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Debunking the Data Scientist Mythology

Data science is a team effort that depends on vital contributions from data engineers, data architects, business analysts, and business subject matter experts.

Career Advice for Analysts: Become an Agile Problem-Solver

To become a recognized expert, you cannot just rely on your technical knowledge. There are two parts to becoming an agile problem-solver: the "problem-solver" part and the "agile" part.

Analysis: Tableau Shakes Things Up with New Leadership

Data visualization and discovery specialist Tableau Software announced that cofounder Christian Chabot would be relinquishing his position as CEO. Analysts see plenty to like in Tableau’s incoming CEO, Adam Selipsky.

Data Digest: Cloud Storage Drawbacks, Pitfalls of Big Data Marketing, IoT Security Checklist

Today read about the benefits and drawbacks of cloud storage, how marketers are both using and misusing big data, and a checklist of needed security measures for your IoT devices.

How Customers Drive BI and Analytics Innovation

The upcoming TDWI Executive Summit in San Diego will explore innovations in BI, analytics, and data management that are essential for achieving customer intelligence and better customer experiences.

Data Digest: Big Data Success Factors, Open Source Definitions, Cost of Cloud Computing

How to build a successful big data strategy around customer experience, why developers are the best judge of what constitutes open source, and when in-house systems could actually be cheaper than cloud computing.

Clash of the Titans: Hadoop versus Spark

Because Spark can run independently of Hadoop, some see the two as competitors. However, these technologies can complement each other depending on enterprise needs.

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