Google Cloud Partner of the Year Five-Time Microsoft Hosting Partner of the Year Power your advantage Discover related technology platforms and solutions to help you achieve smarter business outcomes. Platform AWS Data Maximize the value of your data and the power of AWS cloud with the experience ...
The goal of this systematic review is to provide insight into the current state of cloud computing and big data research. We find that challenges have been gaining momentum in this area from 2008 to 2013. In this study, using a systematic review framework, 129 publications are evaluated. We ...
Migrating analytics workloads often means migrating data models that may not translate well for cloud-based data warehouses. I hear from customers all the time that they assumed that the cloud platforms would be faster than their current on-premise technologies. Often, that is not the case ...
These cloud platforms make data more accessible for all stakeholders while also keeping all your important information safe and secure. One other skill worth mentioning is the ability to work with application programming interfaces (APIs). APIs enable multiple software applications to communicate back ...
Data Virtualization is the future of a multi-cloud and distributed data world. AI needs data from different sources, in real-time, to take it to the next level towards General AI. Join this webinar to get insights into what data virtualization can do for your organization today. ...
big data has developed from the discipline of statistical analysis all the way to today's advanced data platform technologies. In this ebook, we'll describe how we got here, the challenges big data presented along the way, and how organizations are using data platforms to get more value from...
However, both the range of areas where trend detection is desirable, and the scale at which data is available for analysis, have grown unimaginably as the cloud era progresses. Social networking has been fertile ground for sentiment analysis. Services like Twitter that make their social data ...
Butdata lakescan be immense, and analyzing big data requires powerful computing resources. Big data may require less human capital; however, storing exabytes of data and operating distributed computing systems is expensive, whether it’s on-premises or in the cloud. ...
On January 18, 2019, the Big Data Technology Session of Alibaba Cloud Yunqi Developer Salon, co-hosted by the Alibaba Cloud MaxCompute developer community and Alibaba Cloud Yunqi Community, was held at Beijing Union University. During this session, Wu Yongming, Senior Technical Expert at Alibaba,...
A data warehouse refers to the place where a business or other organization stores its big data for analysis. A data warehouse can reside in the owner's in-house servers, with an outside specialist company, or in the cloud, and is most commonly associated with structured data. A data lake...