Can data drive itself? Cars, trains, even ships can these days, so why not data? The truth is: Yes, autonomous data management has arrived. It may be relatively rudimentary at the moment, but we’re really getting somewhere! And once organizations get this process rolling, it will save tremendous amounts of time and effort, while also improving quality!
Two recent surveys conducted by CFO Research in conjunction with Vistra found that 92% of multi-national corporations ($100 million-plus) with plans for acquisitions and takeovers before the pandemic are pushing ahead with those plans, despite continued volatility in the global economy. As they enter a new phase of global business, the research found, organizations are aware of the need to overcome evolving hurdles, including turbulence stemming from the public health and economic crises, as well as difficulties related to supply chains, evolving global mobility requirements, and tightening regulations.
The present global crisis has bolstered cries for cost-cutting across organizations. Data lakes spanning from on-premises environments to a public cloud platform have continued to evolve, frequently striving to keep the infrastructure and operational costs low while providing business agility.
Alluxio claims that its data orchestration platform is able to solve the challenges that have come out of decoupled architectures in modern workloads. With the rise of compute intensive workloads and cloud adoption, enterprises must be able to scale compute independently from storage.
With so much data to store and analyze, no wonder hybrid cloud solutions are gaining favor. Haoyuan (H.Y.) Li, the founder and CEO of Alluxio, offers his perspective and best practices.
Database Trends and Applications recently released its DBTA 100 2020, an annual listing of data, information management, big data, and data science companies that are preparing for the future. The list spans the spectrum of both “well-established and cutting edge” solution providers offering data platforms, tools and technologies to organizations around the globe. Some of the vendor entries are published alongside View From the Top articles which are penned by executives from the companies themselves.
Data is growing by leaps and bounds, the convergence of extremely large data sets both structured and unstructured define Big Data. The increasing awareness of the Internet of Things (IoT) devices among organizations and volume, variety, velocity and veracity at which data is generated have caught the attention of the enterprise in a bid to enhance digital technologies and guide digital transformation.
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!
Alluxio, the developer of open source cloud data orchestration software, today announced it has been named a “Gold Stevie® Winner” in the Big Data Solution category in The 18th Annual American Business Awards® and to the DBTA 100 2020: “The Companies That Matter Most in Data” list.