Dealing with data – data lakes, clouds, pipelines, and platforms.
Leading enterprises of today have both business and IT teams collaborating throughout the process: ensuring all right data (internal/external, structured/unstructured) are identified, sourced, cleaned, analyzed, modeled, and decisions implemented – without losing on granularity and value as the data travels this path.
How does Big Data Engineering Benefit you?
Chief Information Officer
CIO’s organizations have to help businesses by building robust capabilities to deal with the volume, velocity, veracity, and variety of data. They have to make this data available for business users to consume – both as traditional marts and warehouses, and new-age big data ecosystems.
Chief Analytics Officer
CAO’s business teams, with the constraint of handling massive data taken care of, now have the opportunity to look at a comprehensive data landscape, derive insights and implement decisions. This significantly increases the business value that can be realized.
Implement Data Lakes
Help lay or augment the enterprise data foundation so a range of analytics solutions can be built on top.
Develop Data Pipelines
Facilitate production grade end-to-end pipeline of data-to-value that takes data solutions from sandbox environments, and rolls them out to end users.
Enable Value Realization
Data engineering enables data science solutions to reduce operational costs, discover new revenue sources, and create new products.
Sales & CRM Data Replatforming From EDW To Hadoop
Cross-Device Mapping To Increase Relevance Of Digital Ads And Command Premium Pricing
Data Lake That Blends 10+ Disparate Data Sources For A 360° Consumer View