From Big Data Pools
To Live Streaming Insights

Course5’s Big Data Engineering services enable organizations for data transition, business decision making, and leveraging of AI. Data transition is in different phases: Data at Rest, Data in Motion, Data in Process, and Data in Consumption. Course5 has helped clients integrate and organize large volumes of structured and unstructured data. This includes transaction data, organization data (finance, marketing, product, customer, employees, etc.), log files, system-generated data, primary and secondary research data, web data and social media data (text, image, video, and speech). Big Data Engineering helps businesses better align their Artificial Intelligence strategy with business objectives and respond faster to threats and opportunities.

The Course5 methodology is technology agnostic. We offer data management and transformation expertise in traditional, new generation, proprietary, and open source platforms, both on premise and on cloud.

Big data engineering-overview

OUR
CAPABILITIES

ENGINEERING ON ANY TYPE OF INFRASTRUCTURE

Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), or on Premise

TECHNOLOGY AGNOSTIC APPROACH

Capabilities across the data tech stack to enable ingestion through transformation and consumption

HOLISTIC DATA MANAGEMENT

Data practices and solutions across different data stages (Rest, In Motion, In Process, and Consumption)

BUSINESS APPROACH TO DATA ENGINEERING

Focus on maximizing business outcomes from data rather than creating a data dump

DATA GOVERNANCE PRACTICES

Industry best practices and approaches around metadata, data quality, and data security

INDUSTRY DOMAIN RELEVANCE

Industry specific approach to data engineering and practices for efficient information management

Our
Accelerators

Pre-built data connectors to most industry recognized platforms and technologies, enabling quick data integration at scale

 NLP and Smart Bot Framework

Computer vision framework

Industry tested strategy framework for managing information across organizational needs

In-house COE with capabilities for rapid deployments

Advanced AI bots

BUSINESS
IMPACT

  • Faster time to market with effective information management practices
  • Faster response to opportunities and threats
  • Enhanced ROI on Artificial Intelligence initiatives
  • Cost effective alternatives to further in-house investments in data warehousing and data mart infrastructure
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