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What is a Customer Data Platform?

By   /  November 16, 2018  /  Data Architecture Blogs, Data Architecture News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Enterprise Information Management, Information Management Blogs  /  No Comments

Click to learn more about author Jonathan Lee. In the past year and a half DATAVERSITY readers have been exposed to new Customer Data Platform (CDP) offerings from vendors like BlueConic, RedPoint Global and others. But what is a CDP? First introduced around 2013, CDP is a concept defined by the Customer Data Platform Institute […]

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Data Virtualization Defined: How it Helps Organizations Succeed

By   /  November 15, 2018  /  Data Architecture Articles, Data Architecture News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Database Articles, Database News, Articles, & Education, Education Resources For Use & Management of Data, Enterprise Information Management, Information Management Articles  /  No Comments

Data Virtualization (DV) is unlike traditional Data Integration, where change must be made on multiple layers; Data Virtualization makes change easy for the business as new requirements and sources can be integrated and changed rapidly. The Data Management Association International (DAMA) Data Management Book of Knowledge (DMBOK), second edition, describes Data Virtualization as: “Data Virtualization […]

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A Brief History of Data Lakes

By   /  November 8, 2018  /  Big Data Articles, Big Data News, Articles, & Education, Data Architecture Articles, Data Architecture News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Database Articles, Database News, Articles, & Education, Education Resources For Use & Management of Data  /  No Comments

Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the […]

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Five Tips to Completing Analytics’ Infamous “Last Mile” in 2019

By   /  November 5, 2018  /  BI / Data Science Blogs, BI / Data Science News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education  /  No Comments

Click to learn more about author Mike Lamble. In 2017, the term “Data Scientist” was LinkedIn’s fastest growing job title; yet, in the same year, McKinsey reported that less than 10 percent of Analytic Models that are developed actually make it to production where they can deliver ROI. The bottleneck lies in what industry insiders call […]

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Data Warehouses and GPUs: Big Data at High Speed

By   /  October 31, 2018  /  BI / Data Science Articles, BI / Data Science News, Articles, & Education, Big Data Articles, Big Data News, Articles, & Education, Data Architecture Articles, Data Architecture News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Education Resources For Use & Management of Data  /  No Comments

“Three years ago it was tough to tell the market that they should put a Data Warehouse on top of something that runs on top of GPUs,” said Ami Gal, CEO and co-founder of SQream. “Now it’s clear that GPUs are storming A.I., Machine Learning, and data centers,” and GPU technology has become an accepted […]

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So You Want to be a Data Engineer?

By   /  October 30, 2018  /  Big Data Articles, Big Data News, Articles, & Education, Data Architecture Articles, Data Architecture News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Education Resources For Use & Management of Data, Enterprise Information Management, Information Management Articles  /  No Comments

The work of Data Engineers is extremely technical. They are responsible for designing and maintaining  the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to Data Warehouses. Data Engineers need to have a solid understanding of commonly used scripting languages and are expected to support the steady evolution of improved Data Quality, […]

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Data-as-a-Service: Helping Companies Get More Value From Their Data, Faster

By   /  October 26, 2018  /  Data Architecture Blogs, Data Architecture News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs  /  No Comments

Click to learn more about author Kelly Stirman. Roger Magoulas introduced us to the term Big Data back in 2005. Never did we imagine that data was going to increase in volume so fast that the term itself would become almost irrelevant and big data would become just ‘data’. Big Data also brought with itself concepts […]

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GPU-accelerated Data Warehouse SQream DB Boosts Query Performance by Up to 150%

By   /  October 4, 2018  /  Big Data News, Big Data News, Articles, & Education, Data Daily | Data News, Data Education, Database News, Database News, Articles, & Education, Education Resources For Use & Management of Data  /  No Comments

According to a new press release, “SQream, developer of SQream DB, the GPU-accelerated data warehouse for rapidly analyzing massive data stores at a fraction of the cost, announced today at the OpenPOWER Foundation Summit in Europe, that SQream DB now includes optimized support for the IBM POWER9 multi-core architecture. The powerful trinity of SQream DB, […]

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So You Want to be a Big Data Analyst?

By   /  September 12, 2018  /  BI / Data Science Articles, BI / Data Science News, Articles, & Education, Big Data Articles, Big Data News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Education Resources For Use & Management of Data, Enterprise Information Management, Information Management Articles  /  No Comments

With the increasing use of Big Data by organizations in every field, the need for Big Data Analysts will continue to grow. Big Data Analysts examine vast amounts of varied data. They uncover hidden patterns, customer preferences, and market trends. One of the primary differences between a Big Data Analyst and a Data Scientist is […]

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