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Bigdata: Hadoop. Spark, Scala

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Published in: Big Data & Hadoop
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• Extensive hands on experience with working level knowledge on Big data and NoSQL (Not Only SQL) technologies including: Hadoop’s, PIG, Hive, HBase, SQOOP, Flume, Oozie, YARN, Map Reduce using Java, HDFS, Master-Slave architectural model, Clustering, managing, and monitoring Hadoop clusters using Ambari.

Tarang G / Pune

5 years of teaching experience

Qualification: MCA (Pune University - 2005)

Teaches: Big Data & Hadoop, Data Science

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  1. 1. 2. 3. 4. 5. 1. 2. 3. 1. 2. 3. Hadoop Training FAQs What are the benefits of Hadoop learning? Hadoop is changing the perception of handling big data especially unstructured data. It plays a vital role in handling and managing big data by enabling streamlined surplus data for any distributed processing system across clusters of computers using simple programming models. How does a Hadoop Training course could benefit you? The following are the benefits of taking Hadoop training namely: Gaining Expertise — You definitely need a professional training course to earn adequate knowledge to become Hadoop professional and to fluently work with Hadoop systems. Choice — You can enjoy the convenience of choosing online training with best trainer suiting your needs and requirements. Flexibility — Given that every Hadoop training course is accompanied with facilities to customize in accordance with the requests from the trainee in terms of syllabus, course duration and training modes. Certification — At the end of the Hadoop training course, you avail excellent assistance to attend the expert-level certifications from providers like Cloudera, Hortonworks and MapR, etc. Employment Opportunities — Being a professional training course provider, the trainer you're enrolling here is probably facilitated with dedicated placement assistance team and tie-ups with top companies' recruitment department to help you get employed as a Hadoop professional. If an organization doesn't do big data, does it need Hadoop? Hadoop is a distributed data processing platform not just for big data. The following are the highlights of Hadoop that any organizations should make use of: Easier Data Processing, Management, and Analysis — with the help of Hadoop, the data stored in the warehouse can be structured, processed and transformed to enable easier data management, processing and analysis. Data Archiving — Business data can be archived for years with the help of Hadoop. The data can be stored in multiple versions such as raw, native and modified data. Thanks to the inexpensive commodity hardware used by Hadoop. Easier Access to any data — Once the data is stored using Hadoop system, the access to such data stored is made much easier and effective. I have knowledge of Linux. Do I get any extra benefit while learning Hadoop? Hadoop was initially built on Linux and is the preferred method for both installing and managing Hadoop. It can also run on Windows. The solid understanding of Linux shell will also help in understanding Hadoop easily as most of the Hadoop command line parameters are in Linux. I know C/C++. What are the best ways for me to learn Hadoop? If you know C/C++, learning Java is not much difficult. So the better idea is to learn Java and jump to Hadoop. However, if you don't want to learn Java then you can directly jump to Hadoop. Tools like Hive and Pig are built on top of Hadoop that deals with their own high-level languages. Added Advantage of C/C++ knowledge. Programmer can develop MapReduce application, pipes, mapper and reducer code using pipe library. What is the importance of SQL knowledge in Hadoop? The need for SQL skills in Hadoop will not replace RDBMS system. It is rather an expansion of these systems to tackle large volumes of data that RDBMS systems cannot competently tackle. As the syntax and commands in Hive are similar to SQL queries, programmers with basic knowledge of SQL can learn Hadoop with ease. These programmers can work on framework through the Hive project of the Hadoop ecosystem. The key tools for professionals with SQL skills to master Hadoop (Pig and Hive) are: Standard ET L data pipelines Iterative processing of data Researching on raw data
  2. I am not from a Java background. Can I take this course? You can enrol to this course. But the trainees must have basic knowledge of scripting and SQL. How Hadoop Developer program is different from Hadoop Admin program? Hadoop Developer is responsible for actual coding/programming of Hadoop applications such as MapReduce using Java and Scripts using Hive and Pig. This role is synonymous to Software Developer or Application Developer. Hadoop Administrator is responsible for implementing and administering ongoing Hadoop infrastructure. Hadoop Admin must coordinate with the System Engineering team to propose and deploy new hardware and software environments. Do you cover Data Architect or Data Science in Hadoop Developer or Admin training program? No, we don't cover Architect level or Data Science concepts either in Hadoop Developer or Hadoop Admin training program. Can I install Hadoop environment on my MAC machine? Yes, you can install Hadoop environment on MAC machine and work easily. How do I get Certification? Through this course you will be get prepared to appear for Hortonworks certification which is mother of every Big Data Certification you have in market. Hortonworks Pniversity HDP Certified Developer (HDPCD) Regards, Tarang G. Hadoop Consultant & Trainer [email protected] 9527629904

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