DataOps is a discipline focused on the delivery of data faster, better, and cheaper to derive business value quickly.

It closely follows the best practices of DevOps although the implementation of DataOps to data is nothing like DevOps to code. This paper will focus on providing a prescriptive approach in implementing a data pipeline using a DataOps discipline for data practitioners.

Data is unique in many respects, such as data quality, which is key in a data monetization strategy. Data governance is necessary in the enforcement of Data Privacy. Automation and orchestration in an interoperable hybrid cloud distributed data landscape is where DataOps excels. Whether an Artificial Intelligence, Machine Learning or Business Intelligence use case, all of them depend on governed, high-quality data delivered quickly. This “How and Why to DataOps” paper provides a prescriptive approach toward implementing a data pipeline using a DataOps discipline for data practitioners. It also serves as a point of reference for business executives that wish to understand the level of effort and scope for a DataOps based organization.

Download the “How and Why To DataOps” paper.

For a more in-depth introduction to DataOps, refer to the DataOps flipbook.

Authors: Sonia Mezzetta, Patrick O’Sullivan, Anandakumaran Suthanthirabalan, Christopher Grote, Karina Kervin, Rajesh Yerragunta, Aishwarya Bhupatiraju, Sukumar Beri, Sunny Anand, Mohammed Abdul Qadeer Moini, Jo A. Ramos

 

 

 


The opinions expressed in this post and the document are those of the authors and not necessarily of IBM.

Was this article helpful?
YesNo

More from Cloud

How a US bank modernized its mainframe applications with IBM Consulting and Microsoft Azure

9 min read - As organizations strive to stay ahead of the curve in today's fast-paced digital landscape, mainframe application modernization has emerged as a critical component of any digital transformation strategy. In this blog, we'll discuss the example of a US bank which embarked on a journey to modernize its mainframe applications. This strategic project has helped it to transform into a more modern, flexible and agile business. In looking at the ways in which it approached the problem, you’ll gain insights into…

The power of the mainframe and cloud-native applications 

4 min read - Mainframe modernization refers to the process of transforming legacy mainframe systems, applications and infrastructure to align with modern technology and business standards. This process unlocks the power of mainframe systems, enabling organizations to use their existing investments in mainframe technology and capitalize on the benefits of modernization. By modernizing mainframe systems, organizations can improve agility, increase efficiency, reduce costs, and enhance customer experience.  Mainframe modernization empowers organizations to harness the latest technologies and tools, such as cloud computing, artificial intelligence,…

Modernize your mainframe applications with Azure

4 min read - Mainframes continue to play a vital role in many businesses' core operations. According to new research from IBM's Institute for Business Value, a significant 7 out of 10 IT executives believe that mainframe-based applications are crucial to their business and technology strategies. However, the rapid pace of digital transformation is forcing companies to modernize across their IT landscape, and as the pace of innovation continuously accelerates, organizations must react and adapt to these changes or risk being left behind. Mainframe…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters