Big Data Hadoop Training

Big Data Analytics courses are curated by experts in the industry from some of the top MNCs in the world. The main aim of Data Analytics online courses is to help you master Big Data Analytics by helping you learn its core concepts and technologies including simple linear regression, prediction models, deep learning, machine learning, etc. You can learn these concepts and more with the help of these training programs. Besides, to enhance your learning experience, we will also make you work on real-time industry-based projects. Moreover, we will also assist you in finding a lucrative job in a reputed organization. So, without wasting any time, sign up for one of the best courses on Big Data Analytics today!

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Big Data Hadoop Certification Training

Key Features

Industry standard curriculum

Every technology syllabus is tailored to meet current industry requirements.

80% Hands-On Trainings

you will be getting 80% hands-On Trainings and license system access for practice

Real World Projects

Explore how technologies interacts with the real world using industrial use-cases.

Flexible Schedules

If you feel NOW is the right time, we got your schedule covered.

Official Certificate Guidance

Along with course completion certificate, we assure you with official certificate guidance.

Free Career Counselling

We are happy to help you

Bigdata Certification Course FAQs

What is BigData ?

Big data refers to the large and complex set of data that are difficult to process using traditional processing systems. Stock exchanges like NYSE and BSE generate Terabytes of data every day. Social media sites like Facebook generates data that are approximately 500 times bigger than stock exchanges.

Hadoop is an open-source project by Apache used for the storage and processing of large volumes of unstructured data in a distributed environment. Hadoop can scale up from a single server to thousands of servers. Hadoop framework is used by large giants like Amazon, IBM, New York Times, Google, Facebook, Yahoo, and the list is growing every day. Due to the larger investments companies make for Big Data the need for Hadoop Developers and Data Scientists who can analyze the data increases day by day.

Why learn Big Data and Hadoop Online ?

Big data is the latest and the most demanding technology with continuously increasing demand in the Indian market and abroad. Hadoop professionals are among the highest paid IT professionals today with salary $135k (source: indeed job portal).

What are the various job opportunity available after doing Cloud Computing ?

11 Career Paths You Can Pursue With a Master’s in Business Analytics & Big Data

Machine learning engineer. Average salary: US$110,739.
Data architect. Average salary: US$116,710.
Statistician. Average salary: US$73,054.
Data analyst.
Chief technology officer (CTO)
Chief data officer (CDO)
Application architect.
Project manager.

Which industries are good for Big Data & Hadoop Professional ?

Here is the list of the top 10 industries using big data applications:

Banking and Securities.
Communications, Media and Entertainment.
Healthcare Providers.
Education.
Manufacturing and Natural Resources.
Government.
Insurance.
Retail and Wholesale trade

What is the Average salary of a Big Data & Hadoop Professional ?

The salary scale of senior-level Big Data Hadoop Developers (with over 15 years of experience) is usually very high, ranging between Rs. 28 – 50 LPA or more. The global Hadoop Big Data market is projected to grow from US$ 4.91 billion in 2015 to US$ 40.69 billion by 2021, recording a CAGR (Compound Annual Growth Rate) of 43.4% during the forecast period. This indicates positive growth in the demand for Hadoop Developers in the years to come.

What are the skills needed for joining Big Data Hadoop Training ?

Top Hadoop Developer Skills

Hadoop Basics. You must be familiar with the fundamentals of Hadoop.
HDFS. HDFS stands for Hadoop Distributed File System and is the storage system available in Hadoop.
HBase. HBase is an open-source non-relational distributed database.
Kafka.
Sqoop.
Flume.
Spark SQL.
Apache Spark.