Automated Data Lineage Use Cases With Examples

Monte Carlo

Solutions with automated data lineage capabilities constantly update these graphs and illustrate them as nodes and edges, or in other words, the objects through which the data travels and the relationship between them. For example, your ability to ingest data is virtually limitless, but your capacity to document it is not.