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Big Data Hadoop Course in Delhi
Big Data Hadoop Course in Delhi

Big Data Hadoop Course in Delhi India's No-1 Big Data Hadoop Institute With Most AdvancedCourse Curriculum

Big Data Hadoop Institute in DelhiAcademic Partner - Hewlett Packard



What Is Big Data Hadoop & Why It Is The Most Demanding Skill Now a Days?

  • Big data is a compilation of large datasets that cannot be processed using conventional computing techniques. It is not a solo technique or a tool. Instead, it has become an absolute subject, which involves a range of tools, techniques, and frameworks.

    Hadoop is generally an open-source software framework for accumulating data and running applications on clusters of material hardware. It provides enormous storage for any data, massive processing power, and the aptitude to handle virtually limitless simultaneous tasks or jobs.

Why is it important?

  • Error lenience - Hadoop protects data and application processing against hardware failure. If a node sinks, tasks are automatically rechanneled to other nodes to ensure the distributed computing does not fail. It stores multiple copies of all data automatically.

  • Flexibility - Unlike conventional relational databases, You can store as much data as you want and choose how to use it later. That also includes unstructured data like videos, images, and text.

  • Processes and stores vast amounts of data quickly - With data quantities and varieties continuously increasing, especially from social media and the internet.

  • Computing power - The distributed computing model of Hadoop processes big data fast. You can have more processing power if you have more computing nodes.

  • Costs cut - The open-source framework is free. It uses commodity hardware to amass large quantities of data.

  • Scalability - You can easily grow your system to knob more data only by adding nodes. Modest administration is required.

Why is it high in demand?

According to Globe Newswire, the global Hadoop big data analytics market size is expected to grow from USD 12.8 billion in 2020 to USD 23.5 billion by 2025, at a Compound Annual Growth Rate of 13 per cent during the forecast period.

The Hadoop big data analytics market is expected to grow because of many factors such as the growing attention on technology innovation, remote monitoring in support of prevailing pandemic, increasing reliance on digital payments, and the entrepreneurial need of building the digital infrastructure for huge-scale deployment.

Businesses are increasingly making efforts to position technologies that assist them through the pandemic. Analytics professionals, Business intelligence professionals, and researchers have been called upon to help executives drive business decisions to respond to new challenges posed by the COVID-19 outbreak as it has affected all markets and consumer behaviours. Candidates with a postgraduate degree can expect a starting package of around ₹ 4 – 8 lakh per annum.

However, freshers can undoubtedly earn between ₹ 2.5 – 3.8 LPA. Similarly, professionals can make between ₹ 5 – 10 LPA. Those in managerial roles can earn around ₹ 12 -18 lakh per annum or even more.

Conclusion

If you are interested in being acquainted with more about Big Data, check out our Hadoop big data course in Delhi which is designed for working professionals and provides 15+ case studies & projects, covers 10+ programming languages & tools, practical hands-on training, rigorous learning & job placement assistance with top firms.

Madrid Software Trainings is the industry recognised Big data Hadoop training institute in Delhi for 5 years. Let us be your guide to your successful future.

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Big Data Hadoop Course Highlights !



Big Data Hadoop Training in Delhi
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Big Data Hadoop Training in Delhi
Assigment
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Big Data Hadoop Training in Delhi
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Big Data Hadoop Training in Delhi

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Course Outline

Big Data Hadoop Training in Delhi

Our Big Data Hadoop Course Is Designed By Industry Experts That Gives The Candidate an Edge In The Market



  •   Introduction to Big Data Hadoop

    •   Cluster Setup (Hadoop 1.X)

    •   HDFC Concepts

    •   Mapreduce Concepts

    •   Advanced Mapreduce Concepts

    •   Mapreduce Algorithms

    •   Mapreduce Data Types and Formats

    •   Cluster Setup (Hadoop 2.X)

    •   HDFS High Availability and Federation

    •   YARN Yet Another Resource Negotiator

    •   Zookeeper

    •   Hive

    •   Pig

    •   Sqoop

    •   Flume

    •   Hbase



Job Profile And Salaries Of Big Data Hadoop

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Weekdays
24-Dec-2024
Weekend
28-Dec-2024
  • 100% Classroom Training by Our Top Ranked Faculty
  • Course Curriculum Design by Industry Experts
  • Real Time Assignments Case Study & Projects
  • Got Better Salary Hike and Promotion
  • Industry recognized certificates
  • Mock tests and Mock interview
  • Dedicated placement coordinator assigned to every
        candidate

Why Choose Madrid Software Trainings

Big Data Hadoop classes in Delhi



  • Live Project Based Training



  • Recorded Session After Every Class



  • Assignments & Assessments Test

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  • Job Placement In Big Data Hadoop



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Big Data Hadoop Interview Q & A


1.What are the standard 4 Vs of Big data?

The four Vs of Big Data are –

Volume – It's the amount of data.

Variety – It is the various formats of data.

Velocity – It is the ever-rising speed at which the data is growing.

Veracity – It is the degree of precision of data available.

2.What is Hadoop?

Hadoop is an open-source framework for storing, processing, and analyzing complex unstructured data sets for deriving insights and intelligence.

3.Define commodity hardware.

Commodity Hardware refers to the minimal hardware resources needed to run the Apache Hadoop framework. Any hardware that supports Hadoop's least requirements is known as 'Commodity Hardware.'

4. In Hbase, tell about three primary tombstone markers used for deletion purposes.

There are three primary tombstone markers used for deletion in HBase. They are-

Family Delete Marker – To mark all the columns of a column family.

Version Delete Marker – To mark a single version of a single column.

Column Delete Marker – To mark all the versions of a single column.

5.What is the way of deploying Big data solutions?

One can deploy a Big Data solution in three steps:

  • Data Ingestion – This is the initial step in the operation of a Big Data solution. You begin by collecting data from multiple sources, including social media platforms, log files, business documents, and anything relevant to your business. Data can either be extracted through synchronized streaming or in consignment jobs.
  • Data Storage – Once the data is extracted, you must store the data in a database. It can be HDFS or HBase. While HDFS storage is excellent for chronological access, HBase is best for random read/write access.
  • Data Processing – The last step in the deployment of the solution is data processing. Typically, data processing is done via Spark, MapReduce, Flink, Hadoop, and Pig

6.What is Rack awareness?

Rack mindfulness is a calculation that recognizes and chooses DataNodes closer to the NameNode dependent on their rack data. It is applied to the NameNode to decide how data blocks and their copies will be put. During the establishment cycle, the default supposition will be that all hubs have a similar rack.

7.What are the configuration parameters in a MapReduce framework?

The configuration parameters in the MapReduce framework include:

  • The input format of data.
  • The output format of data.
  • The input and output locations of jobs in the distributed file system.
  • The JAR file.
  • The class containing the map function
  • The class containing the reduce function

8.Mention the crucial features of JobTracker.

  • It is a procedure that runs on a different node (not on a DataNode).
  • It communicates with the NameNode to recognize data location.
  • It tracks the implementation of MapReduce workloads.
  • It finds TaskTracker nodes based on the obtainable slots.
  • It finds the best TaskTracker nodes to execute explicit tasks on particular nodes.

9.What is indexing in HDFS?

HDFS files information blocks relying upon their sizes. Likewise, clarify that the finish of an information block focuses on where the following data blocks' arrangement is put away.

10.What are the three modes in which Hadoop can run?

  • Standalone mode: Hadoop's default mode uses a local file system for input and output operations. This mode is primarily used for debugging purposes, and it does not sustain the employ of HDFS. Further, there is no custom configuration required for mapred-site.xml, core-site.xml, and hdfs-site.xml files in this mode. This mode works much faster than other modes.
  • Pseudo-distributed mode: In this mode, you need configuration for all the 3 files mentioned above. In this case, all daemons are running on one node, and thus both Master and Slave nodes are the same.
  • Fully distributed mode: This is Hadoop's production phase (what Hadoop is known for), where data is used and distributed across several nodes on a Hadoop cluster. Separate nodes are allotted as Master and Slave.

FAQ


1. Who should do a Big data Hadoop course?

Anyone who is interested in learning Big Data Hadoop can join this course. Any graduate, professional, entrepreneur, or a 12th pass can do this course to become a Big Data Hadoop developer.

2.What are the most valuable skill one can acquire after completing the course?

The most valuable skills one can acquire are knowledge of Apache Hadoop, SQL, Data Visualization, Machine learning, Apache Spark, Quantitative analysis, programming languages, Data mining, and problem-solving.

3.What is the average salary of a Big Data Hadoop developer?

As of Nov 2020, the average pay for a Big Data Hadoop Developer in the U.S. is $125,013 a year. Graduate freshers can annually make between ₹2.5 – 3.8 Lakh. Similarly, professionals can make annually anywhere between ₹ 5 – 10 Lakh. Mid-level professionals in a non-managerial and managerial role can receive an average annual package of ₹7 – 15 LPA, and those in managerial roles can make around ₹12 -18 LPA or more, respectively.

4.What will be my profile after completing the Big Data Hadoop course?

After completing the course, you can apply for the positions of Hadoop Engineer, Hadoop Architect, Hadoop Lead Developer, Big Data Developer, Big Data Architect, Hadoop tester, Hadoop administrator, Hadoop teaser.

5.Why Madrid Software Trainings is the best Hadoop institute in Delhi?

Madrid Software Trainings, the best Hadoop institute in Delhi because our course is the most recognized name in Hadoop training and certification. Our Hadoop training course includes all significant Big Data Hadoop components like Apache Spark, HDFS, Pig, Flume MapReduce, HBase, Oozie, and more. Industry professionals have created entire Hadoop training. Thus, it is a one-time investment for a lifetime of benefits.

6.What is the career growth after completing the Big Data Hadoop course?

Besides the obvious IT domain, various sectors require Hadoop Developers. Let's look at the wide variety of such sectors:

  • Travel
  • Retail
  • Finance
  • Healthcare
  • Advertising
  • Manufacturing
  • Telecommunications
  • Life Sciences
  • Media and Entertainment
  • Natural Resources
  • Trade and Transportation
  • Government

7. Do we get placement support after completing the Big Data Hadoop course?

Yes, from theoretical to practical hands-on training, Madrid Software Trainings provide 100% placement support after completing the Bi Data Hadoop course.

8. What if I miss a Big Data Hadoop class?

If you miss a class, you can either join another batch to compensate for the classroom's missed class. Other than that, you will be provided a class recording. Also, if the same for the online class.

9. Will I get a Big Data Hadoop course completion certificate from Madrid Software Trainings?

Yes, after completing the course, you will be certified with an industry-recognized certificate from Madrid Software Trainings.

10.Do Madrid Software Trainings also provide online training in Big Data Hadoop course?

Yes, we also provide online and classroom classes for the Big Data Hadoop course in Delhi.

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