Every data analytics project starts with the critical first step of creating and operationalizing healthy data lakes. A unified data lake is created by onboarding multiple data sources. Onboarding a data source is more than ingesting the data once.
READ MOREData onboarding is the critical first step in operationalizing your data lake. DataFoundry automates data ingestion as well as the key functionality that must accompany ingestion to establish a complete foundation for analytics.
READ MOREIn this article, we discuss the largest industry shifts in big data from 2019, and where we see big data trends going as we head into 2020.
READ MOREWhat are the benefits and the details of the capabilities of an EDO2 system?
READ MOREEDO2 refers to the systems and processes that enable businesses to organize and manage data from disparate sources and process the data for delivery to analytic applications.
READ MOREAfter data is ingested into a data lake, data engineers need to transform this data in preparation for downstream use. Challenges in data preparation tend to be a broad collection of issues that add up over time to create significant ongoing maintenance and management issues.
READ MOREIn the not too a distant future, the business world will be split into two camps - companies which have an agile analytics capability and those companies that get eaten by the first group
READ MOREUnleash yourself from the Teradata and Netezza data warehouse ball and chain. Moving to a modern data architecture has never been easier.
READ MOREThere are many "gotchas" in populating a data lake. Read on to find out the magic behind automating away many of the most difficult challenges.
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