All Things Distributed

JUNE 26, 2016

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. For more details, see the case studies at All AWS Customer Stories.

AWS 90

AWS Cloud Healthcare Blockchain 90

All Things Distributed

DECEMBER 8, 2016

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. For more customer case studies, see All AWS Customer Stories. Rapid time to market.

AWS 155

AWS Cloud Lambda Innovation 155

SQL Server According to Bob

FEBRUARY 15, 2018

Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better. Maximise compute performance with Azure SQL Data Warehouse – More JRJ on Azure DW. Azure Cosmos DB: design patterns and case studies – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

Highly Scalable

MARCH 10, 2015

Data mining offers a variety of techniques for nonparametric modeling that helps to create flexible and practical models. Many articles and case studies published during the last decade successfully achieve the balance between abstract models and machine learning. However, many of these models are highly parametric (i.e.

Retail 152

Retail C++ Analytics Metrics 152