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Friends don't let friends build data pipelines
Building data pipelines can offer strategic advantages to the business. It can be used to power new …
Why engaged teams are not always the best performers?
The assumption that engagement is somehow strongly correlated with performance is misplaced. …
ETL Workflow Modeling
Developing Extract–transform–load (ETL) workflow is a time-consuming activity yet a very important …
10 open-source Kubernetes tools for highly effective SRE and Ops Teams
If you are running workloads in Kubernetes, your site reliability engineering (SRE) and operations …
5 data integration trends that will define the future of ETL in 2018
ETL refers to extract, transform, load and it is generally used for data warehousing and data …
Kubernetes for Big Data Workloads
Kubernetes has emerged as go to container orchestration platform for data engineering teams. …
Getting started with Conduit - lightweight service mesh for Kubernetes
On this blog from very early on, we have advocated the concept of service mesh. In fact, our post a …
How machine learning is accelerating data integration?
Data integration generally requires in-depth domain knowledge, a strong understanding of data …
A case for ELT
Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data …