Tag: dataops
DataOps.live Introduces New AIOps Capabilities Powered by Snowflake Cortex and AWS Bedrock
DataOps.live, a London-based startup specializing in streamlining data operations with real-time management and collaboration tools, announced last week the immediate availability of its AIOps capabilities to further enh Read more…
How Radical Simplification in Data Can Lead to Radical Innovation
With ChatGPT in the hands of everyday users, AI technology is poised to realize its potential in revolutionizing the digital landscape. Combining the evolving consumer demands with this explosion of technological advance Read more…
DataOps.Live: The Data Product Assembly Line for Snowflake
When it comes to building great data products, all the key ingredients are available in the cloud--big data, massive compute, and sophisticated analytics and AI tools. What’s missing is an easy way to turn all those in Read more…
Unlock Your Data Initiatives with DataOps
Across every industry, companies continue to put increased focus on gathering data and finding innovative ways to garner actionable insights. Organizations are willing to invest significant time and money to make that ha Read more…
ClearML Announces General Availability for Enterprise
ClearML, a unified MLOps platform, has announced the general availability of ClearML for enterprise customers. The platform was previously offered as invite-only to a select group of customers but is now broadly avail Read more…
Unravel Data Aims to Straighten Out The Data Stack with $50M Series D
The enterprise data stack continues to grow in complexity with a sometimes overwhelming number of tools, systems, and data pipelines to manage and optimize. When you factor in the shift to the cloud, managing compute and Read more…
How DataOps Strengthens Business Resilience and Agility
Agility is critical for any business looking to grow and remain relevant in today’s complicated industry landscape. Being able to quickly respond and reliably deliver actionable insights is vital for businesses — esp Read more…
Why DataOps-Centered Engineering is the Future of Data
DataOps will soon become integral to data engineering, influencing the future of data. Many organizations today still struggle to harness data and analytics to gain actionable insights. By centering DataOps in their proc Read more…
Apache DolphinScheduler Raises Nearly $10M Angel Financing
DataOps platform Apache DolphinScheduler announced it has recently raised nearly $10 million in angel round financing. The Beijing-based company plans to use the funds for R&D in MLOps and data synchronization techno Read more…
Building Continuous Data Observability at the Infrastructure Layer
Data is the lifeblood of business today, but getting it where it needs to go is hard, especially as data volumes grow. Data pipelines become the repeatable method for moving this digital crude, but monitoring the flows f Read more…
Software AG to Acquire StreamSets
Veteran German enterprise software company Software AG — coming up on its 55th anniversary — is bringing another company into its fold: San Francisco-based StreamSets, which has been offering an enterprise-grade data Read more…
Leaky Pipelines and the Business Case for Data DevOps
As enterprises embrace digital transformation and migrate critical infrastructure and applications to the cloud as a key component of those efforts, what can be called “data clouds” have started to take shape. Built Read more…
Top Trends for Business Analytics for the Rest of 2021
Data powers business. Organizations rely on it to remain successful and competitive, but they have traditionally performed analysis on huge volumes of historical data to make critical decisions. The impact of the Covid-1 Read more…
In Search of the Modern Data Stack
The modern data stack is many things to many people. It’s multi-cloud! It’s the data mesh! It’s BI plus AI! To get a better visibility into just what the modern data stack is, how it’s evolving, and why it all ma Read more…
Why Every Enterprise Needs a Data Fabric & DataOps to Solve Their Data Management Woes
Sponsored Content by Hitachi Vantara
Enterprises today want to have real-time business insights into what’s happening to take actions that ultimately increase operational efficiencies, improve customer engagement, and grow revenue. However, the promise of Read more…
Hands-Off: Manual Data Integration Tasks Plummeting, Gartner Says
While the need to integrate data has never been greater, the addition of machine learning and other forms of automation is driving a large reduction in the amount of manual data management tasks that human workers are re Read more…
Master Data Management: Three Paths to Creating a Successful, Low-Risk Program
The biggest danger to a nascent master data management (MDM) program is starting with the wrong objectives, even though they can often sound quite right. While well-intentioned, unclear business objectives--such as creat Read more…
Bridging the Gaps in Edge Computing
Aside from the lure of the public clouds, which got bigger and stronger in 2020 amid the COVID-19 scourge, the world of data and analytics became a lot more distributed last year. While it seems clear that most AI models Read more…
In Search of Data Observability
The concept of “observability” is well understood as it pertains to DevOps and site reliability engineering (SRE). But what does it mean in the context of data? According to Barr Moses, the CEO of data observability Read more…
A ‘Glut’ of Innovation Spotted in Data Science and ML Platforms
These are heady days in data science and machine learning (DSML) according to Gartner, which identified a “glut” of innovation occurring in the market for DSML platforms. From established companies chasing AutoML or Read more…
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