Big Data Hadoop and Spark Developer

The Big Data and Hadoop Certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark, including the Hadoop Data File SystemHDFS, YARN, and MapReduce. You will also learn to use Pig, Hive, and Impala to process and analyze the large datasets stored in the HDFS, and use the Sqoop and Flume for data ingestion with our big data training course. You will be a master in real-time data processing using the Spark, including functional programming in Spark, understanding parallel processing in Spark, implementing Spark applications, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in the Spark and use Spark SQL for creating, transforming, and querying the data forms. As a part of the Big Data course, you will be required to execute the real-life, industry-based projects using CloudLab in the domains of the banking, social media, telecommunication, insurance, and e-commerce. This Big Data Hadoop certification training course will prepare you for the Cloudera CCA175 big data certification.

The Hadoop certification training course includes 5 real-life, industry-based projects. Successful evaluation for one of the following two projects is a part of the certification eligibility criteria.

• Project 1Domain- Banking Description: A Portuguese banking institution ran a marketing campaign to convince the potential customers to invest in a bank term deposits. Their marketing campaigns were conducted through the phone calls, and sometimes the same customer was contacted more than once. Your job is to investigate the information collected from the marketing campaign.
• Project 2Domain- Telecommunication Description: The mobile phone service provider has launched a new Open Network campaign. The company has invited the users to raise their complaints about the towers in their locality if they have face any issues with their mobile network. The company has collected that dataset of users who raised a complaint. The fourth and fifth field of the dataset has a latitude and longitude of the users, which is most important information for the company. You must find this latitude and longitude information on the basis of the available dataset and create three clusters of the users with a k-means algorithm. For an additional practice, we have three more projects to help you start your Hadoop and the Spark journey.
• Project 3Domain- Social Media Description: As part of a recruiting exercise, a major social media company has asked the candidates to analyze a dataset from the Stack Exchange. You will be using this dataset to arrive at certain key insights.
• Project 4Domain- Website providing the movie-related information Description: IMDB is an online database of the movie-related information. IMDB users rate the movies on a scale of 1 to 10 -- 1 being the worst and 10 being the best -- and provide reviews. The dataset also has an additional information, such as that release year of the movie. You are tasked to analyze the data collected.
• Project 5Domain- Insurance Description: A US-based insurance provider has decided to launch a new medical insurance programming to target various customers. To help a customer to understand the market better, you must perform a series of the data analyses by using Hadoop

The field of the big data and analytics is a dynamic one, adapting rapidly as technology evolves an over time. Those professionals who take the initiative and excel in the big data and analytics are well-positioned to keep pace with the changes in technology space and fill growing job opportunities. Some trends in the big data include:

• Global Hadoop Market to Reach $84.7 Billion by 2021 – Allied Market Research
• Shortage of 1.4 -1.9 million Hadoop Data Analysts in the US alone by 2018– McKinsey
• Hadoop Administrators in the US receive salaries up to $123,000 – indeed.com