Big Data Hadoop Certification Training Course in Washington, DC

Big Data Hadoop Training FAQs

• What are the Benefits of Big Data Hadoop Certification?

  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.

  

• Why Should you take this Hadoop Certification Course?

  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.

• What will you learn in this Big Data Hadoop Training?

  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:

  • Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.
  • Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management
  • Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts
  • Ingest data using Sqoop and Flume
  • Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
  • Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
  • Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
  • Understand and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
  • Gain a working knowledge of Pig and its components
  • Do functional programming in Spark, and implement and build Spark applications
  • Understand resilient distribution datasets (RDD) in detail
  • Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
  • Understand the common use cases of Spark and various interactive algorithms
  • Learn Spark SQL, creating, transforming, and querying data frames
  • Prepare for Cloudera CCA175 Big Data certification
     

• Who can take this Big Data Hadoop Training Course in Washington ?

  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:

  • Software Developers and Architects
  • Analytics Professionals
  • Senior IT professionals
  • Testing and Mainframe Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspiring Data Scientists
  • Graduates looking to build a career in Big Data Analytics

• What projects are included in this Big Data Hadoop online training course?

  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.

• How will this Big Data Training help you in scaling up your career in Washington?

  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

• What types of jobs are ideal for Big Data Hadoop certified professionals?

  Upon completion of the Big Data Hadoop training course, you will have the skills required to help you land your dream job, including:

  • IT professionals
  • Data scientists
  • Data engineers
  • Data analysts
  • Project managers
  • Program managers

• What are different job roles available for Hadoop Professionals in Washington?

  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:

  • Data analyst
  • Data scientist
  • Big Data testing engineer
  • Big Data Engineer
  • Data Architect

• What is scope for Big Data Hadoop in Washington?

  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.

• Which Companies/ Startups in Washington are hiring Big Data Hadoop Professionals?

  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.

• What is the salary for a HADOOP Certified Professional in Washington?

  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.

• What are the system requirements for this Big Data Course?

  The tools you’ll need to attend Big Data Hadoop training are:

  • Windows: Windows XP SP3 or higher
  • Mac: OSX 10.6 or higher
  • Internet speed: Preferably 512 Kbps or higher
  • Headset, speakers, and microphone: You’ll need headphones or speakers to hear instructions clearly, as well as a microphone to talk to others. You can use a headset with a built-in microphone, or separate speakers and microphone.

• What are the modes of training offered for this Big Data course?

  We offer training for this Big Data course in the following modes:

  • Live Virtual Classroom or Online Classroom: Attend the Big Data course remotely from your desktop via video conferencing to increase productivity and reduce the time spent away from work or home.
  • Online Self-Learning: In this mode, you will access the video training and go through the Big Data course at your own convenience.

• Can I cancel my enrollment? Do I get a refund?

  Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

• Are there any group discounts for online classroom training programs?

  Yes, we have group discount options for our training programs. Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide more details.

• How do I enroll for the Big Data Hadoop certification training course?

  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:

  • Visa Credit or Debit Card
  • MasterCard
  • American Express
  • Diner’s Club
  • PayPal

  Once payment is received you will automatically receive a payment receipt and access information via email.

• Who are our faculties and how are they selected?

  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.

• What is Global Teaching Assistance?

  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.

• What is covered under the 24/7 Support promise?

  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 I am not from a programming background but have a basic knowledge of programming, can I still learn Hadoop?

  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.

• What if I miss a class?

  • Simplilearn has Flexi-pass that lets you attend Big Data Hadoop course training classes to blend in with your busy schedule and gives you an advantage of being trained by world-class faculty with decades of industry experience combining the best of online classroom training and self-paced learning
  • With Flexi-pass, Simplilearn gives you access to as many as 15 sessions for 90 days

• What is online classroom training for Big Data Course?

  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.

• Is this Big Data course a live training, or will I watch pre-recorded videos?

  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.

• Are the training and course material effective in preparing for the CCA175 Hadoop certification exam?

  Yes, Simplilearn’s Big Data Hadoop course and training materials are very much effective and will help you pass the CCA175 Hadoop certification exam.

• What is Big data?

  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. 

• What is Hadoop?

  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.

• What is Spark?

  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.

• What is the Big Data concept?

  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.

• How can beginners learn Big Data and 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.

• What is the recommended learning path after completing Big Data Hadoop certification course?

  If you are looking to get the University certificate, you can enroll in the Data Engineering Certification Program.