EXAM CODES S07-116
To stay competitive a business needs to know as much as it can about people, the environment it's operating in, and who and where the competitors are. The amount of data companies collect keeps growing. There is an urgent need of a strategy to make sense of it all. Star Big Data Programming is a certification course that will help learners master the skills they need to establish a successful career as a data engineer. The program will help the learners master the skills on HDFS, MapReduce, HBase, Hive, Pig, Yarn, Oozie, Flume and Sqoop using real-time use cases from retail, social media, aviation, tourism, and finance industries. It equips the learners with in-depth knowledge of writing code using the MapReduce framework and managing large data sets with HBase.
Intermediate
In this course, you will learn about:
After competing this course, you will be able to:
Labs
Chapter 1. Setting up the required environment for Apache Hadoop installation
Chapter 2. Installing the Single-Node Hadoop configuration on the system
Chapter 3. Exploring the Web-Based User Interface of Hadoop Cluster
Chapter 4. Implementing Map-Reduce Program for Word Count
Chapter 5. Implementing Basic Pig Latin Script
Chapter 6. Implementing Basic Hive Query Language Operations
Chapter 7. Using Apache Flume to fetch open-source user tweets from Twitter
Exam Codes | Big Data Programming S07-116 (Academy customers use the same codes) |
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Launch Date | Jul 01 2017 |
Number of Questions | 75 |
Type of Questions | MULTIPLE CHOICE |
Length of Test | 150 Minutes |
Passing Score | 70% |
Recommended Experience | Any Graduate professionals with knowledge in Java programming background are eligible for learning Big Data Hadoop Training. A basic knowledge of any programming language like Java, C or Python and Linux is always an added advantage and also strong knowledge on Concepts of OOPs. |
Languages | English |