Tag: big data

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 ...

Out of the Silo: Big Data and DevOps Meet in the Middle
Given the myriad benefits they provide, it seems crazy that big data and DevOps have been implemented independent of each other If you have been working from home during the recent lockdowns, ...

Building Your Own AIOps Platform Is a Bad Idea
It takes considerable expertise to not only build, integrate and maintain an AIOps platform In the wake of the economic downturn brought on by the COVID-19 pandemic, investments in digital business transformation ...

Logz.io Launches COVID-19 Dashboard
Logz.io this week launched a Community COVID-19 Dashboard Project that seeks to provide software developers and data scientists a reliable source of data to assess the global impact of the pandemic. Dotan ...

DataOps and Beyond: How DevOps Methodology Transformed Our Approach to Data Science
The DevOps methodology has become synonymous with forward technical thinking–a workplace culture that reinforces best cultural practice and promotes more, better quality output by synchronizing the functions of development and operations teams ...

Enterprise AI Books to Read This Spring
If you are anything like me, and curious about how new enterprise tools will transform our relationship with work and business-technology, then you are probably reading a lot about artificial intelligence. There’s ...

Why Enterprise Survival Depends on a Context Driven Approach to Data
Enterprises are sitting on an enormous amount of data that could be fueling their automation journey. Much of the information needed to run a business is existing data. However, much of an ...

Stellus Launches Next Generation NAS Platform
Stellus Technologies launched a network-attached storage (NAS) system capable of processing unstructured data at 10 times the speed of existing systems. Based on a software-defined file system written on top of a ...

AIOps: The Path to Greater Resilience and Uptime
Large organizations with complex IT infrastructures are facing a significant challenge when it comes to data. The complexity is such that many IT operations teams are struggling to detect, or predict, the ...

CAP Theorem No Match for Mainframes
One of the biggest problems in modern distributed computing is data management. These days data are spread out all over the place. As a result, getting the data you need, exactly when ...

Application Performance Management for DataOps
Over the years, application performance management (APM) tools have been utilized typically to measure and monitor the performance of software such as web applications. They do so by tracking such things as ...

Adobe Strategy Revolves Around DevOps
At the Adobe Summit 2019 conference this week, Adobe detailed that its Adobe Experience Cloud customer experience ecosystem is reliant on a set of best DevOps processes that is wrapped around a ...