Enterprise data architecture best practices
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Free Guide: 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.
Enterprise data architecture best practices News
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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.
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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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September 13, 2018
13
Sep'18
Containers key for Hortonworks alliance on big data hybrid
Hortonworks is joining with Red Hat and IBM to work together on a hybrid big data architecture format that will run using containers both in the cloud and on premises.
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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.
Enterprise data architecture best practices Get Started
Bring yourself up to speed with our introductory content
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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
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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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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
Evaluate Enterprise data architecture best practices Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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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
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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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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
Manage Enterprise data architecture best practices
Learn to apply best practices and optimize your operations.
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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
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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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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
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.
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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
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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
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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