Why do we need Hadoop for Data Science - NareshIT

Introduction:

1.?????As we already know that Hadoop?is an Apache open-source framework written in a java environment, so it is open-source and widely considered.

2.?????It allows distributed processing of large datasets across clusters of computers using simple programming models.

3.?????The Hadoop?architecture is basically used to design in such a manner that it can scale up from a single server to thousands of machines, each offering local computation and storage.

4.?????Now if we need to understand what exactly Hadoop is, then we need to have first understood the issues related to Big Data and the traditional processing system as it is considered a major component and area of Hadoop.

What is Hadoop?

1.?????As technology is going to be Advanced day by day ahead, so we need to understand the importance of Hadoop, and its application strategy using which can be able to provide solutions to the problems associated with Big Data.

2.?????Hadoop is open-source software that refers to data sets or combinations of data sets whose size (volume), complexity (variability), and rate of growth (velocity) make them difficult to gather, managed, processed, or analyzed by traditional technologies and tools, such as relational databases and desktop statistics or visualization packages, within the time necessary to make them useful.

3.?????Hadoop is a framework that allows you to first store Big Data in a distributed environment, so that, you can process it parallelly.?There are basically two components in Hadoop:

4.?????The first one is?HDFS?for storage (Hadoop distributed File System), which allows you to store data of various formats across a cluster. The second one is?YARN,?for resource management in Hadoop. It allows parallel processing over the data, i.e. stored across HDFS.

Now let us consider the basic architecture of the Hadoop system as shown below.

Some of the important aspects of Hadoop architecture are discussed below.

?1.?????The most important component of the Hadoop Distributed File System is (HDFS). It distributes the data and stores it in the distributed file system called HDFS (Hadoop Distributed File System).

2.?????Here the Data is spread among machines in advance.No data transfer over the network is required for initial processing.

3.?????Map-Reduce (MapR): It is used for high-level data processing. It processes a large amount of data over a cluster of nodes.

4.?????Yet Another Resource Manager (Yarn): It is used for Resource Management and Job Scheduling, in the Hadoop Cluster. Yarn allows us to control and manage resources effectively.

Do we need Hadoop for Data Science?

Data Science is An interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured.

If we are going for data science then we are ultimately getting the following benefits as

• Gain problem-solving skills in various domains of areas as it has a role in many areas of science.
• It is having a High demand in terms of utility wise.
• Analytics is everywhere, so we need this to improve our analytic skills too.
• It's only becoming more important as it has a range of related skills.

In addition, with this, we also get the following benefits if we go for Hadoop in terms of Data science. Such as

1.?????Whenever we are going for data science we also come across the term Big Data. Hadoop is a big data platform that is used for data operations involving large-scale data.

2.?????Learning Hadoop will provide you with the capability to handle diverse data operations which is the main task of a data scientist.

3.?????In the Hadoop ecosystem, writing ML code in Java over MapR becomes a difficult procedure.

4.?????To easily analyze the data, Apache released two components in Hadoop called?Pig?and Hive.

5.?????To perform the ML operation on the data, the Apache software foundation released the?Apache Mahout.

6.?????Apache Mahout runs on top of Hadoop which uses MapRe as its principle paradigm.

Use of Hadoop in Data Science:

When we are going for Hadoop in accordance with the data science we can able to do the following.

1. We can easily Engage the Data with a Large dataset.

2. Processing Data is becoming easier

3. Data Agility is possible in this case. Data agility is a process of flexibility in data. For example, unlike traditional database systems that need to have a strict schema structure, Hadoop has a flexible schema for its users. This flexible schema eliminates the need for schema redesign whenever a new field is needed.

4. Dataset for Datamining is very useful in the Hadoop system. Especially when we are going to deal with larger datasets, then ML algorithms can provide better results. Here we are going to use various important techniques like clustering, outlier detection, and product recommenders to provide a good statistical technique.

Data Science Case Study:

As we have already discussed above regarding data science and its benefits. If we are going for the case study, then also it has plenty of roles in the following areas where we are having many relevant case studies. Some of the areas are discussed below.

• Retails.
• E-Commerce
• Web & Social Media.
• Banking
• Supply Chain
• Health Care
• Insurance
• Entrepreneurship and Start-up.
• Finance & Accounts

In addition, with this, we can also have better relevant examples. H&M is a major multinational cloth retail company. It has adopted Hadoop to have in-depth insight into customer behavior. It analyzed data from multiple sources thereby giving a comprehensive understanding of consumer behavior.

Many more examples are also present. So Data Science is everywhere and it is being considered the futuristic technology for every branch of science.

Scope @ NareshIT:

1.?????At Naresh IT you will get a good Experienced faculty who will guide you, mentor you and nurture you to achieve your dream goal.

2.?????Here you will get a good hand on practice in terms of the practical industry-oriented environment which will definitely help you a lot to shape your future.

3.?????During the designing process of the application, we will let you know about the other aspect of the application too.

4.?????Our Expert trainer will let you know about every ins and out’s of the problem scenario.

You can contact us anytime for your??Hadoop Training?from any part of the world. Naresh I Technologies caters to one of the Hadoop best?training in India.

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