Data and Analytics

Big Data

Big Data

With growing needs of analyzing vast scales of data, Big Data Engineering services have emerged as a separate stream along with Data Science. While Data Science deals with generating insights from data, Data Engineering deals with managing and preparing the data for business analysis.

Traditional ETLs, Databases and statistical models couldn’t handle data volumes. Along with volume, there is an increasing need for analytics on variety of data, real-time data and quality of data. This has triggered the need for Big Data platforms and Data Engineering for Big Data.

Big Data Solutions

At UpstreamGlobal Services, we leverage our end-to-end Big Data consulting services and Advanced Analytics solutions delivery expertise, to be the ideal Big Data service provider that will help meet your business objectives, time-to-market and TCO objectives.

Equipped with a combination of Big Data Technology expertise, rich delivery experience and a highly capable workforce, oursoftware can provide a wide portfolio of Big Data services to its clients.These services will enable our clients to move forward with the Big Data & business analysis roadmap and derive actionable insights, to make quicker and learned decisions.

These services are not only around Big Data but also on traditional platforms like enterprise data warehouse, BI, etc. Our software has in its arsenal a well thought out reference architecture for Big Data Solutions which is flexible, scalable, and robust.

There are standard frameworks that will be in use while executing these services. These services are provided on all Big Data tools & technologies. High level services include consulting, implementation, on-going maintenance & managed services.

Big Data Tools & Technology

  • Hadoop (HDFS, Map Reduce, Flume/Sqoop, Hive/PIG, Hbase/HCatalog)
  • Cloudera
  • Hortonworks
  • Amazon WebServices
  • Kafka
  • Python
  • Splunk