In this week's Whiteboard Walkthrough Ted Dunning, Chief Application Architect at MapR, explains in detail how to use streaming IoT sensor data from handsets and devices as well as cell tower data to detect strange anomalies. He takes us from best practices for data architecture, including the advantages of multi-master writes with MapR Streams, through analysis of the telecom data using clustering methods to discover normal and anomalous behaviors.
In this Whiteboard Walkthrough Parth Chandra, Chair of PMC for Apache Drill project and member of MapR engineering team, describes how the Apache Drill SQL query engine reads data in Parquet format and some of the best practices to get maximum performance from Parquet.
Data is evolving, so it's not surprising that the worlds of business intelligence (BI), self-service data exploration, and analytics are also in their own state of metamorphosis. So what happens when you pair these three disciplines with big data technology?
In their new book, The Definitive Guide to BI and Analytics on a Data Lake, authors Jim Scott and Sameer Nori examine the business potential and significant dynamics of analytics and self-service data exploration on a big data platform.
Vinay Bhat, Solution Architect at MapR Technologies, takes you step-by-step through a widespread big data use case: data warehouse offload and building an interactive analytics application using Apache Spark and Apache Drill. Vinay explains how the MapR Converged Data Platform provides unique capabilities to make this process easy and efficient, including support for multi-tenancy.
Watch how you can extend the reach of Microsoft Power BI via SQL to data sources in a MapR cluster running on Microsoft Azure.
In this Whiteboard Walkthrough, Neeraja Rentachintala, Senior Director of Product Management at MapR Technologies, gives an overview of how open source Apache Drill achieves low latency for interactive SQL queries carried out on large datasets. With Drill, you can use familiar ANSI SQL BI tools, such as Tableau or MicroStrategy, plus do exploration directly on big data.
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MapR Monitoring provides the capabilities you need to monitor all cluster operations in a MapR Converged Data Platform deployment. It collects, stores, and displays cluster metrics and system log files to help you understand the utilization in your MapR cluster. It leverages popular open source technologies with which you are likely already familiar. This helps to lower the learning curve, while also offering the flexibility for you to customize and extend the environment
If you've been using SQL for years or are more familiar with BI tools such as Tableau, MicroStrategy, or Qlik, you may have experienced some lag in the data-to-action cycle. With on-the-fly schema discovery, Apache Drill leverages your current skill set and tools so that you don't have to wait on IT to transform and load your data.
Watch this session of Free Code Friday where Bruce Penn, Principal Solutions Architect at MapR, will walk through a hands-on tutorial for Apache Drill.
Want to discover how you can get self-service data exploration capabilities on data stored in multiple formats in files or NoSQL databases? Watch this session of Free Code Fridays to get a basic understanding of Apache Drill.