Future Q Technologies recognized as No.1 Hadoop Training Center in Hyderabad
Best Hadoop Online Training Institutes In Hyderabad
Best Hadoop Online Training Institutes In Hyderabad
What you will learn in this Big Data Hadoop online training Course?
- Master fundamentals of Hadoop 2.7 and YARN and write applications using them
- Setting up Pseudo node and Multi node cluster on Amazon EC2
- Master HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Flume, Zookeeper, HBase
- Learn Spark, Spark RDD, Graphx, MLlib writing Spark applications
- Master Hadoop administration activities like cluster managing,monitoring,administration and troubleshooting
- Configuring ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc
- Detailed understanding of Big Data analytics
- Hadoop testing applications using MR Unit and other automation tools.
- Work with Avro data formats
- Practice real-life projects using Hadoop and Apache Spark
- Be equipped to clear Big Data Hadoop Certification.
Who should take this Big Data Hadoop Online Training Course?
- Programming Developers and System Administrators
- Experienced working professionals , Project managers
- Big DataHadoop Developers eager to learn other verticals like Testing, Analytics, Administration
- Mainframe Professionals, Architects & Testing Professionals
- Business Intelligence, Data warehousing and Analytics Professionals
- Graduates, undergraduates eager to learn the latest Big Data technology can take this Big Data Hadoop Certification online training
What are the prerequisites for taking this Hadoop Certification Training?
Best Hadoop Online Training In Hyderabad
Big Data Hadoop Certification Training : It is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to provide in-depth learning on big data and Hadoop Modules. This is an industry recognized Big Data certification training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing, and analytics. This Cloudera Hadoop training will prepare you to clear big data certification.
What you will learn in this Big Data Hadoop online training Course?
- Master fundamentals of Hadoop 2.7 and YARN and write applications using them
- Setting up Pseudo node and Multi node cluster on Amazon EC2
- Master HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Flume, Zookeeper, HBase
- Learn Spark, Spark RDD, Graphx, MLlib writing Spark applications
- Master Hadoop administration activities like cluster managing,monitoring,administration and troubleshooting
- Configuring ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc
- Detailed understanding of Big Data analytics
- Hadoop testing applications using MR Unit and other automation tools.
- Work with Avro data formats
- Practice real-life projects using Hadoop and Apache Spark
- Be equipped to clear Big Data Hadoop Certification.
Who should take this Big Data Hadoop Online Training Course?
- Programming Developers and System Administrators
- Experienced working professionals , Project managers
- Big DataHadoop Developers eager to learn other verticals like Testing, Analytics, Administration
- Mainframe Professionals, Architects & Testing Professionals
- Business Intelligence, Data warehousing and Analytics Professionals
- Graduates, undergraduates eager to learn the latest Big Data technology can take this Big Data Hadoop Certification online training
Hadoop online Training Institutes, FutureQ
Future Q Technologies offers the most comprehensive and in-depth Big Data Hadoop training that is designed by industry professionals in order to help you with your career. This is one combo course that will give you complete mastery of Hadoop developer, administrator, analyst, and testing domains. Upon completion of the training you will be fully equipped to clear the Cloudera Certification exam.
Future Q Technologies recognized as No.1 Hadoop Training Center in Hyderabad
For more details on Hadoop Online Training
please call to +91 9581111796 / 9581111896, or
drop a mail to: online@futureqtech.com
Apache Spark online training institute in hyderabad
Apache Spark is a lightning-fast cluster computing technology, designed for fast computation. It is based on Hadoop MapReduce and it extends the MapReduce model to efficiently use it for more types of computations, which includes interactive queries and stream processing. The main feature of Spark is its in-memory cluster computing that increases the processing speed of an application.
Spark is designed to cover a wide range of workloads such as batch applications, iterative algorithms, interactive queries and streaming. Apart from supporting all these workload in a respective system, it reduces the management burden of maintaining separate tools.
Spark is one of Hadoop’s sub project developed in 2009 in UC Berkeley’s AMPLab by Matei Zaharia. It was Open Sourced in 2010 under a BSD license. It was donated to Apache software foundation in 2013, and now Apache Spark has become a top level Apache project from Feb-2014.
Apache Spark has following features.
- Speed − Spark helps to run an application in Hadoop cluster, up to 100 times faster in memory, and 10 times faster when running on disk. This is possible by reducing number of read/write operations to disk. It stores the intermediate processing data in memory.
- Supports multiple languages − Spark provides built-in APIs in Java, Scala, or Python. Therefore, you can write applications in different languages. Spark comes up with 80 high-level operators for interactive querying.
- Advanced Analytics − Spark not only supports ‘Map’ and ‘reduce’. It also supports SQL queries, Streaming data, Machine learning (ML), and Graph algorithms.
famous online training on Hadoop in hyderabad
Hadoop framework includes following four modules:
- Hadoop Common: These are Java libraries and utilities required by other Hadoop modules. These libraries provides filesystem and OS level abstractions and contains the necessary Java files and scripts required to start Hadoop.
- Hadoop YARN: This is a framework for job scheduling and cluster resource management.
- Hadoop Distributed File System (HDFS™): A distributed file system that provides high-throughput access to application data.
- Hadoop MapReduce: This is YARN-based system for parallel processing of large data sets.
Best Hadoop Corporate Training Institute In Hyderabad
Future Q Technologies is a brand and providing quality online trainings to students in world wide. We are giving best online training on Hadoop Online Training.
Future Q Technologies offers the most comprehensive and in-depth Big Data Hadoop training that is designed by industry professionals in order to help you with your career. This is one combo course that will give you complete mastery of Hadoop developer, administrator, analyst, and testing domains. Upon completion of the training you will be fully equipped to clear the Cloudera Certification exam.
Future Q Technologies recognized as No.1 Hadoop Training Center in Hyderabad
We are providing Hadoop Online Training in Hyderabad. We are one of best Institute to provide Best High Quality Hadoop online training all over India. If you are staying in Hyderabad, Bangalore, Chennai, Pune, Delhi, USA, UK, Australia, and Singapore etc. and unable to attend regular class room training programs then contact our training institute for information on online training.
For more details on Hadoop Online Training please call to
+91 9581111796 / 9581111896, or
drop a mail to: online@futureqtech.com
Big Data Hadoop Certification Training in Hyderabad, India
What skills will you learn with our Big Data Hadoop Certification Training?
Big Data Hadoop training in Hyderabad will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. You will learn to:
Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.
- Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management
- Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts
- Ingest data using Sqoop and Flume
- Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
- Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
- Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
- Understand and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
- Gain a working knowledge of Pig and its components
- Do functional programming in Spark, and implement and build Spark applications
- Understand resilient distribution datasets (RDD) in detail
- Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
- Understand the common use cases of Spark and various interactive algorithms
- Learn Spark SQL, creating, transforming, and querying data frames
- Prepare for Cloudera CCA175 Big Data certification