A mix of open source foundations and commercial adoption, the strategy adopted by Databricks for Delta Lake could set Delta Lake on its way to becoming a standard for storing data on the cloud
A need for dedicated storage systems, an increase in advanced analytics, and the growing need for low-latency, real-time analytics on operational data are all driving demand.
Databricks, the big data analytics service founded by the original developers of Apache Spark, today announced that it is bringing its Delta Lake open-source project for building data lakes to the Linux Foundation and under an open governance model. The company announced the launch of Delta Lake earlier this year and even though it’s still a relatively new project, it has already been adopted by many organizations and has found backing from companies like Intel, Alibaba and Booz Allen Hamilton.
Subscription has been all the rage in media circles as the industry searches for new, sustainable business models. We’ve seen companies from infrastructure plays like Substack and Pico to brand verticals like Holloway and The Athletic receive venture funding, all with the goal of changing the economics of news, information and entertainment.
Every day, I get the fortune of talking with founders about their startups and writing about them on TechCrunch, but I’ve also been something of an intrapreneur myself, building out product in the form of TechCrunch’s membership service Extra Crunch as EC’s executive editor over the past two years.
From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. For current and future software development companies that want to be knowledgeable about using data and analysis, a few big data skillsets will help give them leverage in the coming year.
Regardless of if you’re a data science professional or an IT department who wants to help your company have more successful data science projects, it’s essential to have some data science tools under your belt to avail of when needed.
Here are some open-source options to consider.
Ludwig is a tool that allows people to build data-based deep learning models to make predictions.
There are a lot of ways that organizations can leverage big data. Most of them don’t have difficulty collecting the data they need to make more informed decisions. However, they often struggle to conceptualize the data and present it in a format that supports their conclusions. This is one of the areas where a business dashboard can be useful.
Big data has made business dashboards possible.
The enterprise software giant brings SAP HANA Cloud and SAP Data Warehouse Cloud to GA.
Gone are the days when banking was time taking and full of unnecessary hassles. It’s the time when you can perform several significant actions through your smartphone. We are looking at a change in the healthcare and banking industry. Technological disruption has impacted most business domains. Here is how technology is revolutionizing the banking sector with next-level mobile apps.
The exponential growth in the number of mobile users in the past few years has gradually led to the increasing popularity of mobile banking apps.
Agency awards grant to facility to serve as a data management and coordinating center for the Rare Diseases Clinical Research Network.