Enterprise Data Management needs a tectonic shift from the conventional ‘Engineering-driven’ approach to a modern ‘Business-driven’ approach
In the rapidly transforming Data landscape, organizations need to focus on the following aspects:
01. Conversion of the enormous organizational data into actionable Insights that are available/accessible to all the decision makers and data users (business & analysts).
02. Avoiding critical bottlenecks in delivery of data analytics, that emerge due to data volumes, types and hybrid data landscapes (cloud + on-prem) that are typically managed in silos with different tools, tech stacks and approaches.
03. Minimizing management complexity and cost of data platforms developed as handcrafted, non-repeatable processes using conventional data engineering approach.
e-Zest empowers organizations by building and managing their data needs as DataOps landscapes. We establish DataOps as a No-Code, Configuration based, Self-Service solution enabling organizations to manage their Enterprise Data Warehouse needs in form of high-throughput, low-latency, reusable and extremely easy to manage data pipelines.
e-Zest DataOps Services aim to reduce the Data Engineering efforts of organizations significantly, thus substantially driving down their overall Data Engineering costs.
e-Zest also offers DataOps solutioning services via eZeDataOps, a DataOps accelerator that encapsulates all of the following DataOps activities in one, secure, downloadable software:
Modernize your Enterprise Data Management by moving from an ‘Engineering-driven’ approach to a ‘Business-Driven’ one using DataOps at e-Zest!
e-Zest is a leading digital innovation partner for enterprises and technology companies that utilizes emerging technologies for creating engaging customers experiences. Being a customer-focused and technology-driven company, it always helps clients in crafting holistic business value for their software development efforts. It offers software development and consulting services for cloud computing, enterprise mobility, big data and analytics, user experience and digital commerce.