Big Data Training

Big Data Training and Courseware

The data is considered in the Big Data category when traditional systems and tools (e.g. databases, OLAP and data-mining systems used in data marts or warehouses) may become either prohibitively expensive to handle the exponential growth of data volumes or found unsuitable for the job.

Most organizations use just a fraction of the data available to them as it is either too expensive to process it or business has no expertise to extract the relevant information. Businesses that effectively leverage Big Data (that was originally discarded or not processed due to technology limitations) get a competitive advantage over their competitors. Insights from Big Data help improve services and products, develop deeper customer relationships in a more agile and predictive manner and uncover new monetization opportunities.

Related course categories

Hadoop
NoSQL

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Our courses

WA2713 Artificial Intelligence for Managers

Machine Learning can help businesses reengineer their processes for higher revenue, higher customer satisfaction and lower cost. This course teaches the fundamentals of machine learning and how it differs from…

WA2610 Machine Learning with Apache Spark

This intensive Apache Spark training course provides an overview of data science algorithms as well as the theoretical and technical aspects of using the Apache Spark platform for Machine Learning.

WA2592 Applied Data Science and Big Data Analytics

This intensive training course provides theoretical and technical aspects of Data Science and Business Analytics. The course covers the fundamental and advanced concepts and methods of deriving business insights from big” and/or “small” data.

TP2424 Hadoop Training: Administering Hadoop

This 5 day training course provides System Administrators with a detailed understanding of all the skills required to operate and manage Hadoop clusters. It covers Installation, Configuration, Monitoring and Performance Tuning of Hadoop clusters in diversified Environments.

WA2393 Data Science for Solution Architects

This big data training course helps Solution Architects and other IT practitioners understand the value proposition, methodology and techniques of the emerging discipline of Data Science. The class also introduces the students to a number of existing…

WA2342 NoSQL Architecture Comparison

The NoSQL (Not Only SQL) persistence systems space offers a great variety of solutions that may be overwhelming. This class aims at helping the attendees understand the challenges of the emerging world of Big Data as well as identify suitable use cases…

WA2341 Hadoop Programming on the Cloudera Platform

This training course introduces the students to Apache Hadoop and key Hadoop ecosystem projects: Pig, Hive, Sqoop, Impala, Oozie, HBase, and Spark.

WA2324 R Programming

Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised…

WA2268 Big Data and NoSQL for Developers

This course provides application developers with technical overview of Big Data as well as NoSQL (Not Only SQL) database systems. Effective use of NoSQL systems and understanding the appropriate ways of handling Big Data leads to the creation…

WA2267 Big Data Management Solutions for Architects

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…

WA2266 Development with MongoDB

MongoDB is an open source document-oriented NoSQL (Not Only SQL) database written in C++. Effective use of MongoDB, understanding its data structures and optimal ways to program to its API aids in creating high-performance and robust…

WA2192 Introduction to Big Data and NoSQL

This course provides an introduction to Big Data as well as NoSQL (Not Only SQL) database systems. The fundamental concepts of and ideas behind Big Data / NoSQL technologies are methodically…

WA2186 Big Data and Analytics for Business Users

Data is one of the most valuable assets that your organization possesses. Every day you are creating more data and potentially passing up opportunities to harvest that data and use it to accelerate the achievement…

What is Big Data?

Gartner defines Big Data as “Big data are high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.”

How does Big Data and Hadoop relate?

Hadoop is a distributed fault-tolerant computing platform written in Java. It’s modeled after shared-nothing, massively parallel processing (MPP) system design. Hadoop’s design was influenced by ideas published in Google File System (GFS) and MapReduce white papers. Hadoop’s core component, Hadoop Distributed File System (HDFS) is the counterpart of GFS. Hadoop uses functionally equivalent to Google’s MapReduce data processing system also called MapReduce (term coined by Google’s engineers). Hadoop is written in Java to ensure that HDFS is portable. One of the main focuses of Hadoop’s architecture was to “design for failure”.

What Big Data can do?

Businesses that effectively leverage Big Data (that was originally discarded or not processed due to technology limitations) get a competitive advantage over their competitors. Insights from Big Data help improve services and products, develop deeper customer relationships in a more agile and predictive manner and uncover new monetization opportunities.

Since storage costs of Big Data in many cases is not an issue, businesses may request their IT to extend retention period of some data feeds and come up with usage ideas later on. Specialized Big Data solutions can offer real or near real-time analytics. Overall, with Big Data, business agility is achieved and new features can be incorporated into applications quickly and easily.

Blogs and resources:

Using K-means Machine Learning Algorithm With Apache Spark and R

Spark RDD Performance Improvement Techniques (Post 1 Of 2)

Spark RDD Performance Improvement Techniques (Post 2 Of 2)

Apache Spark Class Development Complete

SPARKR on CDH and HDP

Simple Algorithms for Effective Data Processing in Java

Spark SQL

The Simplest Possible Streaming Mapreduce Script

Webinars:

Data Science for Solution Architects

Hadoop for Managers

Machine Learning Algorithms in Apache Spark

Top 10 Trends in 2016 IT Landscape

Mongodb — The More Important Features

To Spark Or Not to Spark?

Hadoop Programming Options

Introduction to Apache Spark

Introduction to Big Data and NoSQL

Big Data Business Intelligence And Analytics For Business Analysts

Microservices

Managing Bigdata Using Hadoop Clusters

Data Science For Solution Architects

Hadoop Programming

Using R as a tool for Business Analytics

Demystifying Big Data for managers and developers