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  DataOps is an evolving approach to managing data. What if you had a streamlined technique like DevOps for data processing and management?  Thankfully, there is! DataOps framework .  DataOps, short for “data operations”, is an automated, process-oriented methodology to improve the quality and reduce the end-to-end cycle time of data analytics. Analytics and data teams are increasingly using the DataOps framework to produce high-quality data faster.  This article will discuss 5 ways to create a successful DataOps Framework. 5 Ways To Create A Successful DataOps Framework Embrace The Data Literacy Culture Data-driven results give you a competitive advantage. But before you start leveraging data, you’ll need to understand what types of datasets already exist within your organisation and how they are processed and utilised. This process is known as an audit.  An audit enables you to determine an organisational benchmark of current data use and provides an opportunity to enhance data proce

  Increasingly sophisticated and ever-evolving cyber threats require advanced security integrations. The enhanced security should be embedded across phases and elements of application development.  This imperative requirement for security integration in every step paved the way for a new DevSecOps environment . DevSecOps is an evolved variation of DevOps with an added security feature.  So, what exactly is DevSecOps? Understanding The Concept Of DevSecOps Previously, security checks and quality analyses were performed at the final stages of SDLC. This resulted in long, complex iterations.  As a result, the cost of app development also increased. In fact, several accumulated security issues that were discovered only until the final stages of the delivery cycle delayed-release timelines and pushed back time to market.  DevSecOps focuses on creating active collaboration among IT security, application development, and business operations teams. DevSecOPs make it mandatory to inject securit

  With data becoming the backbone of any industry, managing overwhelming volumes of data, intricate data processes and adhering to data compliance protocols has now emerged as a challenge.  Enter DataOps!  DataOps focuses on fostering collaboration between your data analysts and engineers, tools teams and operations to support a model of a truly data-driven organisation.  Are you planning to implement DataOps principles with your organisational workflow? Want to understand the scope of Data Ops in depth for better integration? You’ve just landed at the right place! In this article, we’ll discuss the role, importance and best practices related to DataOps.  Regardless of the industry or DataOps principles you adopt, ensure hiring an experienced DataOps company for optimal outcomes. Understanding The Concept Of DataOps Framework  Many misconceptions have painted DataOps as a magical tool that can vanish all your data problems. Or that the DataOps approach is a replica of DevOps but for d