What people are saying about us.
What people are saying about us.
"To gauge exactly how big data practices are changing —and how they are not — business intelligence vendor AtScale recently conducted a worldwide survey in cooperation with Cloudera, Hortonworks, MapR, Tableau, Apache Software Foundation and ODPi (a Linux Foundation Project)."
"Business intelligence to Hadoop/big data connection company AtScale has had a front row seat to the evolution of big data in organizations both big and small. Since 2016 the company has released regular research on organizations' big data maturity levels - sort of the state of big data in organizations."
"The survey of 5,600 respondents at 429 companies also found that most organizations think they’re more accomplished at using big data than they really are."
"Industry is rapidly moving to Big Data in the Cloud causing enterprises to struggle with self-service access across their hybrid data lakes"
"With marquee account names now on board such as Toyota and GlaxoSmithKline, the company also has high-profile customers to showcase its offering's capabilities."
"In this release, AtScale is introducing new functionality that allows enterprises to make BI work on the Data Lake in ways that they haven’t been able to do before"
"New release enables enterprises to modernize their analytics approach by migrating to any cloud and optimizing for BI on the Data Lake"
"Anybody that doesn’t have the skills or desire to manage their own data lake is moving to the cloud,” said David Mariani, CEO of AtScale Inc., a company that integrates business intelligence tools with multiple back-end data sources. “Faced with the alternative of having to learn all this stuff or just park it on [Google Cloud’s] […]"
"In the modern world of data lakes, CDOs and CIOs will face three major challenges: how to migrate their users, how to live with a hybrid infrastructure for a while and how to future-proof their data platform"
"Is something wrong with the way the data and analytics industry is maturing? We don’t believe so, however, we’d advise you to learn how to read Gartner reports."
"Fortune 100 companies embrace AtScale’s approach as self-service, Big Data and the Cloud collide; 2018 promises to be a breakout year for AtScale and the Business Intelligence industry"
"Agile, proactive and contextually aware, this cutting-edge organization takes advantage of the many recent innovations that have redefined the business world. Analytics, big data and cloud computing have coalesced to digitally transform practically every business process."
"Ebates, the business that provides discounts and incentives to customers of online retailers, needed to move from its SQL server to a system with more processing capacity. The Hadoop cluster it chose fit the bill and provided some unexpected benefits."
"Award program recognizes leading enterprises that achieved exceptional productivity levels by modernizing their Big Data Analytics environment"
" Bowes to bring Big Data expertise from Oracle, Cloudera and SAP/Sybase to help AtScale’s growing list of enterprise customers move to the next level"
"As customers are maturing in their use of AtScale, they need help to visualize the solutions [and] build their big data strategy,” Bowes said of the role of the channel. “So part of my charter is also to make partners successful. There’s a big channel component in this role."
"2018 will unleash a major disruption for the analytics and data management space. It will upend decades worth of accepted practices and introduce new winners and losers. At the center of the storm is the public cloud and the many implications it will have for big data."
"As you start embarking on the “all cloud” journey, beware of the “lock-in”. Not every cloud is created equal."
"Data-driven means that you add data to the expertise you already have. We need to be augmenting what we’re already doing well, not replacing anything."
"AI is the natural evolution of the investment that companies have made in Big Data and analytics, and in 2018, companies will need to ensure that they have a strong analytics foundation in order to prepare for AI."