Generally, organizations use a large amount of data for their operations. Managing a large amount of data like performing operations on it, storing and retrieving it, manipulating the data is difficult one. For this purpose, organizations use different technologies. One of the famous platforms used for manipulating big data by most of the organizations is the Hadoop. One can learn the basic concepts of Hadoop and big data through different classes like Hadoop Essentials workshop.
Through this workshop participants will learn about the overview of Apache Hadoop and learn how to use Hadoop to meet the goals of the business. Participants will learn about various technologies of Apache Hadoop such as Hadoop Distributed File System, MapReduce, HBase, Pig, Hive, Sqoop, and Hue etc. Also, they learn how to fit these concepts into the technology environment. In addition, participants will learn,
- When is Hadoop appropriate?
- What are people using Hadoop for?
- How does Hadoop fit into our existing environment?
- What do I need to know about choosing Hadoop?
- What resources will I need to deploy Hadoop?
What will the participants learn?
In big data and Hadoop classroom training, participants will learn the following concepts
- What is the reason for using Hadoop?
- Map Reduce and HDFS
- Cloudera’s Distribution for Hadoop (CDH)
- Augment Your Existing Environment
- Relational Databases
- OLAP Systems and More
- People Resources Required
- Physical Resources Required
- Cost to Organization
- Scale for Growth
- The Hadoop Distributed File System
- Anatomy of a Hadoop Cluster
- Breakthroughs of Hadoop
- Name Node
- Data Node
- Secondary Name Node
Why learn Hadoop?
There are several different reasons are there for learning Hadoop
Easy to learn
The Hadoop platform is easy to understand and learn. Unlike other programming languages or platforms, its concepts are easy to learn. The Hadoop platform is completely written in the Java language. Hence, anyone those who have the knowledge of Java programming finds it easy to learn Hadoop.
Scope To Move Into Bigger Domains
One can use the Hadoop skills and expertise to move into higher levels such as Artificial Intelligence, Sensor web data, Data Science, and Machine Learning. These are emerging markets, and one will see gain a good position in the industry. Good knowledge in Big Data and Hadoop could boost your chances of getting into some of the bigger Big Data-dependent companies such as Amazon, Yahoo, Facebook, Twitter, IBM, and eBay.
Easy to handle big data
Unlike the other databases that are not capable of dealing with large volumes of data, Hadoop offers the cheapest, quickest, and smartest way to store and process large volumes of data. This is the reason why it is so popular among big corporations, government organizations, hospitals, universities, financial services, online marketing agencies, etc.
Who can learn Hadoop Essentials?
Learning Hadoop Essentials is suitable for the following professionals
- Technical managers
- Engineering managers
- This is also useful for professionals who work with big data and perform operations and manipulations on data of an organization.