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Data Pipelines: The Hammer for Every Nail
For big data and complex data processing, data pipelines have emerged as a popular solution for …
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 …
ETL Workflow Modeling
Developing Extract–transform–load (ETL) workflow is a time-consuming activity yet a very important …
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. …
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 …
For next wave of innovation organisations will need internal data services
To unlock the true value of data, organisations will need internal data services. Data services …
Amazon Redshift : Avoid data redistribution
When using Amazon Redshift, distribution style plays an important role in optimising the table …