BIG DATA MEETS LITTLE DATA: BASIC HADOOP TO ANDROID AND ARDUINO WITH THE CLOUD, SAS AND APACHE OPEN SOURCE
SAS® has been an early leader in Big Data technology architecture to more easily integrate across system platforms for development of processes based on improvement of Apache Open Source projects for Hadoop and MapReduce, Cassandra, and other Big Data platforms. During this same time there have been other very seminal technologies emerging – based on the new Arduino microprocessor hardware and IDE, and smart cell phone applications, which involve multi-sensor slave integration to a single master node for data acquisition pre-processing and output to local storage – or even wireless data streaming to HDFS remote file systems using Hadoop. Options to bridge Big Data Hadoop to Arduino, Android or other Little Data technologies using SAS® are highlighted, but there are many smart app foundation platforms from IBM, SAP, Oracle, and others, as well as new Cloud services from Google, Amazon and Microsoft.
These vendor platforms can also provide many of the core foundations for Big Data. This book focuses on history and summarization of the foundations of Big Data technology SAS® solutions, for Little Data Integration to and from Android and Arduino and other micro-platforms for apps that can be managed by DI Studio and DataFlux.