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Top 6 Benefits of Automating End-to-End Data Lineage

erwin

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business. defense budget.

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Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool

AWS Big Data

To solve this, we’re introducing the Hadoop migration assessment Total Cost of Ownership (TCO) tool. The self-serve HMDK TCO tool accelerates the design of new cost-effective Amazon EMR clusters by analyzing the existing Hadoop workload and calculating the total cost of the ownership (TCO) running on the future Amazon EMR system.

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Deep dive into the AWS ProServe Hadoop Migration Delivery Kit TCO tool

AWS Big Data

In the post Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool , we introduced the AWS ProServe Hadoop Migration Delivery Kit (HMDK) TCO tool and the benefits of migrating on-premises Hadoop workloads to Amazon EMR. After you complete the checklist, you’ll have a better understanding of how to design the future architecture.

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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Don’t try to do everything at once!

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How GamesKraft uses Amazon Redshift data sharing to support growing analytics workloads

AWS Big Data

Amazon Redshift data sharing allows you to extend the ease of use, performance, and cost benefits offered by a single cluster to multi-cluster deployments while being able to share data. Data sharing enables instant, granular, and fast data access across Amazon Redshift data warehouses without the need to copy or move it.

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 1

AWS Big Data

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0 Data Vault 2.0

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Lay the groundwork now for advanced analytics and AI

CIO Business Intelligence

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. After moving its expensive, on-premise data lake to the cloud, Comcast created a three-tiered architecture.