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DataOps
More organizations are starting to adopt DataOps best practices to manage their data. DataOps is emerging as a major factor in the quest to improve confidence in business decisions based on higher-quality ...
Cisco Unveils 800G Networking Platform to Advance DataOps
At the Open Compute Project (OCP) Global Summit conference, Cisco announced it developed an 800-gigabit switch that consumes significantly less power than the previous generation of its networking equipment. Thomas Scheibe, vice ...
5 Ways to Transform DataOps With Human-in-the-Loop Automation
We are in the middle of a data renaissance. Today, it’s not just about data instrumentation but also learning how to make DataOps a real business advantage for the entire organization. Data ...
Apache Hop Integrates DevOps and DataOps – Techstrong TV
Matt Caster, chief solution architect for Neo4j, explains how open source Apache Hop projects advances integration of DevOps and DataOps. The video is below followed by a transcript of the conversation. Mike ...
Where DataOps and Opportunities Converge
In today’s data age, getting data analytics right is more essential than ever. A robust data analytics implementation enables businesses to hit key performance metrics, build data and AI-driven customer experiences (think ...
EP 29: Bringing Data Integrity to DataOps – DevOps Unbound
In DevOps, we frequently use a variety of tools to help manage the entire software development lifecycle. But with an immense amount of data coming from so many different sources, this introduces ...
What is MLOps? DataOps? And Why do They Matter?
Let's look at three distinct disciplines—DevOps, MLOps and DataOps. In 2011, Marc Andreessen famously proclaimed that software was “eating the world.” A little more than a decade later, it’s all but impossible to ...
Why DataOps is Critical for Digital Transformation
Data lies at the heart of all digital transformation. In fact, today, as organizations look to further accelerate their ongoing digital transformation initiatives, companies are looking to extract even more value from ...
DataOps: How to Turn Data into Actionable Insights
Enterprises have struggled to collaborate well around their data, which can impact everything from digital transformation to advanced concepts like AI and ML. DataOps is not without challenges; building, managing and scaling ...
DataOps Vs. DevOps: What’s the Difference?
There is a mindboggling amount of data today; to even measure it requires using a byte measurement called a zettabyte, which is one sextillion bytes (that’s 21 zeros). Currently, because such a ...
Rivery Raises $16M Series A Funding to Expand SaaS DataOps Platform
Rivery will use funding to scale its DataOps solution, including data ingestion, orchestration and transformation capabilities. New York, 30th March 2021 - Rivery, the DataOps Platform raised $16M in a new financing round led by ...
Open Source Vs. Proprietary DataOps
Core DataOps concepts are making their way into data engineering teams and, from there, into the broader enterprise. Data engineers are retooling how they create data products, and much of this work ...