Big Data Hadoop
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!
Big Data Hadoop Certification Training
In collaboration with IBM
Key Skills – MapReduce, HDFS, Advanced Hive and Impala, Pig, Sqoop, Oozie, Flume and HBase, Spark framework and RDD, Scala and Spark SQL, Machine Learning using Spark, Spark Streaming, etc.
60 hrs
Online Class
6 hrs
Projects
25 hrs
Hands-On
In collaboration with IBM
Key Skills – Hadoop & Hadoop Ecosystems, Big Data, HDFS, MapReduce, Hadoop Administration, Multi-Node Cluster Setup, Cluster Configuration, Maintenance, Monitoring & Troubleshooting, Hadoop Cluster with Kerberos, etc.
25 hrs
Online Class
4 hrs
Projects
10 hrs
Hands-On
In collaboration with IBM
Key Skills –Scala programming language, Spark installation process, Resilient Distributed Datasets RDD, SparkSQL, Spark Streaming features, Spark ML programming, GraphX programming
24 hrs
Online Class
4 hrs
Projects
10 hrs
Hands-On
Our Alumni Works At
100+ Global Companies
Key Features
Industry standard curriculum
Every technology syllabus is tailored to meet current industry requirements.
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
Big Data Hadoop Certification Course FAQs
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.
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).Â
- Machine learning engineer. Average salary: US$110,739.Â
- Data architect. Average salary: US$116,710.
- Statistician. Average salary: US$73,054.
- Data analyst.
- Chief technology officer (CTO)Â
- Chief data officer (CDO)Â
- Application architect.
- Project manager.
- Banking and Securities.
- Communications, Media and Entertainment.
- Healthcare Providers.
- Education.
- Manufacturing and Natural Resources.
- Government.
- Insurance.
- Retail and Wholesale trade.
The salary scale of senior-level Big Data Hadoop Developers (with over 15 years of experience) is usually very high, ranging between Rs. 28 – 50 LPA or more.Â
The global Hadoop Big Data market is projected to grow from US$ 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.
- Hadoop Basics. You must be familiar with the fundamentals of Hadoop.Â
- HDFS. HDFS stands for Hadoop Distributed File System and is the storage system available in Hadoop.Â
- HBase. HBase is an open-source non-relational distributed database.Â
- Kafka.Â
- Sqoop.Â
- Flume.Â
- Spark SQL.Â
- Apache Spark.
