BI on Hadoop: What are your options?
There are (too?) many options for BI on Hadoop. Some are great at exploration, some are great at OLAP, some are fast, and some are flexible. Understanding the options and how they work with Hadoop systems is a key challenge for many organizations. Jacques Nadeau provides a survey of the main options, both traditional (Tableau, Qlik, etc.) and new (Platfora, Datameer, etc.).
| Talk Title | BI on Hadoop: What are your options? |
| Speakers | Jacques Nadeau (Dremio) |
| Conference | Strata + Hadoop World |
| Conf Tag | Big Data Expo |
| Location | San Jose, California |
| Date | March 29-31, 2016 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
There are (too?) many options for BI on Hadoop. Some are great at exploration, some are great at OLAP, some are fast, and some are flexible. Understanding the options and how they work with Hadoop systems is a key challenge for many organizations. Jacques Nadeau provides a survey of the main options, both traditional (Tableau, Qlik, etc.) and new (Platfora, Datameer, etc.). Jacques starts by covering the key use cases for using BI with Hadoop and NoSQL systems, discussing different types of data as well as the scale of data and ingestion/mutation rates. Jacques then explains two main categories of BI on Hadoop: general-purpose BI (Tableau, Qlik, MicroStrategy, etc.) combined with interactive SQL-on-Hadoop (Drill, Impala, Spark SQL) and on-Hadoop BI (Platfora, Datameer, Arcadia Data, etc.). He highlights the strengths and weaknesses of each category and presents the main options within the category based on the desired use case. By the end of this session, you’ll have a solid understanding of the Hadoop BI landscape, as well as an approach for structuring your own system evaluation.
