There’s no doubt about the fact that data is growing day by day. While this data can be invaluable to enterprises for gaining edge amongst their competitors, the whole point of having it fails if they are not able to store and analyze it properly. This is where data storage and analytics tools like Hadoop and Tableau come in. People are moving with Cloud training and Hadoop training in order to suffice the requirements of their increasing data.
You can think of Hadoop as a Java-based software framework trusted by companies dealing with big data to store and access it. It supports data in any form both structured as well as unstructured. Hadoop offers appealing advantages like flexibility and lower costs for enterprises to store extremely large data sets and achieve faster analytics on their Hadoop based data. However, with Cloud emerging in the market, enterprises are slowly moving towards adopting various options such as AWS, Google Cloud, etc. to store their data. Nevertheless, Hadoop is still one of the most popular choices for those relying on on-premises platforms as it is more secure.
On the other hand, Tableau is a business intelligence and visualization tool that consumes the data stored on platforms like Hadoop or on the cloud to derive valuable insights out of it. Tableau on Hadoop works seamlessly to enable business users for connecting, visualizing and creating interactive dashboards from their data.
One of the most important factors behind Tableau’s success is its capability to enable business users to visualize their data through interactive dashboards. It allows them to perform complex analysis and gather insights out of it in an easily understandable format.
While Tableau on Hadoop or cloud platforms is promising for smaller datasets and beautiful visualizations, it starts posing challenges when left to deal with massive volumes of data, often in trillions of rows.
But this does not necessarily mean that you cannot utilize the power of Tableau on Hadoop for your business. In fact, to solve this challenge, you can use a BI acceleration platform like Kyvos that sits between your data platform and Tableau. It’ll enable you to make the most out of your data by delivering business insights within sub-seconds.
It creates a semantic layer between your favorite BI tool and your data lake, be it on the cloud or on-premises which accelerates query performance by the power of multidimensional OLAP technology. It pre-aggregates all the data by using this thus, enabling users to get instant responses to even the most complex queries. Moreover, it does that on the top of your favorite BI tool which gives you the freedom to keep using Tableau on Hadoop coupled with better performance.
Kyvos is the world’s most powerful BI acceleration platform that delivers instant insights on trillions of rows, both on the cloud and on-premise data lakes. Our next-generation OLAP technology revolutionizes analytics by creating a unified semantic layer and enables users across the enterprise to visualize, explore, and analyze massive volumes of data with sub-second response times. With the mission to transform businesses through innovations in analytics, we enable enterprises to make faster, deeper and better-informed decisions. Headquartered in Los Gatos, California, Kyvos Insights was formed by a team of veterans from Yahoo!, Impetus, and Intellicus Technologies.