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Cloudera Hadoop Administration Online Training by BIT will help you master Hadoo..
What you will learn
- Cloudera Manager features that make managing your clusters easier, such as aggregated logging, configuration & resource...
- Configuring & deploying production-scale clusters that provide key Hadoop-related services, include YARN, HDFS, Impala,...
- Determining the correct hardware and infrastructure for your cluster
- Proper cluster configuration and deployment to integrate with the data center
- Ingesting, storing, and accessing data in HDFS, Kudu, and cloud object stores such as Amazon S3
- How to load file-based and streaming data into the cluster using Kafka and Flume
- Configuring automatic resource management to ensure service-level agreements are met for multiple users of a cluster
Hadoop Administration Professional Online Training Program is a comprehensive Ha..
What you will learn
- Describe the fundamentals and components of Hadoop
- Elucidate the features, architecture, security considerations of Hadoop Distributed File System (HDFS)
- Provide an overview of Hadoop Ecosystem covering different tools for integration, analysis, data storage and retrieval
- Understand the features, concepts, architecture of MapReduce
- Plan, install, and configure Hadoop. Practice Hadoop security system and configure Kerberos Security
- Manage and schedule jobs to be executed in Hadoop system.
- Install and manage other Hadoop clusters including Pig, Hive, HBase, Sqoop, HDFS
- Utilize best practices for deploying, managing, and monitoring Hadoop clusters
Big Data Hadoop Professional Online Training Program is curated by Hadoop exper..
What you will learn
- Role of Relational Database Management System (RDBMS) and Grid computing
- Concepts of MapReduce and HDFS
- Using Hadoop I/O to write MapReduce programs
- Develop MapReduce applications to solve the problems
- Set up Hadoop cluster and administer
- Hive, a data warehouse software, for querying and managing large datasets residing in distributed storage
- Use of Sqoop in controlling the import and consistency
- Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications
- Hadoop testing applications using MRUnit and other automation tools
- Configuring ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc.
Become an expert in Hadoop by getting hands-on knowledge on MapReduce, Hadoop Ar..
What you will learn
- Fundamentals of Hadoop and YARN and write applications using them
- Setting up pseudo-node and multi-node clusters on Amazon EC2
- Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications
- Hadoop administration activities like cluster managing, monitoring, administration and troubleshooting
- Set up different configurations of Hadoop cluster
- Maintain and monitor Hadoop cluster by considering the optimal hardware and networking settings
- Leverage Pig, Hive, Hbase, ZooKeeper, Sqoop, Flume, and other projects from the Apache Hadoop ecosystem
- Hadoop testing applications using MRUnit and other automation tools
- Practicing real-life projects using Hadoop and Apache Spark
Big Data Hadoop Analyst online training course helps you master Big Data Analysi..
What you will learn
- How the open source ecosystem of big data tools addresses challenges not met by traditional RDBMSs
- Using Apache Hive and Apache Impala to provide SQL access to data
- Hive and Impala syntax and data formats, including functions and subqueries
- Create, modify, and delete tables, views, and databases; load data; and store results of queries
- Create and use partitions and different file formats. Combining two or more datasets using JOIN or UNION, as appropriate
- What analytic and windowing functions are, and how to use them. Store and query complex or nested data structures
- Process and analyze semi-structured and unstructured data. Techniques for optimizing Hive and Impala queries
- Extending the capabilities of Hive and Impala using parameters, custom file formats and SerDes, and external scripts
- How to determine whether Hive, Impala, an RDBMS, or a mix of these is best for a given task
Hadoop Data Analytics online training course explains how to apply data analytic..
What you will learn
- Explain the fundamentals of Apache Hadoop, Data ETL (extract, transform, load), data processing using Hadoop tools
- Performing data analysis and processing complex data using Pig
- Perform data management and text processing using Hive
- Extending, troubleshooting, and optimizing Pig and Hive performance
Analyze data with Impala
- Comparative study of MapReduce, Pig, Hive, Impala, and Relational Databases
BIT's extensive Big Data Hadoop Architect online training is curated by Hadoop e..
What you will learn
- Introduction to Hadoop ecosystem
- Working with HDFS and MapReduce
- Real-time analytics with Apache Spark
- ETL in Business Intelligence domain
- Working on large amounts of data with NoSQL databases
- Real-time message brokering system. Hadoop analysis and testing
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