Length: 3 Days
Making sense of big data is a challenge for just about every organization in the world today, which is why Hadoop has become so popular.
Hadoop is an open-source framework developed by Java intended to store and manage a large amount of data. It allows multiple coexisting tasks to run from single to thousands of servers without any obstruction. It also consists of a distributed file system that allows transferring data and files in split seconds between different nodes and it’s able to process efficiently even if a node fails.
The base Hadoop framework is composed of the following modules:
- Hadoop Common – This contains libraries and utilities needed by other Hadoop modules.
- Hadoop Distributed File System (HDFS) – A distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster.
- Hadoop YARN – A platform responsible for managing computing resources in clusters and using them for scheduling users’ applications. YARN was introduced in 2012.
- Hadoop MapReduce — An implementation of the MapReduce programming model for large-scale data processing.
In essence, there are many other components in the Hadoop family that support the processing of Big Data. All these components together solves the majority of the problems of storage and speedy processing in the big data world.
For example, it took 10 year to process the information of Human Genome. With the help of Hadoop, it is now possible to process a project of this magnitude in just one week.
The benefits of Hadoop are considerable, including its range of data sources.
Speed also is a big part of Hadoop’s appeal. Organizations are discovering that they can get work done faster with Hadoop, which uses a storage system wherein the data is stored on a distributed file system
One of the biggest advantages of using Hadoop is that it’s cost effective.
Industries also find Hadoop beneficial because:
- It’s easily learned
- It provides marketing solutions
- It’s a powerful software
From a job perspective, Hadoop is the most popular and in demand big data tool. Anyone currently working in the data science field or plans to be, needs to understand Hadoop.
Hadoop Training Course by Tonex
This 3-day training program is an excellent introductory course that covers everything from the evolution of Hadoop in the big data era to how this framework can be used to help companies better organize data for increased profit.
Many occupations can benefit from this training including data scientists, data analysts, IT teams, manufacturers, upper and middle management, and students.
Why Choose Tonex?
We’ve been in business for nearly three decades for a reason: Our world class instructors are not only specialists in their fields, but they bring real world experience into classrooms, which helps participants get a more meaningful understanding of topics and what to expect regarding employment, advancement and probable future trends.
Tonex can also tailor classes to better serve the specific needs or your organization.
Sound good? Why not let us help you get started today? For more information, questions, comments, contact us.