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Enterprise data architecture best practices News
October 04, 2018
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
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.
September 13, 2018
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.
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.
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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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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
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
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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
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
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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