The Big Data and Hadoop training in Ottawa gives you vital knowledge of Big Data’s framework. The hands-on Integrated Labs in this Big Data and Hadoop course in Ottawa uses tools such as Spark and Hadoop along with industry-themed projects. The Big Data and Hadoop course in Ottawa provides marketable experience in handling Big Data.
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Enrolling in Simplilearn's Big Data and Hadoop Training in Ottawa is smart career move. Consider that the HADOOP-AS-A-SERVICE (HAAS) market hovered around USD 7.35 billion in 2019. Experts say this market will grow at a CAGR of 39.3%, reaching USD 74.84 Billion by 2026. That’s why you need Big Data and Hadoop Training in Ottawa.
Simplilearn gives you a course completion certificate when you finish the Big Data and Hadoop course in Ottawa. To earn the CCA175 - Spark and Hadoop certificate from Cloudera, you must pass a separate exam. The Big Data and Hadoop training in Ottawa prepares you for that exam.
The Big Data and Hadoop training in Ottawa gives students expertise working in the Hadoop environment, and includes an abundance of Big Data tools and approaches to prepare them for big data engineering success. Simplilearn’s course completion certification calls attention to your newly acquired Big Data skills and related on-the-job, hands-on expertise. The Big Data and Hadoop training in Ottawa provides a thorough understanding of the tools used in Hadoop’s environment such as Kafka, Flume, MapReduce, Hive, HDFS, HBase, and others, each geared toward helping learners become better data engineering experts.
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.
Online Classroom: Each student must attend a minimum of one complete batch of Big Data and Hadoop training in Ottawa, must finish one project, and compile an 80% score on one simulation test.
Online Self-learning: A minimum requirement is to finish 85% of the Big Data and Hadoop course in Ottawa, finish one project, and achieve a score of 80% or greater on one simulation test.
Successful completion of the Big Data and Hadoop training in Ottawa takes from 45 to 50 hours.
Simplilearn provides you with support and guidance for taking the CCA175 Hadoop certification exam. The Big Data and Hadoop training in Ottawa is geared to provide students with all the knowledge they need to pass the exam with flying colors on the first attempt. But in the event that you do fail, you’ll receive three more attempts to successfully ace the exam.
The world is getting increasingly digital, and this means big data is here to stay. In fact, 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 just 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, with the median salary for data scientists being $116,000. Even those who are at the entry level will find high salaries, with average earnings of $92,000. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow. Close to 80% of data scientists say there is currently a shortage of professionals working in the field.
The Big Data Hadoop Certification course 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 and Flume for data ingestion with our big data training.
You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.
As a part of the Big Data course, you will be required to execute real-life, industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce. This Big Data Hadoop training course will prepare you for the Cloudera CCA175 big data certification.
Big Data Hadoop training will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. You will learn to:
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including:
The Hadoop Training course includes five real-life, industry-based projects. Successful evaluation of one of the following two projects is a part of the certification eligibility criteria.
Project 1
Domain- Banking
Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.
Project 2
Domain- Telecommunication
Description: A mobile phone service provider has launched a new Open Network campaign. The company has invited users to raise complaints about the towers in their locality if they face issues with their mobile network. The company has collected the dataset of users who raised a complaint. The fourth and the fifth field of the dataset has a latitude and longitude of users, which is 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 users with a k-means algorithm.
For additional practice, we have three more projects to help you start your Hadoop and Spark journey.
Project 3
Domain- Social Media
Description: As part of a recruiting exercise, a major social media company asked candidates to analyze a dataset from Stack Exchange. You will be using the dataset to arrive at certain key insights.
Project 4
Domain- Website providing movie-related information
Description: IMDB is an online database of movie-related information. IMDB users rate movies on a scale of 1 to 5 -- 1 being the worst and 5 being the best -- and provide reviews. The dataset also has additional information, such as the release year of the movie. You are tasked to analyze the data collected.
Project 5
Domain- Insurance
Description: A US-based insurance provider has decided to launch a new medical insurance program targeting various customers. To help a customer understand the market better, you must perform a series of data analyses using Hadoop.
The field of big data and analytics is a dynamic one, adapting rapidly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well-positioned to keep pace with changes in the technology space and fill growing job opportunities. Some trends in big data include:
Global Hadoop Market to Reach $84.6 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 of up to $123,000 – indeed.com