Description: In this webinar, participants will learn about: • MapReduce Programming Model
• Data Querying and Processing with Hadoop
• Amazon Elastic MapReduce
• Google App Engine
• MongoDB Query Language
• HiveQL

The term “Microservice” has recently been coined to describe a rapidly provisionable, independently deployable service with narrow and distinct functionality that is accessible over common communication protocols. As is often the case with new IT technology terms, the term Microservice is viewed by many as too fuzzy and misleading similar to terms NoSQL and Big Data. In this webinar, we will try to see if we can make sense of it.

Enterprises are facing challenges with increasing volume,variety and varisty of data. This webinar provides analysis of big data challenges and provides various alternatives to turn those challenges into opportunity. This Webinar also provides a practical implementation of Hadoop cluster to handle big data with substantial coverage of installation, configuration, planning and implementation of Hadoop cluster to manage big data in productive way.

As consumers of data engage more with easy-to-use tools and vast volumes of data, the demand for real-time access is also increasing. Real-time information is becoming more critical for business decisions and providing services to customers. This webinar explores the impact of providing real-time data on delivering data to consumers, extracting and storing data and overall data warehouse operations.

Does your organization have several applications where data is overlapping? Are you having issues keeping your data up to date? Come and join us for a 1-hour webinar where we discuss how Master Data Services in SQL Server can help us overcome data management issues.

Data mining is the process of discovering interesting knowledge from large amounts of data. It is an interdisciplinary field with contributions from many areas, such as statistics, machine learning, information retrieval, pattern recognition and bioinformatics. The techniques to discover the interesting knowledge are as varied the data sets being explored. This webinar examines a number of case studies as a means of presenting the underlying thinking, approaches, challenges and business applications of data mining.

Gartner Research's Definition of Big Data (the three V)
Limitations of systems based on the traditional relational database model
NoSQL value proposition

R offers a free yet powerful platform for conducting statistical analysis as well as supervised and unsupervised machine learning that helps analysts and data scientists gain business insights in raw data sets.

This webinar will introduce the audience to the Hadoop ecosystem and MapReduce programming. Hadoop and Hadoop Distributed File System (HDFS) design principles will be explained. Quick overview of the Pig Scripting Platform, Hive and Cloudera Impala will be provided.

Many organizations are overwhelmed by the sheer volume of information they have to process in order to stay competitive. Traditional database systems may become either prohibitively expensive to handle the exponential growth of data volumes or found unsuitable for the job. This webinar will help IT managers and developers to learn the fundamental concepts of and ideas behind Big Data / NoSQL technologies as well as demystify some of the buzzwords.