The Big Data and Hadoop training in Seattle gives you vital knowledge of Big Data’s framework. Simplilearn's Big Data and Hadoop course in Seattle uses tools in its hands-on Integrated Labs such as Spark and Hadoop in its real-world industry projects. The Big Data and Hadoop course in Seattle provides marketable experience in handling Big Data.
Students taking this course offering Big Data and Hadoop Training in Seattle are making a savvy decision. The HADOOP-AS-A-SERVICE (HAAS) market hovered as high as USD 7.35 billion in 2019. Experts say this market will grow at a CAGR of 39.3%, reaching USD 74.84 Billion by 2026. That’s why you need Big Data and Hadoop Training in Seattle.
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.
Simplilearn gives you a course completion certificate when you finish the Big Data and Hadoop course in Seattle. To earn the CCA175 - Spark and Hadoop certificate from Cloudera, you must pass a separate exam. The Big Data and Hadoop training in Seattle prepares you for that exam.
With the Big Data and Hadoop training in Seattle, students gain a thorough understanding of the Hadoop ecosystem, and learn the list of Big Data tools and methods to apply their training in the workplace as big data engineers. Simplilearn’s course completion certification calls attention to your newly acquired Big Data skills and related on-the-job, hands-on expertise. With Big Data and Hadoop training in Seattle, students learn to use the tools utilized in Hadoop’s ecosystem to grow in their data engineering career. These tools include Flume, Hive, Kafka, MapReduce, HBase, HDFS, and more.
There are no prerequisites for learning this course. However, knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush up your Core-Java skills, Simplilearn offers a complimentary self-paced course "Java essentials for Hadoop" when you enroll for this course. For Spark, this course uses Python and Scala, and an e-book is provided to support your learning.
Online Classroom: Each enrollee is required to attend at least one complete batch of Big Data and Hadoop training in Seattle, must complete one project, and earn 80% or higher on one practice exam.
Online Self-learning: Students are required to complete 85% of the Big Data and Hadoop course in Seattle, successfully finish a project, and gain a score of 80% or higher on a practice test.
Successful completion of the Big Data and Hadoop training in Seattle takes from 45 to 50 hours.
Simplilearn provides you with support and guidance for taking the CCA175 Hadoop certification exam. By taking Big Data and Hadoop training in Seattle, learners will be given the instruction and practice required to successfully complete their certification exam. But in the event that you do fail, you’ll receive three more attempts to successfully ace the exam.
Big Data and Hadoop training in Seattle certification from Simplilearn has lifetime validity.
If you complete the Big Data and Hadoop training in Seattle, and fall short of passing the CCA175 Hadoop certification exam, in 30 days, you can take the exam again.
When you pass the CCA175 Hadoop certification exam, you will get your PDF-formatted digital certificate as well as your license number by email. These items will come within a couple of days of your passing the exam.
It costs USD 295 to take the CCA 175 Spark and Hadoop Developer exam.
Big Data and Hadoop training in Seattle students get one practice exam to get better prepared for the actual CCA175 Hadoop certification test. Take the free Big Data and Hadoop Developer Practice Test for a preview of the kind of tests you can expect 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 Seattle city. 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 course is priced at $799 for Online Classroom Flexi-Pass.
Simplilearn’s Hadoop Certification Training offered from Seattle is the Online Classroom Flexi-Pass that has a validity of 180 days (6 months) of high-quality e-learning videos plus 90 days of access to 12+ instructor-led online training classes.
The Big Data Hadoop Certification course 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 in Seattle will prepare you for the Cloudera CCA175 big data certification.
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 in Seattle city, USA. 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:
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. If this salary trend is anything to go by, then the demand for data professionals has never been higher.
Several companies in Seattle are on the lookout for Big Data professionals. According to Indeed, some of the top companies looking out for big data professionals in Seattle are Microsoft, Experian, Amazon, AOL, Cisco, Xerox, SAP, Service Now, Boing etc
According to ZipRecruiter, entry-level big data professionals in the U.S. can earn $119,000 per year. However, a big data professional with experience can earn up to $190,000 in Seattle. However, this salary can go upto $183,000 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.
A professional with less than one year of experience can earn an average salary of $105076 after completing Big Data And Hadoop Training in Seattle. Organizations that want to take advantage of Big Data's potential are looking for people with experience in the sector. Hence, there are a lot of opportunities to earn well.
Candidates with Big Data and Hadoop knowledge and experience are in high demand in Seattle. You can finish Big Data And Hadoop Training in Seattle and work for organizations like Accenture, Expedia.com, Zoom, Accolade, Facebook, Amazon, Zillow, Apple, KPMG LLP, and others.
Despite the fact that the aerospace and IT industries are prominent in Seattle, most people are unaware that health care and finance are the largest employers. Because Seattle places a high value on technology, there is an increased need for people with Big Data and Hadoop Training in Seattle.
Big data engineers typically hold a bachelor's degree and, in many cases, a master's degree. You can enroll in a certification course to improve your Big Data skills. A Big Data and Hadoop training in Seattle will help you improve your skills and get you a job in Seattle.
Once you've completed your bachelor's degree, you can go online and search for Big Data courses in Seattle. Make sure you conduct thorough research on institutes that provide Big Data Hadoop training in Seattle. After reading their curriculum, choose a course that is fit to cater to your learning needs.
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.
Seattle is the largest city in the United States' Pacific Northwest region. In 2018, the city's population was expected to be 742,235, with a metropolitan population of 3.9 million. The Emerald City is the outcome of a contest held by a civic-minded organization in the early 1980s to choose a pleasant nickname for the city; the moniker relates to the surrounding area's lush evergreen trees. Seattle is known for its heavy coffee consumption and as the origin of grunge music; coffee firms founded in Seattle, including Starbucks. It is a must-visit place for people who want to learn new skills especially Big Data and Hadoop Training in Seattle. This is because it is the most popular skill that people come to learn here.
Seattle, once a relatively drab port and industrial area, has undergone a remarkable transition into Washington's largest metropolis. It is now a dynamic, forward-thinking city at the vanguard of innovation, thanks in part to its thriving economy. Seattle's job market is well-known as well. Several professional courses, like Big Data and Hadoop training in Seattle, are available on the market to prepare students for entry into the industry.
1455 NW Leary Way, Suite 400 Seattle, WA 98107 United States