Nthinsight | Data Operations and Management

About the service offering

Data operations enables your organization to maximize the business value of your data and its underlying infrastructure. It’s the key to digital transformation initiatives such as cloud migration, DevOps, open-source database adoption and data governance.Whether there is data migration, data avilability or data optimization, the solution is to establish a process to manage the data, increase collaboration and deliver insights at real-time speeds.

Project Scope

Assemble the data

Build a logical model to get 360 view of entire data systems

Centralize the hosting

Bring in data from disparate systems to house in a single holistic data warehouse

Manage data across the enterprise

Tune the cloud migration and optimize for cost

Implement standardized data security policies and controls

Helps with compliance and smooth flow of data without risks

Provision production quality data

Creating test and dev environments before pushing out certified sources

Project goals

Data Operations and management is a growing concept and relatviely new for many organizations.As more and more companies shfit towards cloud, the necessity to maintain the data effectively without any downtime and available as "always-on" is foremost for ensuring a data led culture.

Automated monitoring of data pipeline at ingestion, loading and availability to downstream applications.
Adopt to self service data usage by creating accurate data models.
Establish central "command and control" to ensure attribute level data security
Secure data access and optimize usage.
Keep track of growing data volumes and implement solutions to manage the scale of data growth.

We have DataOps engineers who specialize in creating and implementing the processes that enable teamwork within data organizations. These individuals design the orchestrations that allow work to flow from development to production and ensure that hardware, software, data, and other resources are available on demand.

Final outcome of this project

As there are no DataOps-specific software tools -- only frameworks and related tool sets that support a DataOps approach to collaboration and increased agility, we help you in implementing the framework as it best suits your data needs for successful data driven decision making. These include ETL/ELT tools, data curation and cataloging tools, log analyzers and systems monitors.

Data Pipeline monitoring
Optimize cloud costs for data storage and usage
Creating production ready data models for self service analytics
Design data warehouse for growth, scalability and usage
Create a unified , interoperable hub where the data is certified and ready for consumption across teams

Data Operations and Management framework works towards harmonizing the ease of data use and availability.By ensuring the right process in place, it works towards providing more trustworthy real time insights as well as increasing transparency.