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Remove 2018 Remove Big Data Remove Data Engineering Related Topics
Hardware Latency Storage Artificial Intelligence Network Architecture Benchmarking Cloud Cache Systems More Related Topics >
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Kubernetes for Big Data Workloads

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges.

Big Data 63
Big Data Storage Benchmarking Hardware 63
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5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

DECEMBER 27, 2017

There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole. Common in-memory data interfaces. Based on data access pattern i.e. hot, warm and cold Alluxio makes.

Big Data 49
Big Data Artificial Intelligence Storage Hardware 49
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