The Big Data Hadoop certification training is designed to give you a comprehensive understanding of the Big Data framework using Hadoop and Spark. You will use Integrated Lab to complete real-world, industry-based projects in this hands-on Hadoop course. The Big Data Hadoop training programme, which includes 14 real-time industry-oriented case-study projects, will help you master Big Data Hadoop and Spark in preparation for the Cloudera CCA Spark and Hadoop Developer Certification (CCA175) exam, as well as Hadoop Administration.You will learn how to use MapReduce, Hive, Pig, Sqoop, Oozie, and Flume, as well as work with Amazon EC2 for cluster setup, Spark framework and RDD, Scala and Spark SQL, Machine Learning with Spark, Spark Streaming, and other tools in this Big Data course.
Additional Info
Introduction:
The Big Data course is designed by industry experts with over ten years of experience and covers in-depth knowledge of Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig. You will work on real-world industry use cases in Retail, Social Media, Aviation, Tourism, and Finance during this online instructor-led live Big Data Hadoop certification training. It is a comprehensive Hadoop Big Data training course designed by industry experts to assist you in learning Big Data Hadoop and Spark modules while keeping current industry job requirements in mind.This is an industry-recognized Big Data Hadoop certification training course that combines Hadoop developer, Hadoop administrator, Hadoop testing, and analytics training courses with Apache Spark training. This Cloudera Hadoop and Spark training will prepare you for the Cloudera CCA175 Big Data certification exam.
Choosing a Career:
- According to the results of the 2017 Stack Overflow Survey, Hadoop is the most popular and well-liked Big Data framework ( Survey Link).
- This is only possible because individuals from various IT backgrounds saw Hadoop as a potential career path and wish to change.
- Whatever your current IT position is, the transition to a career in the Hadoop world will be straightforward.
Here are a few well-known examples:
- As a Software Developer, Hadoop Data Developer works with various Hadoop abstraction SDKs and derives value from data (Programmer).
- So you know how to use SQL, right? Data Analyst.
Working on SQL engines such as Hive or Impala is a huge opportunity in Hadoop:
- Analyst, Business:Organizations are attempting to become more profitable through the use of massive amounts of data, and the role of a business analyst is critical in this.
- ETL Programmer:You can easily transition from traditional ETL to Hadoop ETL using Spark tools if you are a traditional ETL developer.
- Testers:Testers are in high demand in the Hadoop world.This role is open to any tester who understands the fundamentals of Hadoop and data profiling.Professionals in business intelligence and data warehouse can easily transition from Hadoop Data Architecture to Data Modeling.
- Senior IT personnel:A senior professional with a thorough understanding of the domain and existing data challenges can become consultants by learning how Hadoop is attempting to address these issues.
- There are generic roles like Data Engineers or Big Data Engineering that are in charge of implementing solutions, primarily on top of Cloud vendors. If you learn about the data components that the cloud provides, this will be a promising role.
The following are the objectives of Hadoop Certification:
- It's critical to make sure you get the most out of it and that the curriculum covers the most recent Apache Hadoop topics.
- For example, by the end of the course, you should have mastered the Apache Hadoop concepts listed below.
- Learn about Hadoop's Distributed File System and the MapReduce framework.
- Learn how to load data using Sqoop and Flume.
- Learn how to write complex MapReduce programmes.
- Perform data analytics with Pig and Hive.
- Understand the ZooKeeper service completely.
- Implement best practises for Hadoop development and debugging.
- Set up a Hadoop cluster.
- MapReduce programming (both MRv1 and MRv2).
- Programming with YARN (MRv2).
- HBase, MapReduce Integration, Advanced Usage, and Advanced Indexing are all recommended.
- Hadoop 2.0 introduces new features such as YARN, HDFS Federation, and NameNode High Availability.
- Set up a Hadoop project.
Key Characteristics:
1. Lifetime access to self-paced content.
2. The level of interaction in live online classes taught by industry experts is 8X higher.
3. four real-world industry projects that make use of Hadoop, Hive, and the Big Data stack.
4. Training for Yarn, MapReduce, Pig, Hive, HBase, and Apache Spark.
5. The Cloudera CCA175 certification exam is in sync.
The Benefits of Big Data Hadoop Certification:
- Recruiters and job postings are looking for Hadoop certified candidates.
- This is a significant advantage over a candidate who is not certified in Hadoop.
- It gives you an advantage over other professionals in the same field in terms of remuneration.
- Hadoop Certification can help you advance your career and move up the ladder during IJPs.
- Advantageous for People from a variety of technical backgrounds are attempting to make the transition to Hadoop.
- Validates your hands-on Big Data experience.
- This test ensures that you are current on the most recent Hadoop features.
- The certification allows me to speak more confidently about this technology at my company when networking with other companies.
Responsibilities and Roles:
- The primary responsibility of a Hadoop Developer is to code. They are essentially software developers who specialise in Big Data Hadoop.
- They excel at creating design concepts that are used in the creation of large software applications. They are computer programming language experts.
As a Hadoop Developer, you will be responsible for the following tasks:
- Learn about the agile software development methodology.
- Designing, developing, documenting, and architecting Hadoop applications are all part of the process.
- Manage and monitor Hadoop log files.
- Make MapReduce code that works well on Hadoop clusters.
- SQL, NoSQL, data warehousing, and DBA experience are required.
- Learn about cutting-edge concepts like Apache Spark and Scala programming.
- Learn everything you can about the Hadoop ecosystem and Hadoop Common.
- Transform difficult-to-understand technical specifications into outstanding designs.
- Create web services to enable fast data tracking and high-speed data queries.
- Prototype software is tested, standards are proposed, and they are implemented smoothly.
Certification of Big Data Hadoop Training:
- This Big Data training course is designed to help you pass the Cloudera Spark and Hadoop Developer Certification (CCA175) exams.
- The entire training course content is aligned with these certification programmes, allowing you to easily pass these exams and land the best jobs in the top MNCs.
- You will work on real-time projects and assignments that have huge implications in real-world industry scenarios as part of this training, allowing you to easily advance your career.
- At the end of this Big Data training programme, there will be quizzes that will perfectly reflect the type of questions asked in the respective certification exams and will help you score higher.
- The ACTE Course Completion Certificate will be awarded after completing the project work (after expert review) and scoring at least 60% on the quiz.
- Top 80+ MNCs recognise Intellipaat certification, including Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, and others.
Who is Eligible to Begin a Big Data Hadoop Course:
What is the most efficient method for learning Hadoop?
ACTE's Big Data Hadoop Certification training is intended to help you learn and master the entire Hadoop ecosystem. By providing an industry relevant course catalogue, we ensure that the learning is in line with how the technology is being used in the market today. For more hands-on experience, we also have real-time projects for our students to work on. With our cloud lab implementation, we provide the ideal environment for all learners to gain as much practical experience as possible.
What are the prerequisites for gaining knowledge of Hadoop Big Data?
The Big Data Course has no such prerequisites. Prior knowledge of Core Java and SQL is preferred but not required. In addition, if you enrol in the Big Data Course, ACTE will provide you with a free self-paced course on "Java essentials for Hadoop."
How long does it take to learn Hadoop?
ACTE's Big Data Hadoop certification training will help you master the technology's concepts and practical applications in just one month. If you have dedicated resources and a never-say-die attitude, you can master the technology in one month.
What is the best way for newcomers to get started with Hadoop?
The first step is always the most crucial and difficult to take. We understand that in order to become certified, you must first learn more about the technology. On our YouTube channel and blogs, we have a plethora of tutorials on the Hadoop ecosystem. These tutorials will teach you everything you need to know to begin using Hadoop.
Payscale:
1. A Hadoop Developer's salary in India is primarily determined by a candidate's educational credentials, skill set, work experience, company size and reputation, and job location.
2. Candidates with a postgraduate degree, for example, can expect to earn Rs. 4 – 8 LPA as a starting salary.
3. Salaries for senior-level Hadoop Developers (with more than 15 years of experience) are typically very high, ranging from Rs. 28 – 50 LPA or more.
4. The global Hadoop Big Data market is expected to grow at a CAGR of 43 percent from $4.91 billion in 2015 to $40.69 billion by 2021.
5. This suggests that the demand for Hadoop Developers will rise in the near future.