9/10 of our learners achieve their learning objectives after successful course completion*
The Big Data and Hadoop training in Phoenix gives you vital knowledge of Big Data’s framework. The hands-on Integrated Labs in this Big Data and Hadoop course in Phoenix uses tools such as Spark and Hadoop along with industry-themed projects. The Big Data and Hadoop course in Phoenix provides marketable experience in handling Big Data.
Enrolling in Simplilearn's Big Data and Hadoop Training in Phoenix is smart career move. Consider that the HADOOP-AS-A-SERVICE (HAAS) market hovered around 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 Phoenix.
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 Phoenix. To earn the CCA175 - Spark and Hadoop certificate from Cloudera, you must pass a separate exam. The Big Data and Hadoop training in Phoenix prepares you for that exam.
The Big Data and Hadoop training in Phoenix gives students expertise working in the Hadoop environment, and includes an abundance of Big Data tools and approaches to prepare them for big data engineering success. Simplilearn’s course completion certification calls attention to your newly acquired Big Data skills and related on-the-job, hands-on expertise. The Big Data and Hadoop training in Phoenix provides a thorough understanding of the tools used in Hadoop’s environment such as Kafka, Flume, MapReduce, Hive, HDFS, HBase, and others, each geared toward helping learners become better data engineering experts.
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 student must attend a minimum of one complete batch of Big Data and Hadoop training in Phoenix, must finish one project, and compile an 80% score on one simulation test.
Online Self-learning: A minimum requirement is to finish 85% of the Big Data and Hadoop course in Phoenix, finish one project, and achieve a score of 80% or greater on one simulation test.
Successful completion of the Big Data and Hadoop training in Phoenix takes from 45 to 50 hours.
Simplilearn provides you with support and guidance for taking the CCA175 Hadoop certification exam. The Big Data and Hadoop training in Phoenix is geared to provide students with all the knowledge they need to pass the exam with flying colors on the first attempt. 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 Phoenix certification from Simplilearn has lifetime validity.
If you finish the Big Data and Hadoop training in Phoenix, and then fail the CCA175 Hadoop certification test, you can retake the test again in 30 days.
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.
Yes, Simplilearn gives Big Data and Hadoop training in Phoenix students one simulation exam to help them become familiar with the actual CCA175 Hadoop certification exam. 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.
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.
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.
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 in Phoenix 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 the 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 in Phoenix will also prepare you for the Cloudera CCA175 significant Hadoop certification exam.
Big Data Hadoop certification training in Phoenix 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 in Phoenix is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including:
The Big Data Hadoop training in Phoenix 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 in Phoenix, you will have the skills required to help you land your dream job, including:
Big Data jobs in Phoenix 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 by 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.
According to ZipRecruiter, 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 the Phoenix. However, this salary can go up to $158,000 in Georgia 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.
The average salary procured by a data engineer with Big data analytics skills in Phoenix is $94,058 per year. An individual in this job role can earn somewhere between $85k - $112k per annum. Based on the level of experience and skill set, the salary varies. Thus big data and Hadoop training in Phoenix will create a bright opportunity to earn more.
The companies hiring a data engineer with Big data analytics skills will recruit individuals who possess excellent knowledge to develop technical solutions and improve easy access to data and data usage. Some major companies that look for these professionals are CVS health, Accenture, Saama, Snowflake, Insight, and Big data center. Big Data and Hadoop Training in Phoenix will help you to get employed in one of the firms.
The economic growth of Phoenix is geared majorly by the financial services and banking sectors. Any individual with Big Data and Hadoop Training in Phoenix can get a job in these industries. Phoenix is home to banks such as American Express, Chase Bank, and Bank of America. The other significant industries are radios, mobile homes, beer, liquor, saddles and leather goods, apparel, native American and Mexican novelties, electronic equipment, steel castings, and fabrications.
As a data engineer with big data analytic skills, you must have a strong base in software engineering on how to build Big data infrastructure. With Big Data and Hadoop Training in Phoenix, you can perform in a better manner.
Here is how you can become a data engineer with big data analytic skills in Phoenix,
A course can enhance your skills and make you excel in your respective field. However, you can get confused in choosing the right one.
Here are some tips for finding Big Data and Hadoop training courses in Phoenix,
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.
If you are looking to get the University certificate, you can enroll in the Data Engineering Certification Program.
Phoenix, known as the ‘Valley of the Sun’, is situated in the southwestern United States. It is the capital city of Arizona. Being the largest city in the state, Phoenix covers an area of 519 miles. The estimated population of this city is 1,733,630. Phoenix experiences a low amount of rainfall perennially. As per the Statista research Department, the GDP of the city’s metropolitan area was $237.4billion in 2019. Located in the northeastern region of the Sonoran Desert, Phoenix has a hot desert climate with long summers. Phoenix is the cultural center of the state. Cotton, cattle, citrus, climate, and copper are a significant part of the city. Phoenix is the home to several fine art facilities. The Phoenix Art Museum is a must place to be visited for its collection of Southwestern art.
A few places to be visited are,