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Hadoop Online Training in Hyderabad

Big data can be described by the following characteristics:

Volume

The quantity of generated and stored data. The size of the data determines the value and potential insight, and whether it can be considered big data or not.

Variety

The type and nature of the data. This helps people who analyze it to effectively use the resulting insight. Big data draws from text, images, audio, video; plus it completes missing pieces through data fusion.

Velocity

In this context, the speed at which the data is generated and processed to meet the demands and challenges that lie in the path of growth and development. Big data is often available in real-time.

Variability

Inconsistency of the data set can hamper processes to handle and manage it.

Veracity

The data quality of captured data can vary greatly, affecting the accurate analysis

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BigData Online Training

Apache Hadoop’s MapReduce and HDFS components were inspired by Google papers on their MapReduce and Google File System.

The Hadoop framework itself is mostly written in the Java programming language, with some native code in C and command line utilities written as shell scripts. Though MapReduce Java code is common, any programming language can be used with “Hadoop Streaming” to implement the “map” and “reduce” parts of the user’s program. Other projects in the Hadoop ecosystem expose richer user interfaces.

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Best Hadoop Online Training

The base Apache Hadoop framework is composed of the following modules:

Hadoop Common – contains libraries and utilities needed by other Hadoop modules;

Hadoop Distributed File System (HDFS) – a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster;

Hadoop YARN – a platform responsible for managing computing resources in clusters and using them for scheduling users’ applications; and

Hadoop MapReduce – an implementation of the MapReduce programming model for large-scale data processing.

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Blockchain Online Training

Blockchain Training : Blockchain facilitates secure online transactions. A blockchain database consists of two kinds of records: transactions and blocks. Blocks hold batches of valid transactions that are hashed and encoded into a Merkle tree. By storing data across its network, the blockchain eliminates the risks that come with data being held centrally. The decentralized blockchain may use ad-hoc message passing and distributed networking. Blockchain is a distributed database that enables permanent, transparent, and secure storage of data. The blockchain technology is the backbone of cryptocurrency – in fact, it’s the shared public ledger upon which the entire Bitcoin network relies – and it’s gaining popularity with people who work in finance, government, and the arts

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SQL DBA Online Training

This course is a soup-to-nuts course that will teach you everything you need to build, configure a server, maintain a SQL Server disaster recovery plan, and how to design and manage a secure solution. You’ll learn how to automate daily, weekly, and hourly tasks (like backups), the details of security, SQL Server clustering, replication, disaster recovery, and using jobs and database maintenance tasks. This course consists of all practical trouble shooting issue which you arise in day to day activities. Each and every topic is covered with unique case studies. This course is divided into 7 modules and totals more than 50 hours of instructor-led online/onsite training for SQL Server 2014.

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AWS Online Training

AWS DEVOPS
Introduction to AWS DEVOPS
What is DevOps in cloud?
History of DevOps
DevOps and software life cycle
DevOps main objectives
IAAS overview
PAAS overview
SAAS overview
Continuous Testing and Integration
Continuous Release and deployment
Continuous Application monitoring
AWS Web Services
Basic of Linux for AWS
 Cd
 Mkdir
 Ls Jobs
 Chmod
 Vim ?
 Vi & cat ?
 Gzip ?
 And many more….
Amazon Elastic Compute Cloud (EC2)(Complete)
 Different instance types
 AMI’s
 Volumes
 Snapshots
 EIP’s
 Key pairs

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Devops Online Training

Introduction to Devops
 What is Devops?
 History of Devops
 Dev and ops
 Devops definitions
 Devops and Software Development Life Cycle
 Devops main objectives
 Infrastructure As A Code
 Prerequisites for Devops
 Tools (Jenkins, Chef, Docker, Vagrant and so on.)
 Continuous Integration and Development
Linux Concepts
 Linux Installation
 User Management
 Package Management
 Networking
Automation Concepts
 OS Basics
 Scripting Introduction
 Learn Shell Scripting
 Database Concepts
 Shell Variable
 Shell Decision Making
 Shell Test Conditions
 Shell Loops
 Shell Redirectors

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Online training on Hadoop

big data” tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. “There is little doubt that the quantities of data now available are indeed large, but that’s not the most relevant characteristic of this new data ecosystem.”Analysis of data sets can find new correlations to “spot business trends, prevent diseases, combat crime and so on.” Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research

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Hadoop Online Training

 Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are five concepts associated with big data: volume, variety, velocity and, the recently added, veracity and value.