Traditional relational databases have been highly effective at handling large sets of structured data. That’s because structured data conforms nicely to a fixed schema model of neat columns and rows ...

Why is Spark So Hot? The amount of data generated around the globe each day is 2.5 exabytes (Adepta, March 2015), and the big data market reached $27.4 billion in 2014 (Wikibon, March 2015). Spark is ...

Big data adoption has been growing by leaps and bounds over the past few years, which has necessitated new technologies to analyze that data holistically. Individual big data solutions provide their ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...

In theory, data lakes sound like a good idea: One big repository to store all data your organization needs to process, unifying myriads of data sources. In practice, most data lakes are a mess in one ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

It's time to celebrate the incredible women leading the way in AI! Nominate your inspiring leaders for VentureBeat’s Women in AI Awards today before June 18. Learn More Following the initial rise of ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...