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Fundamentals of Data Engineering

Xebia

– Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data.

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The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Deloitte calculated that companies with data-driven CEOs are 77 percent more likely to succeed) and in today’s business world it’s absolutely self-evident that data is the key to success.

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IBMs Web 2.0 and Beyond Summit - April 15-17 - Watson Research Center (Yorktown Heights, NY, US)

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10 Great Strategic Benefits of Blogging

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