Data Lineage category

Unified DataOps: Components, Challenges, and How to Get Started

4 min read - Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps and analytics. The goal of this strategy is to streamline the entire process of extracting insights from raw data by removing silos between teams and technologies.  Unifying these various components of the data lifecycle under a single overarching framework allows organizations to enjoy better collaboration, quicker project time-to-value and enhanced overall efficiency. A unified DataOps strategy gives companies the…

What is ELT (Extract, Load, Transform)? A Beginner’s Guide

4 min read - ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. This transformation could involve cleaning, aggregating, or summarizing the data. ELT is commonly used in big data projects and real-time processing where speed and scalability are critical. In the past, data was often stored in a single location, such as a database or a data warehouse. However,…

How Databand Achieves Automated Data Lineage

3 min read - Data lineage seems to be a hot topic for data platform teams. In this blog, we’re going to walk you through how IBM® Databand® provides automated data lineage so you can easily diagnose pipeline failures and analyze downstream impacts. Watch the video to see Databand in action or continue reading for detailed information. Analyze alerts Utilizing automated data lineage typically begins with an alert. You can jump right into a lineage graph, but it’s important to first know why the…

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