The Big Data and Hadoop Training in Minneapolis will equip you with in-depth knowledge of Big Data’s framework using tools such as Hadoop and Spark. In Simplilearn's hands-on Big Data and Hadoop training in Minneapolis, students get to use the Integrated Lab to tackle authentic, industry-relevant projects. This way, students get actual experience working with Big Data.
Big Data and Hadoop Training in Minneapolis can help your career. The global HADOOP-AS-A-SERVICE (HAAS) Market in 2019 was about USD 7.35 Billion, and promises to keep rising. Predictions have the market growing at a CAGR of 39.3%, reaching around USD 74.84 Billion by 2026. To stay ahead of the technology curve, Big Data and Hadoop Training in Minneapolis is critical.
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.
To become Certified Big Data Hadoop Developer, you must fulfill both of the following criteria:
Simplilearn’s Hadoop Certifications Training in Minneapolis is Classroom Flexi-Pass Learning Methodology that has a validity of 180 days (6 months) of high-quality e-learning videos, Self-paced learning Content plus 90 days of access to 9+ instructor-led online training classes.
Simplilearn’s Hadoop Certification course in Minneapolis is priced at $799 for Online Classroom Flexi-Pass.
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.
It takes around 45-50 hours to successfully complete the Big Data and Hadoop training in Minneapolis.
Simplilearn's Big Data and Hadoop training in Minneapolis provides the support and guidance to help its graduates pass the CCA175 Hadoop certification exam on the first try. However, if you do fail, you still have a maximum of three additional attempts to successfully pass.
Upon completion of the Big Data Hadoop course, you will receive the Big Data Hadoop certificate immediately.
It never expires. The Big Data and Hadoop training in Minneapolis certification from Simplilearn has lifetime validity.
If a student fails the CCA175 Hadoop certification exam after completing the Big Data and Hadoop course in Minneapolis, they cannot retake the test for 30 calendar days.
Once a student passes the CCA175 Hadoop certification exam, they will receive an email with their digital certificate, as well as a certification license number, usually a couple of days after the exam.
Simplilearn will award you a certificate for completing the Big Data and Hadoop course in Minneapolis. Once you finish the Big Data and Hadoop training in Minneapolis, you need to pass the Cloudera exam in order to get a CCA175 - Spark and Hadoop certificate from Cloudera.
The Big Data and Hadoop training in Minneapolis readies you for success in your Big Data Engineer role by giving you insights into Hadoop’s ecosystem in addition to various Big Data tools and methodologies. The Simplilearn completion certificate for the Big Data and Hadoop course in Minneapolis attests to your new Big Data skills and relevant on-the-job expertise. In addition, Big Data and Hadoop course in Minneapolis helps you to become a data engineering expert by training you to use associated Hadoop tools such as HBase, Hive, MapReduce, Kafka, HDFS, Flume, and more.
Online Classroom: Attend one complete batch of Big Data and Hadoop training in Minneapolis, finish one project, and pass one simulation test with a score of at least 80%.
Online Self-learning: Finish 85% of the Big Data and Hadoop course in Minneapolis, finish one project, and pass one simulation test with a score of at least 80%.
The CCA 175 Spark and Hadoop Developer exam costs USD 295.
Yes, the Big Data and Hadoop training in Minneapolis provides one practice test to help you prepare for the CCA175 Hadoop certification exam. You can take this free Big Data and Hadoop Developer Practice Test to get a better idea of the kind of tests included 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 Minneapolis 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. If this salary trend is anything to go by, then the demand for data professionals has never been higher.
Several companies in Minneapolis are on the lookout for Big Data professionals. According to Indeed, some of the top companies looking out for big data professionals in Minneapolis are Thomson Reuters, IBM, Cognizant, GE, Honeywell, UHG, ING, Polaris, Cargill, etc.
According to ZipRecruiter, entry-level big data professionals in the U.S. can earn $84,000 per year. However, a big data professional with experience can earn up to $140,000 in Minneapolis. However, this salary can go up to $158,000 in Minnesota.
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.
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.