Enterprise data architecture best practices

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Enterprise data architecture best practices News

August 08, 2018 08 Aug'18
Confluent Platform 5.0 aims to mainstream Kafka streaming

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 19 Jul'18
Focus, scope and spotting opportunity are key to role of CDO

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 16 Jul'18
Chief data officer role: Searching for consensus

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 27 Jun'18
MongoDB 4.0, Stitch aim to grow NoSQL apps in cloud, on-prem

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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Enterprise data architecture best practices Get Started

Bring yourself up to speed with our introductory content

Good data quality for machine learning is an analytics must

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
Labeled data brings machine learning applications to life

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
GPU cloud tools take complexity out of machine learning infrastructure

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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Evaluate Enterprise data architecture best practices Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Open source database software finally gets down to business

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 RDBMS uses spurred by lower costs, cloud options

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
Beyond the RDBMS: Data warehouse vs. data lake vs. data mart

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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Manage Enterprise data architecture best practices

Learn to apply best practices and optimize your operations.

Four first steps for customer data management

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
Evolving data integration strategies target new analytics needs

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
What goes into a customer analytics data integration framework

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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Problem Solve Enterprise data architecture best practices Issues

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What's the difference between DDL and DML?

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 techniques to help keep BI data consistent

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
Kubernetes container orchestration gets big data star turn

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

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