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Data

▾ 0 MINUTE READ — CLOSE

The era of the single-use database is over and we are seeing a plethora of new database systems built for specific tasks (distributed key value stores, NewSQL,graph databases, etc). Over the next few years there will be some shakeout in the industry as enterprises decide between the tradeoff of performance that the new databases bring versus the ease-of-use that more general use databases (MySQL, PostgreSQL) offer.

Of particular note is the emergence of streaming data, which requires data to be analyzed while still in the server’s memory. Here, Kafka and other technologies supplant the traditional Hadoop and Spark-based big data tools.  Also, there is the ongoing challenge of fitting stateful database workloads into “stateless” cloud-native architectures.


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Data / Machine Learning / Security

Intezer Provides Code ‘DNA Mapping’ to Root out Malware

26 Feb 2018 10:21am, by Susan Hall

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This Week in Numbers: Microservices and Streaming Data, Perfect Together

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Data / Contributed

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Data

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Data / Sponsored / Contributed

Why Should I Use a Time Series Database?

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12 Feb 2018 3:06pm, by Joab Jackson

Cloud Native / Data / Kubernetes

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Containers / Data / Kubernetes / Open Source

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5 Feb 2018 2:03pm, by Scott M. Fulton III

Containers / Data / Kubernetes / Open Source

CoreOS, Red Hat and Kubernetes Competition

3 Feb 2018 9:00am, by Lawrence E Hecht

Data / Security / Contributed

How to Minimize the Meltdown Patch Performance Penalty

2 Feb 2018 3:01am, by Dor Laor

Cloud Native / Containers / Data / Kubernetes / Security

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CI/CD / Cloud Native / Culture / Data / Edge / IoT / Machine Learning

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Data

SQL-on-Hadoop Database Trafodion Bridges Transactions and Analysis

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LinkedIn’s Gobblin: An Open Source Framework for Gobbling Big Data with Ease

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Can Yelp Data Predict Restaurant Closures?

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melting ice in Iceland

Data / Serverless

Serverless Technologies are not Immune to Meltdown

19 Jan 2018 10:04am, by Mark Boyd

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Data / Edge / IoT / Machine Learning

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CI/CD / Data

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Mnemonic: Memory Management for Big Data

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