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Strategies And Tactics For A Successful Master Data Management Implementation

Data Engineering Podcast

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics.

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Self Service Data Management From Ingest To Insights With Isima

Data Engineering Podcast

At Isima they decided to reimagine the entire ecosystem from the ground up and built a single unified platform to allow end-to-end self service workflows from data ingestion through to analysis. What was your motivation for creating a new platform for data applications? What is the story behind the name?

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8 Data Ingestion Tools (Quick Reference Guide)

Monte Carlo

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

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The Future of Data Lakehouses: A Fireside Chat with Vinoth Chandar - Founder CEO Onehouse & PMC Chair of Apache Hudi

Data Engineering Weekly

Together, we discussed how Hudi drives innovation, the state of open standards, and what lies ahead for data lakehouses in 2025 and beyond. This foundational concept addresses a key challenge for enterprises: building scalable, high-performing data platforms that can support the complexity of modern data ecosystems.

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Data Ingestion: 7 Challenges and 4 Best Practices

Monte Carlo

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Table of Contents What is Data Ingestion? Decision making would be slower and less accurate.

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Introducing Compute-Compute Separation for Real-Time Analytics

Rockset

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

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Complete Guide to Data Ingestion: Types, Process, and Best Practices

Databand.ai

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. In this article: Why Is Data Ingestion Important?