The Big Data course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. In this hands-on Hadoop course, you will execute real-life, industry-based projects using Integrated Lab.
Taking Big Data and Hadoop Training in Toronto gives professionals entry into a promising market. The global HADOOP-AS-A-SERVICE (HAAS) market in 2019 was USD 7.35 Billion. Experts foresee the market growing at a CAGR of 39.3% to reach USD 74.84 Billion by 2026. The key to entry for this market is taking Big Data and Hadoop Training in Toronto.
Use Hadoop features to predict patterns and share actionable insights for a car insurance company.
Use Hive features for data engineering and analysis of New York stock exchange data.
Perform sentiment analysis on employee review data gathered from Google, Netflix, and Facebook.
Perform product and customer segmentation to increase the sales of Amazon.
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
When you complete the Big Data and Hadoop course in Toronto, Simplilearn will present you with the course completion certificate. The Big Data and Hadoop training in Toronto is designed to equip you to pass Cloudera’s exam to get a CCA175 - Spark and Hadoop certificate from Cloudera.
To succeed as a Big Data and Hadoop training in Toronto provides you with insights into Hadoop’s ecosystem, plus a wealth of Big Data tools and methodologies to equip you for success in your role as a Big Data Engineer. Simplilearn’s course completion certification verifies your new Big Data skills and related on-the-job expertise. The Big Data and Hadoop training in Toronto teaches you the tools used in the Hadoop environment such as Hive, Flume, Kafka, HBase, HDFS, MapReduce, and plenty of others; all to make you a better data engineering expert.
Online Classroom: You need to attend one complete batch of Big Data and Hadoop training in Toronto and then complete one project and one simulation test, earning a score of 80% minimum on the latter.
Online Self-learning: You must finish 85% of the Big Data and Hadoop course in Toronto, complete one project, and score 80% grade or higher on one simulation test.
The Big Data and Hadoop training in Toronto comprises between 45 to 50 hours of active study.
Simplilearn offers its Big Data and Hadoop training in Toronto students guidance and support to help them pass the CCA175 Hadoop certification exam. You should be fully prepared to pass on the first attempt. But if you do fail, you still get a maximum of three more attempts to successfully pass the exam.
Certification through the Big Data and Hadoop training in Toronto from Simplilearn is valid for a lifetime.
Students who take and finish the Big Data and Hadoop training in Toronto, and then fail the CCA175 Hadoop certification exam, have to wait 30 calendar days to retake the exam.
After passing the CCA175 Hadoop certification exam, in a couple of days you will get an email with your digital certificate and license number.
The fee for the CCA 175 Spark and Hadoop Developer exam is USD 295.
Simplilearn offers every Big Data and Hadoop training in Toronto student one practice exam to prepare them for the CCA175 Hadoop certification exam. Take this free Big Data and Hadoop Developer Practice Test so you know what kind of tests you’ll face in the course curriculum.
The trainer was knowledgeable and patient in explaining things. Many things were significantly easier to grasp with a live interactive instructor. I also like that he went out of his way to send additional information and solutions after the class via email.
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 in Toronto 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 Hadoop 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.
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.
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.
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.
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.
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
You will use Simplilearn’s CloudLab to complete projects.
The tools you’ll need to attend Big Data Hadoop training are:
We offer training for this Big Data course in the following modes:
You can enroll for this Big Data Hadoop certification training course on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
All of our highly qualified Hadoop certification trainers are industry Big Data experts with at least 10-12 years of relevant teaching experience in Big Data Hadoop. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating continue to train for us.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours for this Big Data Hadoop training course.
We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us to discuss Big Data and Hadoop topics.
Yes, you can learn Hadoop without being from a software background. We provide complimentary courses in Java and Linux so that you can brush up on your programming skills. This will help you in learning Hadoop technologies better and faster.
Online classroom training for the Big Data Hadoop certification course is conducted via online live streaming of each class. The classes are conducted by a Big Data Hadoop certified trainer with more than 15 years of work and training experience.
If you enroll for self-paced e-learning, you will have access to pre-recorded videos. If you enroll for the online classroom Flexi Pass, you will have access to live Big Data Hadoop training conducted online as well as the pre-recorded videos.
Yes, Simplilearn’s Big Data Hadoop course and training materials are very much effective and will help you pass the CCA175 Hadoop certification exam.
The average salary of a Big data and Hadoop engineer in Toronto is CA$87,105 per year. You can get an excellent job with a lucrative salary package by completing the Big data and Hadoop training in Toronto.
A number of major and reputed companies such as Apple, Amazon, Capgemini, and Pinterest are hiring Data Engineers in Toronto. If you have completed the big data and Hadoop training in Toronto, it will boost your chances of getting job offers from these top companies.
The major industries which play a notable role in heightening the economy of Toronto are pretty diversified. From the technology domain, design, arts, and fashion to financial services, life sciences, aerospace, and environmental innovation, a varied range of fields are active in Toronto.
If you have a background in IT or computer science engineering and are eager to learn about the trending topics and certification courses related to your field, it won’t be tough to become a Data Engineer. Enroll in a course for getting your big data and Hadoop training in Toronto and ace the certification course with complete dedication. That will help you make a bright career as a Data Engineer in Toronto.
Reputed educational platforms offer several online as well as offline courses. The course content, eligibility criteria, duration, and course fees vary highly from one course to another as each of them is designed to fulfill specific needs. So choose the right course according to your goals and prior skills and complete the big data and Hadoop training in Toronto as it will help you flourish more in terms of your job prospects.
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.
There are basically three concepts associated with Big Data - Volume, Variety, and Velocity. The volume refers to the amount of data we generate which is over 2.5 quintillion bytes per day, much larger than what we generated a decade ago. Velocity refers to the speed with which we receive data, be it real-time or in batches. Variety refers to the different formats of data like images, text, or videos.
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 capital city of the Canadian province of Ontario, Toronto, has a population of 2,731,571, according to the 2016 Census reports. The high population makes Toronto the most populous city in Canada and also the fourth most populous city in North America. The population density of this city is 11,226 per sq mi. Toronto has a GDP of CA$385.1 billion and has a GDP per capita of CA$57,004, according to the 2016 records. Toronto has an elevation of 251 ft above sea level, and it experiences a humid continental climate, which means the summers are quite hot and humid. At the same time, the winters are chilling and cold. Toronto is home to the major national broadcast networks and media outlets of Canada, and it is also a notable place for theatre, music, and motion picture production.
The city of Toronto has a rich historical background and a charming cultural ambiance that attracts tourists from all around the globe. You can enjoy the historical landmarks as well as the vibrant nightlife in the city. It is one of the best places to visit and for you to enjoy with your family any time during the year.
Some of the best landmarks to explore in Toronto are: