The Big Data Hadoop certification training is intended to provide you with a thorough understanding of the Big Data framework using Hadoop and Spark. In this hands-on Hadoop course, you will use Integrated Lab to complete real-world, industry-based projects.With 14 real-time industry-oriented case-study projects, the Big Data Hadoop training program helps 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. In this Big Data course, 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.
Additional Info
Introduction:
Big Data course is curated by industry experts with over ten years of experience, and it covers in-depth knowledge of Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig. Throughout this online instructor-led live Big Data Hadoop certification training, you will work on real-world industry use cases in Retail, Social Media, Aviation, Tourism, and Finance domains.It is a comprehensive Hadoop Big Data training course designed by industry experts to help you learn Big Data Hadoop and Spark modules while taking current industry job requirements into account. This is an industry-recognized Big Data Hadoop certification training course that combines Hadoop developer, Hadoop administrator, Hadoop testing, and analytics with Apache Spark training courses. This Cloudera Hadoop and Spark training will get you ready to pass the Cloudera CCA175 Big Data certification exam.
Skills Covered:
- Spark
- Scala
- Sqoop
- Pig
- Apache Flume is an acronym for "Apache Flume
- Hive
- HCatalog
- AVRO
- Scala Replace
- SBT/Eclipse
- Apache Kafka is a data stream processing framework.
- Streaming with Spark
- Impala
Who can Start Big Data Hadoop Online Course:
What is the most effective way to learn Hadoop?
ACTE's Big Data Hadoop Certification training is designed to help you learn and master the Hadoop ecosystem as a whole. We ensure that the learning is in line with how the technology is being used in the market today by providing an industry-relevant course catalog. We also have real-time projects for our students to work on for more hands-on experience. We provide the ideal environment for all learners to gain as much practical experience as possible with our cloud lab implementation.
What are the prerequisites for learning Big Data Hadoop Online Training?
There are no such requirements for the Big Data Course. However, prior knowledge of Core Java and SQL is advantageous but not required. Furthermore, when you enroll in the Big Data Course, ACTE will provide you with a free self-paced course on "Java essentials for Hadoop."
How much time does it take to learn Hadoop?
ACTE's Big Data Hadoop certification training will assist you in mastering the concepts and practical application of the technology in one month. You can master the technology in one month if you have dedicated resources and a never-say-die attitude.
How should newcomers get started with Hadoop?
The first step is always the most important and the most difficult to take. We understand that in order to be serious about becoming certified, you must first learn more about the technology. There are many tutorials on the Hadoop ecosystem on our YouTube channel and blogs. These tutorials will teach you everything you need to know to get started with Hadoop.
Certification:
- This Big Data course is intended to assist you in passing 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 certification exams and land the best jobs in the top MNCs.
- As part of this training, you will work on real-time projects and assignments that have huge implications in real-world industry scenarios, allowing you to easily advance your career.
- There will be quizzes at the end of this Big Data training program that perfectly reflects the type of questions asked in the respective certification exams and will help you score higher.
- After completing the project work (after expert review) and scoring at least 60% on the quiz, the ACTE Course Completion Certificate will be awarded.
- Top 80+ MNCs such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, and others recognize Intellipaat certification.
Roles and Responsibilities:
A Hadoop Developer's primary responsibility is to code. They are essentially software developers who work in the Big Data Hadoop domain. They are skilled at developing design concepts that are used in the development of large software applications. They are experts in computer programming languages.
The following are some of the responsibilities you can expect as a Hadoop Developer:
- Understand the agile methodology for delivering software solutions.
- Create Hadoop applications by designing, developing, documenting, and architecting them.
- Manage and keep an eye on Hadoop log files.
- Create MapReduce code that runs smoothly on Hadoop clusters.
- Working knowledge of SQL, NoSQL, data warehousing, and DBA is required.
- Be an expert in cutting-edge concepts such as Apache Spark and Scala programming.
- Learn everything there is to know about the Hadoop ecosystem and Hadoop Common.
- Convert difficult-to-understand technical requirements into outstanding designs.
- Create web services for quick data tracking and high-speed data queries.
- Prototype software is tested, standards are proposed, and they are smoothly implemented.
Advantages of Big Data Hadoop Certification Online Training:
- Job postings and recruiters are looking for Hadoop certified candidates.
- This is a significant advantage over a candidate who does not have Hadoop certification.
- In terms of remuneration, it gives you an advantage over other professionals in the same field.
- During IJPs, Hadoop Certification assists you in moving up the ladder and advancing your career.
- Beneficial for People with various technical backgrounds are attempting to transition into Hadoop.
- Validates your hands-on experience with Big Data.
- This test ensures that you are up to date on the latest Hadoop features.
- When networking with other companies, the certification allows me to speak more confidently about this technology at my company.
Key Features:
1. Access to self-paced content for life.
2. Live interaction is 8X higher in live online classes taught by industry experts.
3. 4 real-world industry projects utilising Hadoop, Hive, and the Big Data stack.
4. Yarn, MapReduce, Pig, Hive, HBase, and Apache Spark training.
5. Cloudera CCA175 certification exam is aligned.
Objectives Hadoop Certification's Goal:
- It is critical to ensure that 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 following Apache Hadoop concepts.
- Understand the Hadoop Distributed File System and the MapReduce framework.
- Learn how to use Sqoop and Flume to load data.
- Learn how to write sophisticated MapReduce programmes.
- Using Pig and Hive, perform data analytics.
- Have a firm grasp on the ZooKeeper service.
- Put best practises for Hadoop development and debugging into action.
- Create a Hadoop cluster.
- MapReduce – both MRv1 and MRv2 – programming.
- YARN programming (MRv2).
- HBase, MapReduce Integration, Advanced Usage, and Advanced Indexing should all be implemented.
- YARN, HDFS Federation, and NameNode High Availability are new features in Hadoop 2.0.
- Create a Hadoop project.
Career path:
- According to the results of the Stack Overflow Survey 2017, Hadoop is the most popular and well-liked framework in the Big Data space ( Survey Link).
- This is only possible because people from various IT backgrounds saw Hadoop as a potential career path and want to switch.
- Whatever your current IT role is, there will be a simple transition to a career in the Hadoop world.
Some well-known examples are:
- Hadoop Data Developer: Deals with various Hadoop abstraction SDKs and derives value from data as a Software Developer (Programmer).
- Data Analyst: So you know how to use SQL.
There is a huge opportunity in Hadoop to work on SQL engines such as Hive or Impala:
- Business Analyst: Organizations are attempting to become more profitable by utilising massive amounts of data, and the role of a business analyst is critical in this.
- ETL Developer: If you are a traditional ETL developer, you can easily transition to Hadoop ETL using Spark tools.
- Testers: In the Hadoop world, there is a high demand for testers. Any tester who understands the fundamentals of Hadoop and data profiling can transition to this role.
- BI/DW professionals can easily transition from Hadoop Data Architecture to Data Modeling.
- Senior IT professionals: A senior professional with a deep understanding of the domain and existing challenges in the data world can become consultants by learning how Hadoop is attempting to solve these challenges.
- There are generic roles such as Data Engineers or Big Data Engineering, which are in charge of implementing solutions, primarily on top of Cloud vendors. This will be a promising role if you learn about the data components that the cloud provides.
Payscale:
1. The salary of a Hadoop Developer in India is primarily determined by a candidate's educational qualifications, skill set, work experience, company size and reputation, and job location.
2. Candidates with a postgraduate degree, for example, can expect to earn a starting salary of Rs. 4 – 8 LPA.
3. Senior-level Hadoop Developers' salaries (with more than 15 years of experience) are typically very high, ranging between Rs. 28 – 50 LPA or more.
4. The global Hadoop Big Data market is expected to grow from $4.91 billion in 2015 to $40.69 billion by 2021, at a CAGR of 43 percent during the forecast period.
5. This indicates that the demand for Hadoop Developers will increase in the coming years.
