article thumbnail

How Eightfold AI implemented metadata security in a multi-tenant data analytics environment with Amazon Redshift

AWS Big Data

As part of the Talent Intelligence Platform Eightfold also exposes a data hub where each customer can access their Amazon Redshift-based data warehouse and perform ad hoc queries as well as schedule queries for reporting and data export. Many customers have implemented Amazon Redshift to support multi-tenant applications.

Metadata 103
article thumbnail

2019 Highlights in Metadata Management

Octopai

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. View more news from 2019 and beyond here.

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

Benefits of Metadata Management Automation in the Insurance Industry

Octopai

. – Property insurers are using troves of geographical, geological, climate, and other data to assess all kinds of hazard risks. – All types of insurance companies are leveraging data analytics to detect and prosecute fraud. Insurance Metadata Management. Both of these two keys deal with metadata.

article thumbnail

Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often.

article thumbnail

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. In this traditional architecture, a relational database is used to store data from streaming data sources.

article thumbnail

6 DataOps Best Practices to Increase Your Data Analytics Output AND Your Data Quality

Octopai

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Automated workflows for data product creation, testing and deployment.

article thumbnail

What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Semi-structured data falls between the two.