Enterprise data architecture best practices

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Machine Learning Meets Data Quality

Read an exclusive interview with Andrew Burt, chief privacy offer and legal engineer at Immuta Inc., on data governance and machine learning integration. Plus, uncover steps IT managers are taking to improve data quality in their big data environments in order to ensure analytics accuracy.

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Enterprise data architecture best practices News

December 18, 2018 18 Dec'18
Datawatch Swarm on path to combine data prep, analytics

Datawatch plans to add analytics and data visualization tools to its Swarm data preparation platform, starting with integration capabilities in a Swarm 2.2 release.
November 30, 2018 30 Nov'18
Amazon Timestream, QLDB aim to grab more DBMS users for AWS

Built-for-purpose databases target general ones, especially in the cloud. At re:Invent 2018, AWS added time-series and transaction ledger databases to expand its line.
October 04, 2018 04 Oct'18
Cloudera-Hortonworks merger narrows Hadoop users' options

Hadoop users will have fewer choices as big data rivals Cloudera and Hortonworks unite. But the new company may be more competitive with AWS and Google.
September 26, 2018 26 Sep'18
Mining equipment maker uses BI on Hadoop to dig for data

BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people.

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Enterprise data architecture best practices Get Started

Bring yourself up to speed with our introductory content

data mart (datamart)

A data mart is a repository of data that is designed to serve a particular community of knowledge workers. Continue Reading
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

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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.

Don't let blockchain complexity bog down business applications

Enterprise blockchain applications that run in a controlled environment don't require some of the components of cryptocurrency networks, explains expert David Teich. Continue Reading
Cloud buoys data microservices -- for on-premises systems, too

Data in a microservices architecture is percolating anew. This news analysis looks at IBM Cloud Private for Data and other means to harmonize data in public and private locations. Continue Reading
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

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Manage Enterprise data architecture best practices

Learn to apply best practices and optimize your operations.

How to build a master data index: Static vs. dynamic indexing

Expert David Loshin explores the differences between static and dynamic indexing in master data management systems, and which queries each approach can support. Continue Reading
Big data platform broadens place in analytics architecture

Big data platforms stumbled a bit getting out of the prototyping stage. But a view from the Strata Data Conference in New York sees broader use in the offing. Continue Reading
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

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Problem Solve Enterprise data architecture best practices Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

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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