Remove 2018 Remove Big Data Remove Data Engineering Remove Network
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Kubernetes for Big Data Workloads

Abhishek Tiwari

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.

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5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

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.