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Aerospike NoSQL database hooks up to Spark
Apache Kafka and Apache Spark connectors ease use of the Aerospike NoSQL data store in high-speed applications such as analytics that are becoming more broadly supported.
News
GDPR, data governance find place in data catalog
Data catalog systems form a hub for managing a company's data. New products are focusing on machine learning and AI add-ons that help automate some aspects of data governance.
Evaluate
Enterprises starting to augment data management
With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data.
Manage
7 data modeling challenges to avoid
Data modeling and curation can help businesses more efficiently use data they've collected. There are challenges, however -- beginning with ensuring data quality.
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.
Trending Topics
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Big data management News
Facebook Presto engine finds home in new foundation
The Presto engine arose as an alternative to Hive for big data queries. Now, the Presto Software Foundation has formed to promote the SQL query software's virtues.
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Data governance News
GDPR, data governance find place in data catalog
Data catalog systems form a hub for managing a company's data. New products are focusing on machine learning and AI add-ons that help automate some aspects of data governance.
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Project management Get Started
Data operations is more a strategy than a technology
Data operations is young compared to DevOps, but it is increasingly used as part of projects that put data at the center of development. Here, Delphix CTO Eric Schrock makes observations about the trend.
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DBMS software News
MarkLogic adds hosted cloud service for NoSQL database
MarkLogic rolled out a cloud-service version of its NoSQL database management system, a move designed to make the technology more cost-effective for cloud users.
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Data architecture Evaluate
Enterprises starting to augment data management
With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data.
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Hadoop Evaluate
Manage big data environments with Hadoop software
Discover the uses of Hadoop distributions and the first steps in evaluating these products, as well as how the merger of rivals Cloudera and Hortonworks affects the market.
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Data integration technology (5) +
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Data management resources (3) +
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Data quality management and governance (5) +
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Database management systems (DBMS) (6) +
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Enterprise business intelligence (14) +
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- Business intelligence search
- Business intelligence technology platform
- Compliance reporting software
- Corporate performance management software
- Data mining and business intelligence
- Data mining and predictive analytics
- Financial reporting and compliance data management
- Text analytics software and text mining
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Enterprise content management systems (6) +
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Enterprise data warehouse management (7) +
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Master data management strategy (3) +
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Vertical data management strategies (4) +
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Find Solutions For Your Project
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Evaluate
Enterprises starting to augment data management
With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data.
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Manage big data environments with Hadoop software
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Hello, Hollywood: Machine learning writes the script
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Data warehousing makes tentative comeback
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Problem Solve
What data governance challenges do data lakes pose?
Expert Anne Marie Smith explores challenges an organization may face when apply data governance policies to data lakes -- and the benefits of doing so.
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EHRs still no cure-all for duplicate medical records
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Four steps to create a customer data management plan
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When should I use DML vs. DDL commands?
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Manage
7 data modeling challenges to avoid
Data modeling and curation can help businesses more efficiently use data they've collected. There are challenges, however -- beginning with ensuring data quality.
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How to improve data curation
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Real-time data integration best practices
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Data management's evolution: From chaos to governance
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E-Handbook | January 2019
Graph database use cases reveal relationships in data sets
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E-Zine | December 2018
HR makes major strides toward improving employee engagement
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E-Zine | October 2018
AI for analytics augments and bolsters business intelligence
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E-Handbook | August 2018
Open source database software finally gets down to business
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E-Zine | August 2018
Cloud vs. legacy ERP systems: Tug of war intensifies for SMBs
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Data Management/Data Warehousing Basics
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Get Started
Data operations is more a strategy than a technology
Data operations is young compared to DevOps, but it is increasingly used as part of projects that put data at the center of development. Here, Delphix CTO Eric Schrock makes observations about the trend.
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Get Started
data analytics (DA)
Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information.
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Get Started
HR makes major strides toward improving employee engagement
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Data quality techniques and best practices
Data management advice to avoid risks, misuse
Many data professionals have yet to solidify traditional data management practices, but they have a new set of challenges to overcome to ensure data privacy and avoid misuse.
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Database management system (DBMS) architecture, design and strategy
Aerospike NoSQL database hooks up to Spark
Apache Kafka and Apache Spark connectors ease use of the Aerospike NoSQL data store in high-speed applications such as analytics that are becoming more broadly supported.
-
Data governance strategy
GDPR, data governance find place in data catalog
Data catalog systems form a hub for managing a company's data. New products are focusing on machine learning and AI add-ons that help automate some aspects of data governance.