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Building A Data Governance Bridge Between Cloud And Datacenters For The Enterprise At Privacera

Data Engineering Podcast

How would you characterize your position in the market for data governance/data security tools? What are the unique constraints and challenges that come into play when managing data in cloud platforms? Acryl]([link] The modern data stack needs a reimagined metadata management platform.

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Sentry to Ranger – A concise Guide

Cloudera

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Apache Sentry is a role-based authorization module for specific components in Hadoop. It is useful in defining and enforcing different levels of privileges on data for users on a Hadoop cluster.

Hadoop 74
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Build Your Own End To End Customer Data Platform With Rudderstack

Data Engineering Podcast

You can observe your pipelines with built in metadata search and column level lineage. What are some of the data privacy primitives that you include to assist with data security/regulatory concerns? What is the process of getting started with Rudderstack as a software or data platform engineer?

Building 100
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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

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Data governance beyond SDX: Adding third party assets to Apache Atlas

Cloudera

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. The SDX layer of CDP leverages the full spectrum of Atlas to automatically track and control all data assets.

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Data Engineering Glossary

Silectis

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse. Data Catalog An organized inventory of data assets relying on metadata to help with data management.