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TDWI Upside - Where Data Means Business

Data Lakes and Data Storage


Modernizing Your Data Team and Its Best Practices

As you modernize your tools and platforms for data management to keep pace with evolving business requirements, take time to modernize your data team.

Platform Architecture and Data Architecture Are Different but Related

Many people (even experienced data pros) confuse related architectures, weakening data-driven solution designs and their business use cases.

Executive Q & A: Bursting Data to the Cloud

With so much data to store and analyze, no wonder hybrid cloud solutions are gaining favor. Haoyuan (H.Y.) Li, the founder and CEO of Alluxio, offers his perspective and best practices.

Can the New Thing Replace the Old Thing?

This is an important question to ask about many new IT systems and tools. The answer depends on many factors -- including forming the question properly.

Self-Service Ingestion: The Key to Creating a Unified, Scalable, Cloud Data Lake

Self-service ingestion helps enterprises capture, enrich, and process data smoothly and free up data and IT pros to focus on higher-value tasks.

The Evolution of Data Lake Architectures

For data lakes, as with any valuable enterprise data set, architecture is a requirement. But it is also a moving target, due to ongoing evolution.

Keep Privacy and Governance in Mind When Developing or Updating Your Systems

Enterprises face conflicting and complex privacy and governance regulations that don’t make it easy to comply. These tips can help you get a handle on compliance.

I Have a Data Warehouse, Do I Need a Data Lake Too?

When building your data and analytics program, you must decide whether you need a data warehouse, a data lake, or both. Understanding the difference is the first step.

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