Data Analytics with Zero Latency and High Precision?

Everyone is “doing analytics” these days

Data Analytics is an IT buzzword. Hundreds of paradigms and solutions: change-data-capture, ETL, ELT, ingestion, staging, OLAP, data streaming, map/reduce, stream processing, data mining,… Amazon Redshift and Lambda; Apache Kafka, Storm, Spark and Hadoop Map/Reduce; Oracle GoldenGate; VMware Continuent, … gazillion of offers. All this hype makes it easy to loose track.

The Problem

What is the problem that all…


Technical Matrix

Experienced engineers are those that do not head-jump on the solution with hipster next-great-thing technology approach, rather carefully evaluate the unique customer needs and apply the right technology combination for optimal results. Like an experienced craftsman, each DataStork engineer masters vast palette of tools and knows which ones to pick for the job.

Get a summary of the technologies that DataStork masters: DataStork-Expertise


Case Study: BigData for Logistics Optimizations

For Logistic companies to reduce delivery times and expenses is a way to survive. Enterprise Logistics may require massive computing power and still discover the trends after days of data crunching.

Learn how DataStork helped a leading Logistics-Optimization company to scale its analytics. This helped them accommodate more clients and serve faster responses to business critical questions: DataStork-BigData-Case-Study