The Big Data Hadoop certification training 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.
Professionals who sign up for Big Data and Hadoop course in Denver are making a smart career decision in a growing market. For example, in 2019, the global HADOOP-AS-A-SERVICE (HAAS) market rose to USD 7.35 Billion. Experts believe this market will increase at a CAGR of 39.3%, soaring to USD 74.84 Billion by 2026. Enrolling in the Big Data and Hadoop Training in Denver course is the right way to gain entry into this growing profession.
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 Denver, Simplilearn will present you with the course completion certificate. The Big Data and Hadoop training in Denver 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 Denver 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 Denver shows you how to use the tools used in the Hadoop ecosystem such as Flume, Kafka, HBase, Hive, HDFS, MapReduce, and others; tools that will transform you into a data engineering expert.
Online Classroom: You need to attend one complete batch of Big Data and Hadoop training in Denver and then complete one project and one simulation test, earning a score of 80% minimum on the latter.
Online Self-learning: Enrollees must successfully complete 85% of the Big Data and Hadoop course in Denver, work on and finish a project, and get a score of 80% or higher on their practice exam.
The Big Data and Hadoop training in Denver comprises between 45 to 50 hours of active study.
Simplilearn designs its course to gives its Big Data and Hadoop training in Denver students everything they need to successfully pass the CCA175 Hadoop certification test. 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 Denver from Simplilearn is valid for a lifetime.
If you finish the Big Data and Hadoop training in Denver course, and then fail to pass the CCA175 Hadoop certification exam, you just have to wait to retake the test again in 30 days.
Once you complete and pass the CCA175 Hadoop certification exam, two days later an email with your digital certificate and license number will arrive.
The fee for the CCA 175 Spark and Hadoop Developer exam is USD 295.
Simplilearn students get one free practice exam as part of their Big Data and Hadoop training in Denver course to get them ready to pass 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 global Big Data and data engineering services market is expected to grow at a CAGR of 31.3 percent by 2025, so this is the perfect time to pursue a career in this field.
The world is getting increasingly digital, and this means big data is here to stay. 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 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, the median salary for a data engineer is $137,776, with more than 130K jobs in this field worldwide. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.
According to Forbes, Big Data & Hadoop Market is expected to reach $99.31B by 2022.
This 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, Flume, and Kafka for data ingestion with our significant data training.
You will master Spark and its core components, learn Spark’s architecture, and use Spark cluster in real-world - Development, QA, and Production. With our Big Data Hadoop course, you will also use Spark SQL to convert RDDs to DataFrames and Load existing data into a DataFrame.
As a part of the Big Data Hadoop course, you will be required to execute real-life, industry-based projects using Integrated Lab in the domains of Human Resource, Stock Exchange, BFSI, and Retail & Payments. This Big Data Hadoop training course will also prepare you for the Cloudera CCA175 significant Big Data certification exam.
Big Data Hadoop certification training will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. By the end of this course, you will be able 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.
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:
Upon completion of the Big Data Hadoop training course, you will have the skills required to help you land your dream job, including:
Big Data jobs in Denver are present a dime a dozen, which spells good news for certified Hadoop professionals. A quick search on Indeed will tell you that over 17000+ 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 Forrester, Hadoop’s utilization in an organization increases 32.9% every year. Similarly, a survey conducted in 2017 states the impending importance of data discovery and data visualization in organizations across the globe. According to this report, big data will play a significant role in all decisions made by organizations in the future.
According to Payscale, a big data analyst specializing/certified in Hadoop can earn up to $140,000. If this salary trend is anything to go by, then the demand for data professionals has never been higher.
Several companies in Denver are on the lookout for Certified Big Data Hadoop professionals. According to Indeed, some of the top companies looking out for big data professionals in Denver are the oracle, KPMG, DICE, Pearson, IBM, Micro Systems, AOL etc.
According to ZipRecruiter, Glassdoor entry-level big data professionals in the U.S. can earn $76,000 per year. However, a big data professional with experience can earn up to $127,000 in Denver City. However, this salary can go up to $158,000 Colorado.
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.
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.
Keeping up with the Big Data & Analytics boom, Simplilearn has tailored very comprehensive Big Data certification programs which ensures a complete development as a Big Data professional in Denver City.
Few of the courses offered around Big Data are:
In addition to the above, Simpliearn has created Big Data Hadoop Architect Masters Program on Big Data which follows a curated learning path.
Simplilearn also offers the following Masters program with respect to Data Science and Business Intelligence:
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 training and course materials are very much effective and will help you pass the CCA175 Hadoop certification exam.
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.
Our Big Data Hadoop certification training course allows you to learn Hadoop's frameworks, Big data tools, and technologies for your career as a big data developer. The course completion certification from Simplilearn will validate your new big data and on-the-job expertise. The Hadoop certification trains you on Hadoop Ecosystem tools such as HDFS, MapReduce, Flume, Kafka, Hive, HBase, and many more to be a Data Engineering expert.
Hadoop is an open-source software environment that stores data and runs on commodity hardware clusters. It offers a large amount of storage, a huge processing capacity, and the ability to conduct nearly unlimited concurrent tasks or jobs. Hadoop course is meant to make you a certified big data practitioner by offering you extensive practical training in the Hadoop Ecosystem.
No, Big Data Hadoop isn't difficult to learn. Apache Hadoop is a significant ecosystem with several technologies ranging from Apache Hive to Hbase, MapReduce, HDFS, and Apache Pig. So you should know these technologies to understand Hadoop. Use the integrated lab to carry out real-life, business-based projects with Simplilearn's hands-on Hadoop course.
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Hadoop is the leading technological framework used by a company for leveraging big data. It is incredibly challenging to take your first step towards big data. Therefore, before you obtain your certification, it is vital to grasp the basics of technology. To help you understand the Hadoop environment and cover your essential information, Simplilearn offers free resource articles, tutorials, and YouTube video clipboards. You will get started with big data from our extensive Big Data Hadoop training program.
There is a need for Hadoop skills - this is evident! There is now an urgent need for IT professionals to stay up with Hadoop and Big Data technologies. Our Hadoop training gives you the means to boost your profession and offers you the following benefits:
In Big Data, you will also discover numerous profiles to build on your career in distinct Big Data profiles, like Hadoop Developer, Hadoop Admin, Hadoop Architect, and Big Data Analyst, along with their tasks and responsibilities, skills, and experience. Hadoop certification will help you land in these roles for a promising career.
Hadoop developers are responsible for the development and coding of applications. Hadoop is an open-source environment for managing and storing big data systems applications running within-cluster systems. A Hadoop developer essentially designs programs to manage and maintain big data for a firm. The Hadoop certification provides you with detailed knowledge of Hadoop and Spark's Big Data infrastructure.
Professionals enrolling for Hadoop certification training should have a basic knowledge of Core Java and SQL. Simplilearn offers a self-paced course of Java essentials for Hadoop in the course curriculum if you want to boost your Core Java skills.
Not only are Hadoop jobs offered by IT companies, but various sorts of companies use highly paid Hadoop candidates, including financial firms, retail, bank, and healthcare. The Hadoop course can help you carve out your career in the big data business and take top Hadoop jobs.
Top firms, namely Oracle, Cisco, Apple, Google, EMC Corporation, IBM, Facebook, Hortonworks, and Microsoft, have several Hadoop job titles with various positions in almost all cities of India. With Hadoop certification, the candidates are validated with high-level knowledge, skills, and an in-depth understanding of Hadoop tools and concepts.
Joining Hadoop training is a quick resource to learn Hadoop. You can ensure that you get in no time what is required and the basics of powerful Hadoop technology. The second-best approach to learn Hadoop is to understand the most fantastic books, and here are some books to get started.
Coming to the big data analytics salary, in most locations and nations, big data specialists' pay and compensation trends are improving continually over and above the profiles of other software engineering industries. Suppose you want a big leap in your career. In that case, this is the most significant moment to gain Hadoop certification to master big data skills. The average median salary of Big data Hadoop professionals across the world as per PayScale are: