Remove Data Architecture Remove Data Governance Remove Recreation/Entertainment
article thumbnail

Unleash deeper insights with Amazon Redshift data sharing for data lake tables

AWS Big Data

This breakthrough empowers data analytics to span the full breadth of shareable data, allowing you to seamlessly share local tables and data lake tables across warehouses, accounts, and AWS Regions—without the overhead of physical data movement or recreating security policies for data lake tables and Redshift views on each warehouse.

Data Lake 120
article thumbnail

5 Reasons to Use Apache Iceberg on Cloudera Data Platform (CDP)

Cloudera

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. Enterprise grade security and data governance – centralized data authorization to lineage and auditing.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Automate discovery of data relationships using ML and Amazon Neptune graph technology

AWS Big Data

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

article thumbnail

Peloton embraces Amazon Redshift to unlock the power of data during changing times

AWS Big Data

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). Wang points out that Redshift Serverless also allows him to spin up Amazon Redshift data warehouses to handle special usage patterns.

article thumbnail

How Amazon Finance Automation built a data mesh to support distributed data ownership and centralize governance

AWS Big Data

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 98
article thumbnail

How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Data Governance.

article thumbnail

Choosing an open table format for your transactional data lake on AWS

AWS Big Data

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. A new view has to be created (or recreated) for reading changes from new snapshots.

Data Lake 130