Data Management and Cloud

Unleash the Power of your data with the Cloud

Extracting, Transforming, and Standardizing vast amounts of your data in order to harness its full potential allowing you to make the right business decisions.

Data is the new Oil

“Data management consumes 80% of the effort spent in analytics“ Businesses often fail to harness the power of data because it is collected and stored in various sources. Further, lack of standardization in data makes analysis a more challenging task. Are you facing this problem? Our team specializes in data integration and ETL (Extract, Transform and Load) and has successfully solved this problem across industries like Media & Communications, Insurance and Healthcare.

Our services include

  • Database & Data warehouse
  • ETL
  • Big Data
  • Cloud

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Data warehouses

Data warehouses are used to store large quantities of historical data and enable fast, complex queries across all the data, typically using Online Analytical Processing (OLAP). We predominantly use data warehouses like Oracle and Google BigQuery.

ETL

In Extract, Transform and Load (ETL), extraction is performed to get data from heterogeneous source systems to the target system, which is typically a cloud-based data warehouse, for BI purposes.

Some of the trends we achieve using ETL are

  • Data Quality
  • Data Harmonization
  • Data Infrastructure Setup
  • Data Lake (On-Prem, Cloud, Hybrid) and more

Big data

We use Hadoop technologies to build Data Lakes with highly sophisticated and consolidated data platform for the downstream applications.

Hadoop Technology Stack

Data Acquisition - Kafka, Flume, Sqoop

Data Reconciliation - Spark, Hive, Impala

Data Lake - HDFS, Mapreduce

Data Consumption – Tableau, Hive, Business Objects

Cloud

Cloud-based data warehouse providers such as AWS and Microsoft Azure enable us to orchestrate a network of remote servers and computing resources in the cloud to provide data warehousing functionality.

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Case Studies

Case Studies