Big Data

Big Data

Overview:

Big Data is a growing reality. The ability to manage and leverage this data is emerging as a key source of growth, efficiency, and competitive differentiation. It offers opportunities to uncover new insights and make better-informed decisions. Companies that effectively manage and leverage Big Data stand to outperform and outcompete competitors.

This includes social media data, streaming data, machine-to-machine data, sensor data, log data, XML files emails, texts, pictures, videos, and audio. It's a bit intimidating when you consider that the tools and technologies that have effectively transformed structured data into business intelligence simply don't work when it comes to unstructured data. However, while Big Data holds tremendous value, getting to that value can be a challenging proposition. Big Data requires a different approach as it is characterized by high volume, high variety and high velocity. The underlying technologies required for Big Data projects are different from the technologies associated with traditional Data Warehousing, and Business Intelligence (DW-BI solutions).

Services:

As a specialist DW-BI services provider with offerings across the DW-BI spectrum, we have considerable experience in handling projects with high complexity and large data volumes. Leveraging this expertise and experience, we offer comprehensive and cost effective solutions to acquire, organize, and maximize value from your Big Data.

We understand that while Big Data requires a different approach when it comes to storage, network, database technology, analytics, and reporting, it is essentially not a replacement but an enhancement to existing DW-BI systems. Our approach to Big Data involves expanding the capabilities of the data warehouse by adding Hadoop, Hive, Mapreduce, and other industry leading packages and cutting-edge predictive analytics solutions.

Big Data requires a different approach when it comes to storage, network, database technology, analytics, and reporting, it is essentially not a replacement but an enhancement to existing traditional DW-BI systems. As a result, our approach to Big Data involves expanding the capabilities of the data warehouse by adding Hadoop, Hive, Mapreduce, and other industry leading packages and cutting-edge predictive analytics solutions. Our Big Data technology stack consists of frameworks, tools and solution accelerators for Data Acquisition, Data Consolidation, Data Models, Data Analysis and Data Presentation.

Design and Development Services:

  • Infrastructure Design and Capacity Planning
  • Big Data Technology and Tool Selection
  • Data Architecture and Modeling
  • Data Integration
  • Data Conversion & Migration
  • Big Data Solution Testing
  • Big Data Solution Implementation and Integration