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IDC research shows that automated data movement enables organizations to improve insights and derive more value from cloud data warehouses and lakes.

According to the Chief Economists Outlook published by the World Economic Forum in September 2022, 7 out of 10 economists now consider a global recession at least somewhat likely. The sales organization has a front seat view to the impacts of recession as sales personnel hear their customers cite budget cuts, postpone purchases, and possibly look for less expensive alternatives.

What’s the difference between knowledge and wisdom? Knowledge is knowing Excel is Turing-complete. Wisdom is not using Excel as your database. The best data engineering tools make your life easier. Speed up processes, simplify complex operations, give you insights into the machinery, and maybe save some $ along the way. In this article, we’ll give you an overview of the 7 best data tools for data engineering use cases.

Data warehousing requires data centralization, whereas data mesh enables a decentralized approach to data access. Organizations might think that the solution to their data management strategy requires a choice between the two, but the reality is that both approaches can and should co-exist.

Connected-Stories NEXT is an end-to-end creative management platform built on Google Cloud to develop, serve, and optimize interactive video and display ads that scale across any channel.

‍Completely unrelated to the unfolding events at a prominent social media company, we thought it is a good idea to highlight some anti-patterns to measuring productivity, and a few things that should be common sense to do instead.

Stream processing is about creating business value by applying logic to your data while it is in motion. Many times that involves combining data sources to enrich a data stream. Flink SQL does this and directs the results of whatever functions you apply to the data into a sink.