10 Big Data Advances That Are Changing the Game
Like every technology, big data is reaching new heights, thanks to an innovative young crop of companies willing to deliver. Advanced software for business analytics and data management is exigent to modern enterprises, as such enterprises appear to be perpetually grappling with data challenges. In response, the market is getting flooded with a number of new offerings, the core precepts of which are simplification, sophistication, and sublimation of data into a unified entity. Here’s a look at some of the big advancements in the big data realm that can help you get over your data dilemmas.
1. Arcadia Enterprise 4.0: This is a visual analytics software that helps enterprises handle complex big data analytics. Not only does it solve accessibility issues, it helps handle data well without having to move or extract data inconsistently. A user-friendly interface based on Google Design, proactive alerting mechanisms, and scheduling features allow for real-time data management. Its interesting feature is the new secure extranet capabilities that allow data creators to reach out to external parties by the thousands. Arcadia also integrates development through the point-and-click interface.
2. AtScale 5.0: This targets users of BI and analytics software such as Tableau and QlikView. It allows for management of large volumes of data from systems such as Hadoop. Complex business processes can be modeled through its calculation and optimization engines. Moreover, data can be accessed from a variety of sources such as on-premises and cloud through its data abstraction layer. Some of the key enterprise-benefits are enterprise-grade security, data governance, and metadata management capabilities.
3. Attunity Compose 3.0: This is the latest in the agile data warehouse automation software category. It not only helps manage extract, transform, and load (ETL) processes with respect to big data, but also helps deliver better and speedier analytics. A slew of enhancements to the Compose software bring forth a ten-fold increase in ETL speed. It is also integrated with new DevOps capabilities to streamline data warehousing. Another great feature is advanced version control, which allows customers to roll back to previous project stages. It thus adds a flavor of collaboration and team spirit to data processes.
4. Cazena Data Science Sandbox as a Service: This is a cloud-based solution for data science and data warehousing, adding an element of DevOps resources and expertise in the big data management process.
