Best Big Data Hadoop Training Course in Kuwait | KVCH

1. Everything You Need To Know About Big Data Hadoop Training Course in Kuwait Hadoop is an open source framework that facilitates in storing and processing of Big Data applications running across clusters of computers using simple programming models. It manages various forms of structured and unstructured data, providing users’ flexibility for collecting data, processing it and analyzing. The massive amount of datasets which have the potential to provide valuable information is referred as big data. Benefits of Hadoop: Process large amount of data: every organization has a large amount of data these days with the presence on social media platforms and other sources. Hadoop facilitates store and manages a large amount of data of any kind.

2. Fault tolerance: In the event of failure of one node in case of hardware failure, Hadoop redirects it to another node automatically without loss of data and application failure. Flexible: Hadoop is very flexible and it allows users to store data in any way; structured or unstructured and use it later. Users don’t have the need to preprocess it. Low cost: it is a low-cost technology and the reason is it an open network and it manages to store a large amount of data. Scalable: It is highly scalable as if the user is required to store more data; it is done by adding more nodes. KVCH is pioneer training house providing Big Data Hadoop training course in Kuwait and in many other locations through online classes. The institute provides online training to students in

3. their desired field and also provides placement assistance. Our certification is well-known in the industry and we have expert trainers best in the industry. Advantages of KVCH Online training: KVCH provide online training to students in many different locations and help them to learn new skills. Job- oriented training: we provide training and certification to students and working professionals who want to learn new skills for their desired career and enhance their knowledge. Hands-on training: we provide hands-on training with real-time projects and practice sets so students are prepared for the future working scenario. Latest technology: Trainers at KVCH use the latest technology and equipment to provide the best training in the industry.

4. Certification: we provide certification after the completion of training. Our certificate is well- accredit in the industry and recognized all across the world. Placement: KVCH provides placement assistance services after completion of course. We have a very active cell that keeps students updated about the available oppor COURSE DESCRIPTION •INTRODUCTION OF BIG DATA •Basics of Big data •Big Data Generation •Big Data Introduction •Big Data Architecture •Understand Big data Problem •Big data Management Approch •treditional and Current Data storing approch •Understand various data formats and data units •Big data With Industry Requirments •Big Data Chalanges •HADOOP ENVIRONMENT •Understand Hadoop Enviorment •requirment of hadoop •Importance of Data Analytics •Setting up hadoop Enviorment •Hadoop advantages over RDMS •HADOOP CLUSTER & FILE SYSTEM •Explaining Various file systems •Hdfs GFS, POSIX, GPFS •explain clustring methetology

5. •Master Nodes and slave nodes •HADOOP FILE ARCHITECTURE •Working on hdfs File System •Creating lib and accessing lib from HDFS •hadoop commands make dir,delete dir etc •working with web console •HADOOP MAPREDUCE •Introduction of Map Reduce •mapreduce programming and word count •mapreduce nodes job tracker and task tracker •running Mapreduce program through web console •HADOOP JAQL •Introduction of JAQL Approch •Understand information stream •Understand Information ocean •Working with JAQL Language •HADOOP HIVE •Understand Data Ware Housing •Requirement of Data Ware housing •Data Ware housing with Hive •Understand Hive environment •working with Hive Query Language •Perform DDL approach Through Hive •Perform DML approach through Hive •HADOOP PIG •Introduction of PIG •Requirement of Pig •Working with pig Script •Running and managing Pig Script SYSTEM(HDFS) & HADOOP

6. •Perform Streaming Data Analytics through PIG •Pig Advantages and Disadvantages •HADOOP FLUME & SQOOP •Understand Flume methodology •Requirement of flume •flume advantages •working lab with flume •introduction of Sqoop •Requirement of sqoop •advantages of sqoop •HADOOP BIG R & OZIE •Introduction of BIG R •Advantages of BIG R •Working Lifecycle of ozie •understand ozie data flow •ozie setup and requirement •understand ozie scheduling Author Bio:- KVCH content team is consisting of online media enthusiasts and bloggers who closely follow the latest Career Guidance, App Development trends and online marketing trends in all over word. We write about various related topics such as Career Topics, Job search and much more.