News

2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an exciting ride. Enjoy!

Here is last part in our 2021 Predictions series – the predictions from the industry. We received many submissions, and to keep this article size manageable, we limited this to 12 companies: Alluxio, Alteryx, Diamanti, Dremio, Indicative, Lexalytics, Luminoso, MathWorks, MobiDev, Qlik, SAS, and Splice Machine.

Data management and integration demands continue to increase as organizations are faced with more data flowing in from a greater variety sources than ever before. At the same time, there is the need to extract business value, protect, and offer wider access to that data for more users. Today, being data-driven is the goal of all companies, whether long established or born digital.

As part of the second annual Solutions Review #BIInsightJam, we called for the industry’s best and brightest to share their data science and analytics predictions for 2021. The experts featured here represent the top data science and analytics solution providers with experience in this niche. Data science and analytics predictions have been vetted for relevance and ability to add business value as well. These are the 31 best predictions from the dozens we received. We believe these are actionable and may impact a number of verticals, regions, and organization sizes.

Data integration tools vendors are increasingly being disrupted by cloud connectivity, self-service, and the encroachment of data management functionality. As data volumes grow, we expect to see a continued push by providers in this space to adopt core capabilities of horizontal technology sectors. Organizations are keen on adopting these changes as well, and continue to allocate resources toward the providers that can not only connect data lakes and Hadoop to their analytic frameworks, but cleanse, prepare, and govern data.

Businesses and organizations today are turning to next-generation big data software and services startups to help them identify, integrate, prepare and manage the huge volumes of data they need for business analytics, digital transformation and other initiatives. Here’s a look at 10 startups that offer ground-breaking technology that help solution providers and their customers meet their big data challenges.

Alluxio, Inc. announced the Alluxio V2.4.0. It focuses on features critical to large scale, production deployments in cloud and hybrid cloud environments. Features such as scalable metadata journaling, aggregate cluster metrics monitoring, and automated detection of JVM pauses further improve the company’s suitability for demanding workloads. Devops tools are also key for triaging issues when they occur.

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.insideBIGDATA Latest News – 11/10/2020

The prospect of managing data across the data center and public cloud platforms can be daunting to enterprises. There are concerns about hybrid latency affecting analytic workloads and many companies can’t store data in a public cloud due to a variety of legal and regulatory concerns. However, the cloud offers flexibility, elasticity, and scalability benefits that are hard to beat, making migration of at least some workloads highly desirable.