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Enterprise data architecture best practices News
August 08, 2018
Confluent Platform updates seek to bring data streaming with Apache Kafka to a wider audience. A new GUI and user-defined functions are part of the 5.0 release.
July 19, 2018
Chief data officers and experts see the CDO role as changing to a more strategic orientation -- especially finding key opportunities in vast troves of data.
July 16, 2018
The chief data officer role is about many things -- regulations, innovation, AI and more. Consultant Randy Bean discussed the matter ahead of an MIT symposium on the topic.
June 27, 2018
NoSQL vendor MongoDB upgraded its database software with ACID support, while also releasing a serverless platform intended to simplify application development.
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As companies add machine learning applications, they need to really understand -- and be able to improve -- their data. That's where data quality initiatives come in. Continue Reading
The types of data being collected for analytics use are increasing, but traditional structured data is a good match for machine learning. Gartner's Svetlana Sicular explains why. Continue Reading
While talk of AI on GPUs is abuzz, actually building a machine learning infrastructure remains a dark art. A startup's PaaS is looking to automate parts of the process. Continue Reading
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Once used primarily in web applications, open source databases are finding a place in more mission-critical business systems -- a development explored in this handbook. Continue Reading
Open source technologies have become more capable alternatives to mainstream relational databases for cost-conscious users -- and the cloud makes them more accessible. Continue Reading
There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. Continue Reading
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Forrester's Mike Gualtieri details how to develop a unified plan to manage customer data that gives business users what they need to manage CRM programs. Continue Reading
Most companies don't have a shortage of data, but it's often stored in siloed systems or inconsistent formats -- problems that data integration programs need to address. Continue Reading
Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process. Continue Reading
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What's the difference between DDL and DML? Get the answer and see examples of data manipulation language and data definition language commands for SQL databases. Continue Reading
Data integration processes that aren't managed properly can create inconsistent data in BI and analytics applications. Here are some steps to avoid that problem. Continue Reading
The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading