The Big Data Hadoop training in Chandigarh 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.
Upskilling in Big Data and Analytics field is a smart career decision.The global HADOOP-AS-A-SERVICE (HAAS) Market in 2019 was approximately USD 7.35 Billion. The market is expected to grow at a CAGR of 39.3% and is anticipated to reach around USD 74.84 Billion by 2026. alone.
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.
Upon successful completion of the Big Data Hadoop training in Chandigarh, you will be awarded the course completion certificate from Simplilearn. To get a CCA175 - Spark and Hadoop certificate from Cloudera, you need to clear the exam.
This Big Data Hadoop training in Chandigarh will give you insights into the Hadoop ecosystem and Big Data tools and methodologies to prepare you for success in your role as a Big Data Engineer. The course completion certification from Simplilearn will attest to your new Big Data skills and on-the-job expertise. The Hadoop certification will train you on Hadoop ecosystem tools, such as HDFS, MapReduce, Flume, Kafka, Hive, HBase and much more to become an expert in data engineering.
It will take about 45-50 hours to complete the Big Data Hadoop certification online course successfully.
While Simplilearn provides guidance and support to help learners pass the CCA175 Hadoop certification exam in the first attempt, if you do fail, you have a maximum of three retakes to successfully pass.
The Big Data Hadoop course certification from Simplilearn has lifelong validity.
If you fail the CCA175 Hadoop certification exam, you must wait for 30 calendar days beginning the day after your failed attempt, before you retake the same exam.
If you pass the CCA175 Hadoop certification exam, you will receive your digital certificate(as a pdf) along with your license number in an email within a few days of your exam.
The cost of the CCA 175 Spark and Hadoop Developer exam is USD 295.
Yes, we provide 1 practice test as part of our course to help you prepare for the CCA175 Hadoop certification exam. You can try this free Big Data and Hadoop Developer Practice Test to understand the type of tests that are part of the course curriculum.
Ameet, I appreciate your patience and efforts in explaining topics multiple times. You always ensure that each participant in your class understands the concepts, no matter how many times you need to explain them. You also shared great real-life examples. Thank you for your efforts.
I joined Simplilearn to explore more about the upcoming Technology. Just 1 month of course along with sufficient practice landed me a job in a Top IT MNC. I never thought an experienced person can start as fresher in Bigdata, but Simplilearn made it happen. Thank you Simplilearn.
I have enrolled for Big Data Hadoop Spark developer course from Simplilearn. The course was well organized, covering all the root concepts and relevant real-time experience. The trainer was well equipped to solve all the doubts during the training. Cloud lab facility and materials provided were on point.
Very patient and knowledgeable training staff. Step by step learning with practical sessions which give us an in-depth understanding. Additional Video classes, PDF's and Recordings of training help us in a great way. The host and the support team are very proactive and helpful in solving queries. Great way to go!!! Just awesome!
Simplilearn is one of the best cost-effective solutions to learn online. I enrolled in their Big Data Hadoop and Spark Developer course. The course content was really nice. The certification helped me to land a job in Pixere Consulting Pvt Ltd. as Software Engineer.
I have enrolled for Big-Data Hadoop and Spark Developer from Simplilearn. The course was explained using very simple and real-time analogies which helped me to understand the concepts and also do exercises easily. The trainer was really helpful and was always willing to share the knowledge with the wider audience. I highly recommend Simplilearn.
I have enrolled in Big Data Hadoop and Spark Developer from Simplilearn. I like the teaching way of the trainers. He was very helpful and knowledgeable. Overall I am very happy with Simplilearn. Their cloud labs are also very user-friendly. I would highly recommend my friends to take a course from here and upskill themselves.
The trainer was very good and engaging. He was patient and answered every question quickly and accurately. Overall it was a great experience. The test system after class and the videos were awesome. The support extended by the staff was commendable.Keep it up!!!
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.
Yes, Simplilearn’s Big Data Hadoop training and course materials are very much effective and will help you pass the CCA175 Hadoop certification 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. Simplilearn's Big Data Hadoop training in Chandigarh helps you in preparing Cloudera CCA175 Hadoop certification exam.
The Big Data Hadoop training in Chandigarh 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 Hadoop certification exam.
Big Data Hadoop training in Chandigarh will help you to become a Certified Hadoop & Apache Spark Developer. It will help you in mastering big data & Hadoop skills by offering you comprehensive knowledge on Hadoop framework, and the required hands-on experience for solving real-time industry-based Big Data projects. During Big Data & Hadoop course you will be trained by our expert instructors to:
Big Data career opportunities in Chandigarh are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training in Chandigarh is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including:
The Big Data Hadoop training in Chandigarh includes four real-life, industry-based projects. Following are the projects that you will be working on:
Project 1: Analyzing employee sentiment
Objective: To use Hive features for data analysis and sharing the actionable insights into the HR team for taking corrective actions.
Domain: Human Resource
Background of the problem statement: The HR team is surfing social media to gather current and ex-employee feedback or sentiments. This information gathered will be used to derive actionable insights and take corrective actions to improve the employer-employee relationship. The data is web-scraped from Glassdoor and contains detailed reviews of 67K employees from Google, Amazon, Facebook, Apple, Microsoft, and Netflix.
Project 2: Analyzing Intraday price changes
Objective: To use hive features for data engineering or analysis and sharing the actionable insights.
Domain: Stock Exchange
Background of the problem statement: NewYork stock exchange data of seven years, between 2010 to 2016, is captured for 500+ listed companies. The data set comprises of intra-day prices and volume traded for each listed company. The data serves both for machine learning and exploratory analysis projects, to automate the trading process and to predict the next trading-day winners or losers. The scope of this project is limited to exploratory data analysis.
Project 3: Analyzing Historical Insurance claims
Objective: To use the Hadoop features for data engineering or analysis of car insurance, share patterns, and actionable insights.
Background of the problem statement: A car insurance company wants to look at its historical data to understand and predict the probability of a customer making a claim based on multiple features other than MVR_POINTS. The data set comprises 10K plus submitted claim records and 14 plus features. The scope of this project is limited to data engineering and analysis.
Project 4: Analyzing Product performance
Objective: To use the Big data stack for data engineering for the analysis of transactions, share patterns, and actionable insights.
Domain: Retail & Payments
Background of the problem statement: Amazon wants to launch new digital marketing campaigns for various categories for different brands to come up with new Christmas deal to:
1. Increase their sales by a certain percentage.
2. Promote products which are the least selling
3. Promote products which are giving more profits
They have provided a transactional data file that contains historical transactions of a few years along with product details across multiple categories. As an analytics consultant, your responsibility is to provide valuable product and customer insights to the marketing, sales, and procurement teams. You have to preprocess unstructured data into structured data and provide various statistics across products or brands or categories segments and tell which of these segments will increase the sales by performing well and, which segments need an improvement. The scope of this project is limited to data engineering and analysis.
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:
Big Data jobs in Chandigarh are present a dime a dozen, which spells good news for professionals. A quick search on Naukri will tell you that over 7000+ big data jobs across the country are posted on this platform alone. With a Big Data certificate, you could choose from various designations. Here’s a list of Big Data roles:
According to TeamLease, a staffing solutions company, a data scientist with an average working experience of about 5 years has the potential to earn about 75 lakhs per annum, while CAs with the same level of experience earn about 8-15 lakhs and engineers earn 5-8 lakhs. If this salary trend is anything to go by, then the demand for data professionals has never been higher.
In 2017, a report by Analytics India Magazine highlighted the rising trend of data-oriented jobs. According to this report, the number of big data jobs in India almost doubled in 2017, and over 50,000 positions are yet to be filled.
According to Payscale, Big Data and Hadoop professionals with experience can earn up to 27 lakhs.
We offer this training in the following modes:
You can enroll for this Big Data Hadoop certification training 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.
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.
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.
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.
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.