Introduction Often, data lake platforms lack simple ways to enforce data governance. This is especially challenging since data governance requirements are complicated to begin with, even without the added complexities of managing data in a data lake. Therefore, enforcing them is an expensive, time-consuming ongoing effort, requiring continuous management. Typically, at the expense of data …
Introduction This tutorial will review all steps needed to configure lakeFS on Databricks. This tutorial assumes that lakeFS is already set up and running against your storage (in this example AWS s3), and is focused on setting up the Databricks and lakeFS integration. Prerequisites Step 1 – Acquire lakeFS Key and Secret In this step, …
Databricks and lakeFS Integration: Step-by-Step Configuration Tutorial Read More »
lakeFS is gaining momentum as a solution for data versioning on top of an object store, and more and more data driven organizations adopt lakeFS as their data version control. Once you start using lakeFS, the files on your object store will form in a new structure. Other solutions, such as Iceberg, also create a …
What is ETL Testing? ETL testing is the process of evaluating and verifying that the ETL (Extract, Transform, Load) processes work correctly. What is ETL? An ETL process Extracts data of potentially many different structure or unstructured formats from multiple sources into a centralized repository. Then, an ETL process Transforms the data to a format …
Apache airflow enables you to build multistep workflows across multiple technologies. The programmatic approach, allowing you to schedule and monitor workflows, helps users build complicated ETLs on their data that will be difficult to achieve automatically otherwise.This enabled the evolution of ETLs from simple single steps to complicated, parallelized, multi steps advance transformations: The challenge …
Troubleshoot and Reproduce Data with Apache Airflow Read More »
You’re bound to ask yourself this question at some point: Do I need to test the Spark ETLs I’m developing? The answer is yes; you certainly should – and not just with unit testing but also integration, performance, load, and regression testing. Naturally, the scale and complexity of your data set matters a lot, so …
© Copyright 2022 | All Rights Reserved | Privacy Policy | Terms of Use
LIVE: Develop Spark pipelines against production data on February 15 -
Register Now