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Data Science

▾ 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 Science / Machine Learning / Contributed
The Battle Between Unsupervised and Supervised AI
31 Dec 2020 6:00am, by Kim del Fierro
Cloud Services / Data Science / Contributed
How Database Load Balancing Completes the 3-Tiered Architecture
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Data Science / Software Development
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Data Science / Open Source / Sponsored / Contributed
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Data Science / Kubernetes
Pancakes, Spatulas and Why Abstracting Data Is the Next Frontier
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Mary Poppendieck on Why You Should Just Burn Your Backlog
23 Dec 2020 6:00am, by Jennifer Riggins
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10 Dec 2020 2:00pm, by Lawrence E Hecht
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10 Dec 2020 5:00am, by Susan Hall
Cloud Services / Data Science / Machine Learning
Amazon Web Services Brings Machine Learning to DataOps
9 Dec 2020 2:08pm, by Joab Jackson and B. Cameron Gain
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Data Science / Kubernetes / Open Source / Sponsored
Why Kubernetes and Kafka Are the Combo for DataOps Success
8 Dec 2020 3:00pm, by Jennifer Riggins
Data Science
DataOps Is More than ‘DevOps for Data’
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Amazon Web Services Wants You to Migrate off Legacy Databases
4 Dec 2020 12:39pm, by Richard MacManus
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How DataOps Helps Developers Get More Done with Real-Time Data
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TerminusDB Takes on Data Collaboration with a git-Like Approach
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Microsoft: Machine Learning Models Can Be Easily Reverse Engineered
30 Nov 2020 11:45am, by Joab Jackson
Cloud Services / Data Science / Kubernetes
Tutorial: Deploy a Kubernetes-Driven PostgreSQL-Hyperscale on Azure Arc
26 Nov 2020 6:00am, by Janakiram MSV
Data Science / IoT Edge Computing / Storage
In-Memory Computing’s Big Moment
25 Nov 2020 2:50pm, by Alex Williams
Data Science / Contributed
From Big to Fast: Presto Continues to Shine for Cloud Data Lake Analytics
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