As the World Cup is kicking off, some of us might be spending a lot of sleepless nights (or waking up earlier) to watch the games. Here is a fun fact: the most anticipated match is from Group H, Japan Vs Belgium (with 4.9B page views out of 9B page views). Interesting.
We definitely want to make sure you don’t miss out on your big data news while you’re enjoying soccer games, here is what you might have missed in June.
Topics: Business Intelligence, Big Data, Data, BI on Big Data
Summer is fast approaching and big data is (still) growing. While you were preparing for the coming hot summer days, you may have missed some of May’s big data news. Without further ado, here is what you might have missed in May.
2018 Dataworks Summit is just around the corner. As you’re preparing your travel to San Jose, it’s time to think about how to maximize your time at the Dataworks Summit. Dataworks Summit will take place from June 18 to June 21. Sessions, keynotes, and workshop are spread across eight different tracks. Check out the full agenda. Everyone may have different goals for this summit. While you’re going through the agenda to select the best sessions for you and your organization, here are our recommendations.
Topics: Big Data, Hadoop Summit, hortonworks, Analytics, Data, BI on Big Data, Data Lake
It may seem like only yesterday that we said goodbye to 2017, but we are almost half-way through 2018. Big things in Big Data happened in the month of April. Many of us watched Mark Zuckerberg testify in front of Congress about data use and security, and still await the final outcome of Cambridge Analytica’s data abuse. If April seemed like it slipped under your fingers, check out what you might have missed in the world of big data.
Topics: Data, BI on Big Data
March is gone and Spring has arrived, at least for many of us. A lot happened in March, and we certainly don't want you to miss out on what’s big on big data. Without further ado, here is what you might have missed in March.
Topics: Business Intelligence, Cloud, BI, Analytics, Data
Since the 1980s, the world has been using OLAP technology to provide a business interface to analyze data stored in traditional ERP and CRM systems. As the demand for insights increased, MOLAP and ROLAP became key technologies.
With all of the different OLAP options out there, you may wonder which one can actually help you achieve your big data strategy. Which strategy is most suitable for your Hadoop environment?
Topics: Hadoop, Business Intelligence, Big Data, molap, olap, rolap
Research shows that the average enterprise has at least 6 to 10 Business Intelligence tools. Microsoft Excel, the world's most prevalent analysis tool is used by 1 Billion users.
Other companies like Tableau, Qliktech, MicroStrategy or Business Objects have had great success too.
However, there is one key issue with a heteregeous BI environment: each tool uses a different protocol so data has to be customized to work with each BI tool.
For instance, Excel uses MDX and Tableau prefers SQL. What if your company uses new tools like Looker or even open-source tools like Apache Zeppelin?
How can your deliver one version of the truth to all users, regardless the tool they use? This post helps you get there.
Topics: Hadoop, Business Intelligence, Big Data
Topics: Hadoop, Business Intelligence, Big Data