Follow Datanami:

Tag: dataops

Zaloni Pivots to DataOps

Zaloni once was focused on helping customers to manage data in Hadoop. But under new CEO Susan Cook, the company has broadened its scope and is now aiming to help customers manage the entire supply chain of data, or what Read more…

Demystifying DataOps: What We Need to Know to Leverage It

The term “DataOps” has picked up momentum and is quickly becoming the new buzz word. But we want it to be more than just a buzz word for your company, after reading this article you will have the knowledge to leverag Read more…

Real-Time Data Streaming, Kafka, and Analytics Part One: Data Streaming 101

The terms “real-time data” and “streaming data” are the latest catch phrases being bandied about by almost every data vendor and company. Everyone wants the world to know that they have access to and are using th Read more…

Hitachi Vantara Buys Cataloger Waterline Data

Hitachi Vantara is acquiring data catalog startup Waterline Data as the U.S. subsidiary of the Japanese industrial giant seeks to meet growing demand for automation frameworks for data lake management via its AI-driven D Read more…

It’s Time for MLOps Standards, Cloudera Says

Just as operational standards have been established for data management via DataOps, the industry needs to create open standards for machine learning operations, or MLOps, according to Cloudera, which today unveiled a ca Read more…

Operationalizing Analytics: Conquering the Last Mile

Per research from McKinsey, only 8% of companies successfully scale analytics. To improve this abysmal rate, organizations must conquer what’s been called the last mile of analytics. For those who can, the payoff is tr Read more…

Paving the Way for DataOps

How is your DataOps going? Have you become a bona fide “insights-driven” business yet? Or are you still struggling to implement DataOps effectively across your organization? If you’re like most, it’s probably the Read more…

StreamSets Eases Spark-ETL Pipeline Development

Apache Spark gives developers a powerful tool for creating data pipelines for ETL workflows, but the framework is complex and can be difficult to troubleshoot. StreamSets is aiming to simplify Spark pipeline development Read more…

Giving DevOps Teeth To Crunch Down on AI Ethics Governance

AI ethics is definitely trending. I’ve seen the phrase in my reading and heard it trip from the tongues of professional acquaintances many times in the past several months. Management fads come and go, and I wonder Read more…

Data Pipeline Automation: The Next Step Forward in DataOps

The industry has largely settled on the notion of a data pipeline as a means of encapsulating the engineering work that goes into collecting, transforming, and preparing data for downstream advanced analytics and machine Read more…

Streamsets Gets $35M for DataOps

StreamSets, which bills itself as the "air traffic control" tasked with preventing collisions from occurring with big data, today announced that it raised $35 million, which it will use to continue building its data oper Read more…

Five Ways to Unshackle Data Science from IT Now

If your company is struggling to get value out of its data science initiative, it's not alone. More often than not, an organization will experience growing pains as it figures out how to gain data science competency thro Read more…

DataOps Hiring Surges Thanks to ML, Real-Time Streaming

Nearly three-quarters of companies plan to hire a data operations (DataOps) professional in 2018, according to a new survey commissioned by Nexla, which says investment and interest in machine learning, artificial intell Read more…

MapR Takes Aim at DataOps with Platform 6.0

MapR today unveiled a new release of its converged data platform that's aimed at helping companies use emerging DataOps concepts to go from data science insight to positive business result in a speedy, reliable, and secu Read more…

How to Build a Data-Driven Culture

What drives companies to have a successful data-driven culture? It’s important to understand that it’s not necessarily about the data itself. That’s secondary. The technology itself comes in third. Data-driven deci Read more…

Datanami