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In today’s fast-paced IT world, where technologies are evolving rapidly, a voluminous amount of data is generated every day. Because of this increase in data, more and more organizations are adopting the Big Data technologies like Hadoop, Spark, Kafka, etc for storing and analyzing Big Data. Therefore, the job opportunities regarding these technologies are also increasing at a faster pace. This results in demand for professionals with Big Data Certification. Let’s take a look at some predictions:
If you complete Edureka’s Hadoop Certification, you are recognized in the industry as a capable and a qualified Big Data expert. This Big data analytics certification helps your career in a rapid manner among the Top Multinational Companies. It would give you a preference and add value to your resume, which will help you in grabbing job opportunities in the field of Big Data & Hadoop. There are two major Big Data certifications in Hadoop, namely Cloudera and Hortonworks.
In this Big Data Hadoop blog, I will be discussing in detail about different Big Data certifications offered by Edureka, Cloudera and Hortonworks in the following sequence:
Big Data Certification | Cloudera Certification | Edureka
Edureka provides 3 Big Data Hadoop certification training related to Big Data & Hadoop.
The Hadoop training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. This Big Data certification course is stepping stone to your Big Data journey and you will get the opportunity to work on multiple Big data & Hadoop projects with different data sets like social media, customer complaints, airlines, movie, loan datasets etc.
You will also get Edureka Big data Hadoop certification after the project completion, which will add value to your resume. Based on the Edureka training and it’s aligned de facto curriculum, you can easily clear Cloudera or Hortonworks certification.
During this Big Data Certification course, our expert instructors will train you to:
Edureka also provides the Hadoop Training in Bangalore which covers a similar curriculum, updated as per industry de facto, and helps you in clearing the Cloudera & Hortonworks Hadoop certifications quite easily.
This best Big Data certification course is divided into modules and in each module, you will be learning new Big Data tools & architectures. Let us know what topics are covered in which module:
Gain proficiency in tools and systems used by Big Data experts from the Big Data Engineer Certification.
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As we looked at the Hadoop certification exams, so you need a good hands-on practice to clear the Hadoop certification exams. Thus, we provide various projects that you can work on and get a clear idea about the practical implementation. Towards the end of this Big Data certification Online course, you will work on a live project where you will be using PIG, HIVE, HBase, and MapReduce to perform Big Data analytics. Few Big Data Hadoop certification projects you will be going through are: The best way to become a Data Engineer si by getting the Azure Data Engineering Course in Chennai.
Project #1: Analyze social bookmarking sites to find insights
Data: It comprises of the information gathered from sites like reddit.com, stumbleupon.com which are bookmarking sites and allow you to bookmark, review, rate, search various links on any topic.reddit.com, stumbleupon.com, etc.
Problem Statement: Analyze the data in the Hadoop ecosystem to:
Project #2: Customer Complaints Analysis
Data: Publicly available dataset, containing a few lakh observations with attributes like; CustomerId, Payment Mode, Product Details, Complaint, Location, Status of the complaint, etc.
Problem Statement: Analyze the data in the Hadoop ecosystem to:
Project #3: Tourism Data Analysis
Data: The dataset comprises attributes like City pair (combination of from and to), adults traveling, seniors traveling, children traveling, air booking price, car booking price, etc.
Problem Statement: Find the following insights from the data:
Project #4: Airline Data Analysis
Data: Publicly available dataset which contains the flight details of various airlines such as Airport id, Name of the airport, Main city served by airport, Country or territory where the airport is located, Code of Airport, Decimal degrees, Hours offset from UTC, Timezone, etc.
Problem Statement: Analyze the airlines data to:
Project #5: Analyze Loan Dataset
Data: Publicly available dataset which contains complete details of all the loans issued, including the current loan status (Current, Late, Fully Paid, etc.) and latest payment information.
Project #6: Analyze Movie Ratings
Data: Publicly available data from sites like rotten tomatoes, IMDB, etc.
Problem Statement: Analyze the movie ratings by different users to:
Project #7: Analyze YouTube data
Data: It is about the YouTube videos and contains attributes such as VideoID, Uploader, Age, Category, Length, views, ratings, comments, etc.
The Hadoop Administration Training from Edureka provides participants an expertise in all the steps necessary to operate and maintain a Hadoop cluster, i.e. from Planning, Installation and Configuration through load balancing, Security and Tuning. The Edureka’s training will provide hands-on preparation for the real-world challenges faced by Hadoop Administrators. Among Various Big data certification courses, this Hadoop Administration is most recommended for Beginners.
The course curriculum follows Apache Hadoop distribution. During the Hadoop Administration Online training, you’ll master:
Towards the end of the Course, you will get an opportunity to work on a live project, that will use the different Hadoop ecosystem components to work together in a Hadoop implementation to solve big data problems.
1. Setup a minimum 2 Node Hadoop Cluster
2. Create a simple text file and copy to HDFS
3. Create a large text file and copy to HDFS with a block size of 256 MB.
4. Set a spaceQuota of 200MB for projects and copy a file of 70MB with replication=2
5. Configure Rack Awareness and copy the file to HDFS
The last Big Data certification training provided by Edureka is solely based on Apache Spark. Lets us know the details.
This Apache Spark Certification Training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. After completing this Big Data certification course, you will completely understand about the concepts of OOPS.
This Edureka course is an integral part of Big Data developer’s learning path. After completing the Apache Spark training, you will be able to:
In Spark Hadoop Big Data certification Training, Edureka has multiple projects, few of them are:
Project #1: Design a system to replay the real-time replay of transactions in HDFS using Spark.
Project #2: Drop-page of signal during Roaming
Problem Statement: You will be given a CDR (Call Details Record) file, you need to find out top 10 customers facing frequent call drops in Roaming. This is a very important report which telecom companies use to prevent customer churn out, by calling them back and at the same time contacting their roaming partners to improve the connectivity issues in specific areas.
So while going through Edureka Big Data Certification course training, you will be working on multiple use-cases as well as real time scenarios, which will help you in clearing various Hadoop certifications offered by Cloudera and Hortonworks.
The CCA exams test your basic foundation skills and set forth the groundwork for a candidate to get certified in CCP program.Edureka’s Big Data certification course helps you to get deep learning about all the Big Data tools and application. Cloudera has 3 certification exam at CCA level (Cloudera Certified Associate).
The person clearing the CCA Spark and Hadoop Developer certification has proven his core skills to ingest, transform, and process data using Apache Spark and core Cloudera Enterprise tools. The basic details for appearing CCA 175 are:
Each CCA question requires you to solve a particular scenario. In some cases, a tool such as Impala or Hive may be used and in other cases, coding is required. In order to speed up development time of Spark questions, a template is often provided that contains a skeleton of the solution, asking the candidate to fill in the missing lines of functional code. This template is written in either Scala or Python.
It is not mandatory to use the template. You may solve the scenario using a programming language. But however, you should be aware that coding every problem from scratch may take more time than is allocated for the exam.
Your exam is graded immediately upon submission and you are e-mailed a score report the same day of your exam. Your score report displays the problem number for each problem you attempted and a grade on that problem. If you pass the exam, you receive a second e-mail within a few days of your exam with your digital certificate as a PDF, your license number, a LinkedIn profile update, and a link to download your CCA logos for use in your social media profiles. It is easy to pass the CCA exam after you have completed this Edureka’s Big data certification training course developed by top experts in the Hadoop platform. Learn more about Big Data and its applications from the Data Engineer certification.
Now, let us know the required skill set for clearing CCA 175 certification.
The skills to transfer data between external systems and your cluster. This includes the following:
The skill to convert a set of data values, which is stored in HDFS into new data values or a new data format and write them into HDFS.
Use Spark SQL to interact with the metastore programmatically in your applications. Generate reports by using queries against loaded data.
Let’s move ahead and look at the second Cloudera certification i.e., CCA Data Analyst.
Person clearing CCA Data Analyst certification has proven his core analyst skills to load, transform, and model Hadoop data in order to define relationships and extract meaningful results from the raw input. The basic details for appearing CCA Data Analyst are:
For each problem, you must implement a technical solution with a high degree of precision that meets all the requirements. You may use any tool or combination of tools on the cluster. You must possess enough knowledge to analyze the problem and arrive at an optimal approach given the time allowed.
Below are the required skill set for clearing CCA Data Analyst certification.
Use Extract, Transfer, Load (ETL) processes to prepare data for queries.
Use Data Definition Language (DDL) statements to create or alter structures in the metastore for use by Hive and Impala.
Use Query Language (QL) statements in Hive and Impala to analyze data on the cluster.
Candidates for CCA Data Analyst can be SQL developers, data analysts, business intelligence specialists, developers, system architects, and database administrators. There are no prerequisites.
Now, let us discuss the third Cloudera Hadoop Big Data certifications i.e. CCA Administrator.
Individuals who earn the CCA Administrator certification have demonstrated the core systems and cluster administrator skills sought by companies and organizations deploying Cloudera in the enterprise.
Each CCA question requires you to solve a particular scenario. Some of the tasks require making configuration and service changes via Cloudera Manager, while others demand knowledge of command line Hadoop utilities and basic competence with the Linux environment. Evaluation & Score Reporting are similar as CCA 175 certification. After completing Edureka’s Big Data Certification course developed by top industry experts, you will get a deep knowledge of Big Data tools and technologies. The required skill set is as follows:
Demonstrate an understanding of the installation process for Cloudera Manager, CDH, and the ecosystem projects.
Perform basic and advanced configuration needed to effectively administer a Hadoop cluster
Maintain and modify the cluster to support day-to-day operations in the enterprise
Enable relevant services and configure the cluster to meet goals defined by security policy; demonstrate knowledge of basic security practices
Benchmark the cluster operational metrics, test system configuration for operation and efficiency
Demonstrate ability to find the root cause of a problem, optimize inefficient execution, and resolve resource contention scenarios
These were the three Hadoop Big Data Certifications of Cloudera related to Hadoop. Further moving on, let us discuss the Hortonworks certifications.
There are five Big Data certifications provided by Hortonworks related to Hadoop:
The cost of the exam is $250 USD per attempt and the duration is 2 hours. Hortonworks has a dynamic marking scheme based on the question you are attempting and the approach taken by you. So, now we will focus on the required skill for clearing different Hortonworks certifications.Edureka’s Big Data certifications is the first step to clear all this Hortonworks certification with more knowledge about the topics
Now, as we know the required skill sets and exam pattern to clear various Hadoop certifications. Thus, you can choose among three Edureka’s Hadoop Certification Training programs based on the Hadoop certification you want to pursue. Edureka Big Data training curriculum is aligned with Cloudera & Hortonworks Hadoop certifications.
I hope this Big Data Certification blog was informative and helped in gaining an idea about various Hadoop certification and their training. Now go ahead, choose a Big Data Certification and get certified in Big Data Hadoop which will boost your professional career. All The Best!
Edureka is a live and interactive e-learning platform that is revolutionizing professional online education. It offers instructor-led courses supported by online resources, along with 24×7 on-demand support. Edureka Data Engineer Certification courses are specially curated by experts who monitor the IT industry with a hawk’s eye, and respond to the expectations, changes, and requirements from the industry and incorporate them into the courses.
Now that you know various Big Data Hadoop Certifications, check out the Hadoop Training in Chennai by Edureka, a trusted online learning company with a network of more than 250,000 satisfied learners spread across the globe. The Edureka Big Data Hadoop Certification Training course helps learners become expert in HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain.
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Hey Bhagyesh, we are glad you feel this way. Do subscribe and stay connected with us. Cheers!