Hadoop Training in Delhi

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Hadoop

• APTRON Delhi

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Introduction

• Hadoop is a powerful open-source software
  framework used for distributed storage and
  processing of large datasets. It was initially
  developed by Doug Cutting and Mike Cafarella in
  2005 and is currently maintained by the Apache
  Software Foundation. Hadoop is written in Java
  and supports a variety of languages, making it a
  flexible tool for data analysis.
• Hadoop is designed to handle big data, which
  refers to extremely large and complex datasets
  that cannot be processed by traditional data
  processing tools. The framework uses a
  distributed file system called Hadoop Distributed
  File System (HDFS) that can store and manage data
  across multiple nodes. Hadoop also includes a
  programming model called MapReduce, which allows
  developers to write code that can be executed in
  parallel across many nodes in a cluster.
• Hadoop has become one of the most popular tools
  for big data processing, and is widely used in a
  variety of industries, including finance,
  healthcare, and social media. The framework has
  many advantages over traditional data processing
  tools, including its ability to handle large
  datasets and its scalability.
  
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What is Hadoop ?

• Hadoop is an Apache project that provides a
  framework for distributed storage and processing
  of big data. The framework is designed to handle
  large amounts of data that cannot be managed by
  traditional relational database management
  systems. It is based on the MapReduce programming
  model, which was originally developed by
  Google.Hadoop consists of two main components -
  Hadoop Distributed File System (HDFS) and
  MapReduce. HDFS is a distributed file system that
  provides reliable and scalable storage of large
  data sets. It is designed to run on commodity
  hardware and can be easily scaled up or down as
  per the needs of the organization. MapReduce is a
  programming model used for processing large data
  sets in parallel across a large number of nodes
  in a Hadoop cluster.
• Hadoop has several benefits over traditional
  relational database management systems. It is
  highly scalable and can handle large data sets
  without any performance issues. It is also
  fault-tolerant, meaning that if any node in the
  cluster fails, the data can be easily replicated
  to other nodes. This ensures that the data is
  always available for processing.
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Types of Hadoop

• Hadoop Distributed File System (HDFS)
• HDFS is the primary storage component of Hadoop,
  responsible for storing and managing large
  amounts of data across a distributed network of
  computers. It is a fault-tolerant system that
  allows for the efficient processing of large
  datasets by distributing them across multiple
  nodes in a cluster.
• MapReduce
• MapReduce is a programming model used for
  processing large datasets in a parallel and
  distributed manner. It consists of two main
  functions Map, which takes in data and converts
  it into a key-value pair, and Reduce, which
  performs a summary operation on the data.
• YARN
• YARN, short for Yet Another Resource Negotiator,
  is a cluster management system that manages
  resources in a Hadoop cluster. It allows for the
  efficient use of resources by allocating them to
  different applications running on the
  cluster.
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Applications of Hadoop

• E-Commerce
• Healthcare
• Finance
• Advertising
• Government
• In conclusion, Hadoop has become a critical tool
  for handling Big Data across various industries.
  With its distributed computing model, Hadoop
  enables businesses to process vast amounts of
  data and gain insights that can help them make
  informed decisions. From e-commerce to
  healthcare, finance, advertising, and government,
  Hadoop is revolutionizing industries and changing
  the way businesses operate.
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How to Implement Hadoop

• Implementing Automation testing involves several
  steps
• Step 1 Set Up a Hadoop Cluster
• Step 2 Install Hadoop
• Step 3 Configure Hadoop
• Step 4 Set Up Hadoop File System (HDFS)
• Step 5 Test Your Hadoop Cluster
• Step 6 Use Hadoop for Data Processing
• Implementing Hadoop can be a complex task, but
  with the right approach, you can get started
  quickly and easily. By following the steps
  outlined in this article, you can set up and
  configure a Hadoop cluster, test it, and start
  using it for data processing.
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Benefits of Hadoop

• Scalability
• Cost-Effective
• Flexibility
• Fault Tolerance
• Speed
• Advanced Analytics
• Integration
• In conclusion, Hadoop offers a range of benefits
  for businesses that need to process and analyze
  large volumes of data. Its scalability,
  cost-effectiveness, flexibility, fault tolerance,
  speed, advanced analytics, and integration
  capabilities make it a powerful tool for
  businesses looking to gain insights and make
  data-driven decisions.
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Hadoop in APTRON

• Hadoop has revolutionized the way big data is
  processed and analyzed. With its ability to
  handle large amounts of unstructured data, Hadoop
  has become a popular tool in the industry. APTRON
  Delhi, one of the leading training institutes in
  Delhi, offers comprehensive training on Hadoop to
  individuals and businesses. At APTRON Delhi,
  students are provided with in-depth knowledge of
  Hadoop and its various components, such as HDFS,
  MapReduce, and YARN. The training program is
  designed to provide hands-on experience in
  real-world scenarios, giving students the
  necessary skills to tackle big data challenges.
• The faculty at APTRON Delhi comprises of
  experienced professionals who have worked
  extensively in the industry. Their practical
  knowledge and expertise make the training program
  at APTRON Delhi one of the best in the industry.
  The curriculum is regularly updated to keep up
  with the latest developments in the field,
  ensuring that students are always up-to-date with
  the latest tools and techniques.
• Apart from the training program, Hadoop Training
  in Delhi also offers placement assistance to
  students. The institute has tie-ups with some of
  the leading companies in the industry, providing
  students with opportunities to kickstart their
  careers in the field of big data.
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Why APTRON for Hadoop

• we'll explore the reasons why APTRON Delhi is the
  ideal choice for your Hadoop training needs.
• Industry-Experienced Trainers Our trainers will
  guide you through the concepts of Hadoop, clarify
  your doubts, and provide you with practical
  knowledge of Hadoop
• Practical Approach we follow a practical
  approach to Hadoop training, where students get
  hands-on experience with Hadoop tools like HDFS,
  MapReduce, Hive, and Pig.
• Customized Course Curriculum Our course
  curriculum covers all the essential topics of
  Hadoop, including HDFS, MapReduce, Hive, Pig,
  Sqoop, Flume, Oozie, and HBase.
• State-of-the-Art Infrastructure Our labs provide
  a hands-on learning experience and enable
  students to practice and experiment with Hadoop
  tools.
• Affordable Training Programs Our training
  programs are designed to provide value for money,
  and we ensure that every student receives quality
  training that meets their learning
  objectives.
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Contact details

• E-mail- info_at_aptrondelhi.in
• Address- Bhikaji Cama Place New Delhi,
• Delhi 110070,
• Contact no.- 91-706-527-1000
• Website https//aptrondelhi.in/
• https//aptrondelhi.in