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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.

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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.

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Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Sanjeev Mohan

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? As you can tell, data governance is a hot topic but an area that many public cloud vendors are weak in. GCP has gained acceptance for development and experimentation and more enterprise customers are putting it into production. I am glad you asked.

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Unlock data across organizational boundaries using Amazon DataZone – now generally available 

AWS Big Data

When you first start using DataZone, you create a domain, and all core components, such as business data catalog, projects, and environments, that will exist within a domain. Organization-wide business data catalog – You can make data visible with business context for your users to find and understand data quickly and efficiently.

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Build a multi-Region and highly resilient modern data architecture using AWS Glue and AWS Lake Formation

AWS Big Data

This post explains how to create a design that automatically backs up Amazon Simple Storage Service (Amazon S3), the AWS Glue Data Catalog, and Lake Formation permissions in different Regions and provides backup and restore options for disaster recovery. The Data Catalog organizes this information in the form of metadata tables and databases.

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What you need to know about product management for AI

O'Reilly on Data

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data. What Are The Benefits of Business Intelligence?