Sunday, February 5, 2023

Efficient DataOps strategies in 2023

By Nikhil Sonawane - December 05, 2022 4 Mins Read

The global data sphere is growing bigger and more complex, which has made it a daunting task for data teams to gather, process, and manage data through all channels. A few businesses have successfully embraced the DataOps method to improve end-to-end data management processes.

Combining data and operations has enabled businesses to have efficient processes despite of chaos and context of modern data challenges. CDOs now can have effective strategies and data governance policies to effectively utilize data without compromising on security.

Here are a few best DataOps trends that CDOs should be conscious of in 2023, to improve their business operations:

Also Read: Cloud Computing Trends That Will Dominate in 2023

Embrace data fabric systems

CDOs today should consider designing and integrating data fabric systems into their tech stack to streamline the integration of multiple data pipelines and cloud ecosystems by leveraging intelligent automated systems.

There is a surge in the developments and deployments of hybrid cloud, the Internet of Things (IoT), Artificial Intelligence (AI), and edge computing throughout all businesses worldwide. As a result, the adoption of big data across all industries has increased exponentially.

To rein in the enterprise data, DataOps must have a holistic view. The idea of a data fabric is to create a single pane of glass across all the data in our environment. A fabric stitched across all data is necessary because the silos aren’t going away. Implementing a data fabric means establishing a metadata-driven architecture capable of delivering integrated, enriched data to data consumers,” said Radhika Krishnan, chief product officer at Hitachi Vantara.

Integrating data fabric systems will offer businesses a centralized solution that enables them to set stringent governance policies that help them to overcome all the data silos. Data fabrics will unify the data from different systems and enforce governance and privacy measures to offer more data accessibility to the entire workforce and all the users. Enterprises that integrate data through the data fabrics framework will be enabled to get a holistic view of their data throughout all the channels, and make data-driven decisions.

Identify the data leaks

A few DataOps teams are developing robust data pipelines to enhance the business value, while others still find it challenging to deploy these pipelines efficiently. There is no one-size-fits-all policy that businesses can leverage to increase the efficiency of the process. Data management teams need to load the data into the current data lakes and explore ways to identify, filter, cleanse and utilize relevant data sets. IT teams need to back up the data as high-priority operational requests so that they can keep the resources free to accomplish their work with a defined path to completion.

Also Read: Busting Three Key Fallacies About Multi-Cloud Computing

DataOps Digital transformation

Modern enterprises need a holistic approach to evaluate the data gathered from all the channels to get actionable insights to scale the business operations. CDOs should consider focusing on upgrading their tech stack with effective tools to enrich their data processing capabilities.

Radhika Krishnan

There is a potential possibility that few enterprises have not completely understood the true value of DataOps, which leads to fewer budgets sanctioned for the task. CDOs and CFOs should work cohesively to understand the need for the transformation of the data tech stack and sanction the budgets accordingly to improve the team’s capabilities. Modern data tech stack should be able to democratize data without compromising on security. Moreover, CDOs need to ensure they have robust data analytics tools with Artificial Intelligence (AI) and Machine learning (ML) capabilities to efficiently evaluate data to gain valuable insights.

Embracing data fabrics framework, modernizing the data tech stack, and identifying data leaks are the top three trends that DataOps should consider embracing in 2023.

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AUTHOR

Nikhil Sonawane

Nikhil S is a Tech Journalist with OnDot Media. He is a media professional with eclectic experience in communications for various technology media brands. He brings his eye for editorial detail and keen sense of language skills to every article he writes.

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