The Big Data and Hadoop Training in Bangalore will equip you with in-depth knowledge of Big Data’s framework using tools such as Hadoop and Spark. In Simplilearn's hands-on Big Data and Hadoop training in Bangalore, students get to use the Integrated Lab to tackle authentic, industry-relevant projects. This way, students get actual experience working with Big Data.
Big Data and Hadoop Training in Bangalore can help your career. The global HADOOP-AS-A-SERVICE (HAAS) Market in 2019 was about USD 7.35 Billion, and promises to keep rising. Predictions have the market growing at a CAGR of 39.3%, reaching around USD 74.84 Billion by 2026. To stay ahead of the technology curve, Big Data and Hadoop Training in Bangalore is critical.
Online Classroom:
Online Self-Learning:
To become Certified Big Data Hadoop Developer, you must fulfill both of the following criteria:
Simplilearn’s Hadoop Certifications Training in Bangalore is Classroom Flexi-Pass Learning Methodology that has a validity of 180 days (6 months) of high-quality e-learning videos, Self-paced learning Content plus 90 days of access to 9+ instructor-led online training classes.
Simplilearn’s Hadoop Certification course in Bangalore is priced at $799 for Online Classroom Flexi-Pass.
There are no prerequisites for learning this course. However, knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush up your Core-Java skills, Simplilearn offers a complimentary self-paced course "Java essentials for Hadoop" when you enroll for this course. For Spark, this course uses Python and Scala, and an e-book is provided to support your learning.
It takes around 45-50 hours to successfully complete the Big Data and Hadoop training in Bangalore.
Big data refers to a collection of extensive data sets, including structured, unstructured, and semi-structured data coming from various data sources and having different formats.These data sets are so complex and broad that they can't be processed using traditional techniques. When you combine big data with analytics, you can use it to solve business problems and make better decisions.
Hadoop is an open-source framework that allows organizations to store and process big data in a parallel and distributed environment. It is used to store and combine data, and it scales up from one server to thousands of machines, each offering low-cost storage and local computation.
Spark is an open-source framework that provides several interconnected platforms, systems, and standards for big data projects. Spark is considered by many to be a more advanced product than Hadoop.
Hadoop is one of the leading technological frameworks being widely used to leverage big data in an organization. Taking your first step toward big data is really challenging. Therefore, we believe it’s important to learn the basics about the technology before you pursue your certification. Simplilearn provides free resource articles, tutorials, and YouTube videos to help you to understand the Hadoop ecosystem and cover your basics. Our extensive course on Big Data Hadoop certification training will get you started with big data.
The global Big Data and data engineering services market is expected to grow at a CAGR of 31.3 percent by 2025, so this is the perfect time to pursue a career in this field.
The world is getting increasingly digital, and this means big data is here to stay. The importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data and analytics might be the type of role that you have been trying to find to meet your career expectations.
Professionals who are working in this field can expect an impressive salary, the median salary for a Data Engineer is $137,776, with more than 130K jobs in this field worldwide. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.
According to Forbes, Big Data & Hadoop Market is expected to reach $99.31B by 2022.
This Big Data Hadoop training course in Bangalore is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop, Flume, and Kafka for data ingestion with our significant data training.
You will master Spark and its core components, learn Spark’s architecture, and use the Spark cluster in real-world - Development, QA, and Production. With our Big Data Hadoop training in Bangalore, you will also use Spark SQL to convert RDDs to DataFrames and Load existing data into a DataFrame.
As a part of the Big Data Hadoop training course in Bangalore, you will be required to execute real-life, industry-based projects using Integrated Lab in the domains of Human Resource, Stock Exchange, BFSI, and Retail & Payments. This Big Data Hadoop training course will also prepare you for the Cloudera CCA175 significant Hadoop certification exam.
Bangalore is the third-largest city in India. 949 metres (3113 feet) above sea level, the Indian state of Karnataka's capital, Bangalore, is also known as Bengaluru. The Deccan Plateau in Karnataka's south-east corner is home to this city.
Bangalore’s estimated Metro GDP is around US$110 billion with GDP growth of 7.8%. The city is located at 12.97° N 77.56° E and covers an area of 2190 square kilometres. The city enjoys a pleasant climate throughout the year. In the winter, the maximum temperature can reach 27°C and the minimum temperature can be as low as 17°C. Bangalore is known as India's Silicon Valley due to its burgeoning IT sector and startup scene.
Bangalore has many landmarks, tourist attractions, and many places to visit. Top sights in Bangalore are Botanical garden, Bannerghatta Biological park, Bangalore palace, Cubbon Park, commercial city, and innovative film city. Lumbini park, and WonderLa are the places of amusement to enjoy with family and children.