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.
Enrolling in Big Data and Hadoop Training in Washington 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 Washington is a solid way to enter this growing field.
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.
When you complete the Big Data and Hadoop course in Washington, Simplilearn will present you with the course completion certificate. The Big Data and Hadoop training in Washington is designed to equip you to pass Cloudera’s exam to get a CCA175 - Spark and Hadoop certificate.
To succeed as a Big Data and Hadoop training in Washington 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 Washington 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 Washington 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 Washington, successfully complete a project, and earn 80% or higher on their practice test.
The Big Data and Hadoop training in Washington comprises between 45 to 50 hours of active study.
Simplilearn gives learners in its Big Data and Hadoop training in Washington 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 Washington from Simplilearn is valid for a lifetime.
If you complete the Big Data and Hadoop training in Washington, and then don't pass the CCA175 Hadoop certification exam, you are eligible to retake the test in 30 days.
Once you pass the CCA175 Hadoop certification exam, in about two days your digital certificate will arrive by email, along with your license number
The fee for the CCA 175 Spark and Hadoop Developer exam is USD 295.
Students enrolled in Big Data and Hadoop training in Washington are given one practice test 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 in the USA. 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 Washington 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 in Washington, 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 in Washington 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 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:
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
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 Washington are present a dime a dozen, which spells good news for 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 in Hadoop can earn up to $140,000 in washington. If this salary trend is anything to go by, then the demand for data professionals has never been higher in Washington city and around.
Several companies in Washington are on the lookout for Certified Big Data professionals. According to Indeed, some of the top companies looking out for big data professionals in Washington are Microsoft, Boeing, Amazon, Facebook, HCL, Pro Karma etc.
According to ZipRecruiter, entry-level big data professionals in the U.S. can earn $77,000 per year. However, a big data professional with experience can earn up to $150,000 in Washington city. However, this salary can go upto $180,000 in Washington state.
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.
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.
If you are looking to get the University certificate, you can enroll in the Data Engineering Certification Program.
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