Services - Enterprise Business Application

Big Data

The exponential growth in data, driven by proliferation of devices, new ways of data creation and consumption is changing the way businesses operate and compete. The volume and variety of data that organizations need to analyze is also changing drastically. Gaining insights from this data requires effective aggregation, validation and integration techniques. This goes well beyond the mere change of a technology landscape to include processes, methodologies and workflows aimed at generating key insights that enable businesses with intelligence to strategize like never before.

At ATEM Corp., we have the strong capability to design, develop and implement Big Data Solutions across various domains using industry’s leading technology applications, processes and methodologies. Our clients are enabled with key business drivers and the ability to identify actionable intelligence in order to strategize, maximize revenues and achieve operational efficiency.

Our capabilities include.

Managing Huge Volumes of Data

Designing high performance data structures and choosing right technologies plays a critical role in storing and retrieving of high volume of data. Also, different types of data and volatility of data impacts the design principles of data storage. We have experienced professionals to design and implement

  • Datawarehouses
  • Data Migration
  • Data Integration
  • Data Lake
  • Web Crawling / Web Scrapping
  • Tools :
  • Hadoop / HBase / MongoDB / Spark
  • RDBMS – Oracle, SQL Server, MySQL etc.,
  • ETL – Informatica, SSIS
  • Oozie, Sqoop
  • Apache Nutch / Scrapy

Business Intelligence / Analytics

Creating Insights from the huge data collection measures the success factor of the Big Data Investments. Our professionals have developed the art of creating rich dashboards and KPIs along with mathematical and scientific skills which will benefit business to explore the data quite easily. Our art of analytical skills includes.

  • Data Visualization
  • Machine Learning / Data Mining
  • Predictive Analytics
  • Tools :
  • R
  • SparkML
  • Python
  • IBM Cognos