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.
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Enrolling in Big Data and Hadoop Training in Bhopal promises to pay off handsomely. Consider that in 2019, the global HADOOP-AS-A-SERVICE (HAAS) market grew to USD 7.35 Billion. Experts say the market will grow at a CAGR of 39.3%, reaching USD 74.84 Billion by 2026. Taking Big Data and Hadoop Training in Bhopal is a solid way to enter this growing field.
When you complete the Big Data and Hadoop course in Bhopal, Simplilearn will present you with the course completion certificate. The Big Data and Hadoop training in Bhopal 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 Bhopal 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. This Big Data and Hadoop training in Bhopal teaches the valuable Hadoop ecosystem tools including Hive, HBase, MapReduce, Kafka, Flume, HDFS, and plenty of others; all with the intent of helping you become an expert data engineer.
Online Classroom: You need to attend one complete batch of Big Data and Hadoop training in Bhopal and then complete one project and one simulation test, earning a score of 80% minimum on the latter.
Online Self-learning: Learners are required to complete 85% of the Big Data and Hadoop course in Bhopal, successfully complete a project, and earn 80% or higher on their practice test.
The Big Data and Hadoop training in Bhopal comprises between 45 to 50 hours of active study.
Simplilearn gives learners in its Big Data and Hadoop training in Bhopal course the tools to pass their 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 Bhopal from Simplilearn is valid for a lifetime.
The Big Data Hadoop Certification course in Bhopal is designed to give you 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 Certification training in Bhopla will help you to become a Certified Hadoop & Apache Spark Developer. It will help you in mastering big data & Hdoop 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 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 Big Data Hadoop Training course 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.
Domain: BFSI
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 Bhopal 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 one from this various positions frequently offered by different Companies in Bhopal. Here’s a list of few Big Data roles: