Aster Data Developer Center


Developer Center includes resources to help you understand how to leverage SQL-MapReduce®.		Tools for rapid development and testing include Developer Express and Analytic Foundation.		In the Developer Portal, share information about developing analytics with SQL-MapReduce®.

Overview

Aster Data provides an analytic platform for processing diverse analytics with massive scalability and performance. To help developers leverage SQL-MapReduce®, Aster Data Developer Center makes it simple to create powerful analytics.

The SQL-MapReduce framework combines the familiarity of SQL with the power of MapReduce parallel processing - analysts can create powerful big data analytic applications without learning specialized new skills and without the complexity of traditional alternatives. SQL-MapReduce allows for greater depth of analytic insight and faster time to value from big data, helping organizations harness the value of their data.

Learn

MapReduce is a valuable new approach to massive-scale processing. The programming framework was popularized by Google to simplify data processing across massive data sets. As people rapidly increase their online activity and digital footprint, organizations are finding it vital to quickly analyze the huge amounts of data available to them.

SQL-MapReduce makes it easy to leverage the power of MapReduce with the ease and familiarity of SQL. Analytic software code written in Java, C, C#, Python, C++, R, and other languages can be MapReduce-enabled and pushed into the Aster Data platform where it is called using standard SQL.

Build

Aster Data provides tools for visual development and rapid testing including Aster Data Developer Express and Analytic Foundation. Developer Express is an integrated development environment (IDE) for building MapReduce-based analytics from development and validation to deployment. With Developer Express, you can build your first MapReduce application in 30 minutes.

Aster MapReduce Analytics Portfolio is a powerful suite of reusable MapReduce functions that simplifies and accelerates development of advanced analytics. The functions are designed for high performance and scalability to leverage the power of Aster Data's in-database MapReduce and SQL-MapReduce framework.

Aster Developer Express videos

Overview: Watch how to build, test, and deploy a MapReduce-based analytic application.

Porting a Java Application to SQL-MapReduce: Port a Java application designed for a single machine to SQL-MapReduce and nCluster in less than 30 minutes.

Developer Express Tutorials

Cube Root Function: This tutorial uses Aster Developer Express to write a cube root function in Java using MapReduce. You will build and test the function against sample data.
Prequisites: An installed version of Aster Developer Express Eclipse Plug-in and Eclipse Version 3.5.1.

Wordcount: This tutorial uses Aster Developer Express to write a wordcount function in Java using MapReduce. You will build and test the function against sample data.
Prequisites: An installed version of Aster Developer Express Eclipse Plug-in and Eclipse Version 3.5.1.

The flexibility and expressiveness of SQL-MapReduce make it easy to leverage building blocks to accelerate development. In the Developer Portal, SQL-MapReduce developers work with a community of experts to share, ask, and leverage expertise and insights about developing analytics - access is available to Aster Data customers and partners.

The first community built entirely around SQL-MapReduce analytics allows developers to help their peers while building their reputations as cutting-edge analytic developers. It includes:

Blogs - Aster Data's analytics team describes their ideas, best practices, and interesting use cases
Discussions - Functions from Aster Data and other companies and general SQL-MapReduce discussion
Downloads - Archives of all functions posted on the portal for your easy access