Search

The Present Day Scope of Undertaking a Course In Hadoop

Hadoop is known as an open-source software framework that is being extensively used for running applications and storing data. Moreover, Hadoop makes it possible to run applications on systems that have thousands of commodity hardware nodes. It also facilitates the handling of thousands of terabytes of data. It is interesting to note that Hadoop consists of modules and concepts like Map-Reduce, HDFS, HIVE, ZOOKEEPER, and SQOOP. It is used in the field of big data as it makes way for fast and easy processing. It differs from relational databases, and it can process data that are of high volume and high velocity. Who should undertake a course in Hadoop? Now a days main question is Who can do hadoop course. A course in Hadoop suits those who are into ETL/Programming and looking for great job opportunities. It is also best suited for those managers who are on the lookout for the latest technologies that can be implemented in their organization. Hence, by undertaking a course in Hadoop, the managers can meet the upcoming and current challenges of data management. On the other hand, training in Hadoop can also be undertaken by any graduate and post-graduate student who is aspiring to a great career in big data analytics. As we all know, business analytics in the new buzz in the corporate world. Business analytics comprises of big data and other fundamentals of analytics. Moreover, as this field is relatively new, a graduate student can have endless opportunities if he or she decides to pursue a training course in Hadoop. Why is Hadoop important for professionals and students? In recent years, the context of pursuing a course in any professional subjects is of due importance. This is the reason that many present day experts are on the lookout for newer methods to enrich their skills and abilities. On the other hand, the business environment is rapidly changing. The introduction of Big Data and business analytics has opened up avenues of new courses that can help a professional in their growth. This is where Hadoop plays a significant role. By undertaking a course in Hadoop, a professional would be guaranteed of huge success. Following are the advantages that a professional would gain while taking a class in Hadoop-  • If a professional takes a course in Hadoop, then he or she will acquire the ability to store and process a massive amount of data quickly. This can be attributed to the fact that the load of data is increasing day by day with the introduction of social media and Internet of Things. Nowadays, businesses take ongoing feedback from these sites. Hence, a lot of data is generated in this process. If a professional undertakes a course in Hadoop, then he or she would learn how to manage this huge amount of data. In this way, he or she can become an asset for the company. • Hadoop increases the computing power of a person. When an individual undertakes training in Hadoop, he or she would learn that Hadoop's computing model; is quite adept at quickly processing big data. Hence, the more computing nodes an individual uses, the more processing power they would have. • Hadoop is important in the context of increasing the flexibility of a company’s data framework. Hence, if an individual pursues a course in Hadoop, they can significantly contribute to the growth of a company. When compared to traditional databases, by using Hadoop you do not have to preprocess data before storing. Hadoop facilitates you to store as much data as you want.  • Hadoop also increases the scalability of a company. If a company has a team of workers who are adept at handling Hadoop, then the company can look forward to adding more data by just adding the nodes. In this case, little supervision is needed. Hence, the company can get rid of the option of an administrator. Additionally, it can be said that Hadoop facilitates the increasing use of business analytics thereby helping the company to have the edge over its rival in this slit throat competitive world. How much is Java needed to learn Hadoop? This is one of the most asked questions that would ever come to the mind of a professional from various backgrounds like PHP, Java, mainframes and data warehousing and want to get into a career in Big Data and Hadoop. As per many trainers, learning Hadoop is not an easy task, but it becomes hassle free if the students are aware of the hurdles to overpower it. As Hadoop is open source software which is built on Java, thus it is quite vital for every trainee in Hadoop to be well versed with the basics of Java. As Hadoop is written in Java, it becomes necessary for an individual to learn at least the basics of Java to analyze big data efficiently.  How to learn Java to pursue a course in Hadoop? If you are thinking of enrolling in Hadoop training, you have to learn Java as this software is based on Java. Quite interestingly, the professionals who are considering learning Hadoop can know the basics of Java from various e-books. They can also check Java tutorials online. However, it is essential to note that the learning approach of taking help from tutorials would best suit a person who is skilled at various levels of computer programming. On the other hand, Java tutorials would assist one to comprehend and retain information with code snippets. One can also enroll for several reputed online e-learning classes can provide great opportunities to learn Java to learn Hadoop. The prerequisites for pursuing a course in Hadoop One of the essential prerequisites for pursuing a course in Hadoop is that one should possess hands-on experience in good analytical and core Java skills. It is needed so that a candidate can grasp and apply the intriguing concepts in Hadoop. On the other hand, an individual must also possess a good analytical skill so that big data can be analyzed efficiently.  Learn more information about how to get master bigdata with hadoop certification  Hence, by undertaking a course in Hadoop, a professional can scale to new heights in the field of data analytics.  

The Present Day Scope of Undertaking a Course In Hadoop

15K
The Present Day Scope of Undertaking a Course In Hadoop

Hadoop is known as an open-source software framework that is being extensively used for running applications and storing data. Moreover, Hadoop makes it possible to run applications on systems that have thousands of commodity hardware nodes. It also facilitates the handling of thousands of terabytes of data. It is interesting to note that Hadoop consists of modules and concepts like Map-Reduce, HDFS, HIVE, ZOOKEEPER, and SQOOP. It is used in the field of big data as it makes way for fast and easy processing. It differs from relational databases, and it can process data that are of high volume and high velocity.

Who should undertake a course in Hadoop?

Now a days main question is Who can do hadoop course. A course in Hadoop suits those who are into ETL/Programming and looking for great job opportunities. It is also best suited for those managers who are on the lookout for the latest technologies that can be implemented in their organization. Hence, by undertaking a course in Hadoop, the managers can meet the upcoming and current challenges of data management. On the other hand, training in Hadoop can also be undertaken by any graduate and post-graduate student who is aspiring to a great career in big data analytics. As we all know, business analytics in the new buzz in the corporate world. Business analytics comprises of big data and other fundamentals of analytics. Moreover, as this field is relatively new, a graduate student can have endless opportunities if he or she decides to pursue a training course in Hadoop.

Why is Hadoop important for professionals and students?

In recent years, the context of pursuing a course in any professional subjects is of due importance. This is the reason that many present day experts are on the lookout for newer methods to enrich their skills and abilities. On the other hand, the business environment is rapidly changing. The introduction of Big Data and business analytics has opened up avenues of new courses that can help a professional in their growth. This is where Hadoop plays a significant role. By undertaking a course in Hadoop, a professional would be guaranteed of huge success. Following are the advantages that a professional would gain while taking a class in Hadoop- 

If a professional takes a course in Hadoop, then he or she will acquire the ability to store and process a massive amount of data quickly. This can be attributed to the fact that the load of data is increasing day by day with the introduction of social media and Internet of Things. Nowadays, businesses take ongoing feedback from these sites. Hence, a lot of data is generated in this process. If a professional undertakes a course in Hadoop, then he or she would learn how to manage this huge amount of data. In this way, he or she can become an asset for the company.

Hadoop increases the computing power of a person. When an individual undertakes training in Hadoop, he or she would learn that Hadoop's computing model; is quite adept at quickly processing big data. Hence, the more computing nodes an individual uses, the more processing power they would have.

 Hadoop is important in the context of increasing the flexibility of a company’s data framework. Hence, if an individual pursues a course in Hadoop, they can significantly contribute to the growth of a company. When compared to traditional databases, by using Hadoop you do not have to preprocess data before storing. Hadoop facilitates you to store as much data as you want. 

Hadoop also increases the scalability of a company. If a company has a team of workers who are adept at handling Hadoop, then the company can look forward to adding more data by just adding the nodes. In this case, little supervision is needed. Hence, the company can get rid of the option of an administrator. Additionally, it can be said that Hadoop facilitates the increasing use of business analytics thereby helping the company to have the edge over its rival in this slit throat competitive world.

How much is Java needed to learn Hadoop?

This is one of the most asked questions that would ever come to the mind of a professional from various backgrounds like PHP, Java, mainframes and data warehousing and want to get into a career in Big Data and Hadoop. As per many trainers, learning Hadoop is not an easy task, but it becomes hassle free if the students are aware of the hurdles to overpower it. As Hadoop is open source software which is built on Java, thus it is quite vital for every trainee in Hadoop to be well versed with the basics of Java. As Hadoop is written in Java, it becomes necessary for an individual to learn at least the basics of Java to analyze big data efficiently. 

How to learn Java to pursue a course in Hadoop?

If you are thinking of enrolling in Hadoop training, you have to learn Java as this software is based on Java. Quite interestingly, the professionals who are considering learning Hadoop can know the basics of Java from various e-books. They can also check Java tutorials online. However, it is essential to note that the learning approach of taking help from tutorials would best suit a person who is skilled at various levels of computer programming. On the other hand, Java tutorials would assist one to comprehend and retain information with code snippets. One can also enroll for several reputed online e-learning classes can provide great opportunities to learn Java to learn Hadoop.

The prerequisites for pursuing a course in Hadoop

One of the essential prerequisites for pursuing a course in Hadoop is that one should possess hands-on experience in good analytical and core Java skills. It is needed so that a candidate can grasp and apply the intriguing concepts in Hadoop. On the other hand, an individual must also possess a good analytical skill so that big data can be analyzed efficiently.  Learn more information about how to get master bigdata with hadoop certification 

Hence, by undertaking a course in Hadoop, a professional can scale to new heights in the field of data analytics.
 

Joyeeta

Joyeeta Bose

Blog Author

Joyeeta Bose has done her M.Sc. in Applied Geology. She has been writing contents on different categories for the last 6 years. She loves to write on different subjects. In her free time, she likes to listen to music, see good movies and read story books.

Join the Discussion

Your email address will not be published. Required fields are marked *

2 comments

Sunny Kumar 04 Jan 2018

Nice Post thanks for this sharing

Sundaresh K A 06 Apr 2018

Your post is informative content for hadoop learners.

SPECIAL OFFER Upto 20% off on all courses
Enrol Now

Trending blog posts

Suggested Blogs

5 Big Data Challenges in 2021

The year 2019 saw some enthralling changes in volume and variety of data across businesses, worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. With the rise in opportunities related to Big Data, challenges are also bound to increase.Below are the 5 major Big Data challenges that enterprises face in 2020:1. The Need for More Trained ProfessionalsResearch shows that since 2018, 2.5 quintillion bytes (or 2.5 exabytes) of information is being generated every day. The previous two years have seen significantly more noteworthy increments in the quantity of streams, posts, searches and writings, which have cumulatively produced an enormous amount of data. Additionally, this number is only growing by the day. A study has predicted that by 2025, each person will be making a bewildering 463 exabytes of information every day.A report by Indeed, showed a 29 percent surge in the demand for data scientists yearly and a 344 percent increase since 2013 till date. However, the searches by job seekers skilled in data science continue to grow at a snail’s pace at 14 percent. In August 2018, LinkedIn reported claimed that US alone needs 151,717 professionals with data science skills. This along with a 15 percent discrepancy between job postings and job searches on Indeed, makes it quite evident that the demand for data scientists outstrips supply. The greatest data processing challenge of 2020 is the lack of qualified data scientists with the skill set and expertise to handle this gigantic volume of data.2. Inability to process large volumes of dataOut of the 2.5 quintillion data produced, only 60 percent workers spend days on it to make sense of it. A major portion of raw data is usually irrelevant. And about 43 percent companies still struggle or aren’t fully satisfied with the filtered data. 3. Syncing Across Data SourcesOnce you import data into Big Data platforms you may also realize that data copies migrated from a wide range of sources on different rates and schedules can rapidly get out of the synchronization with the originating system. This implies two things, one, the data coming from one source is out of date when compared to another source. Two, it creates a commonality of data definitions, concepts, metadata and the like. The traditional data management and data warehouses, and the sequence of data transformation, extraction and migration- all arise a situation in which there are risks for data to become unsynchronized.4. Lack of adequate data governanceData collected from multiple sources should have some correlation to each other so that it can be considered usable by enterprises. In a recent Big Data Maturity Survey, the lack of stringent data governance was recognized the fastest-growing area of concern. Organizations often have to setup the right personnel, policies and technology to ensure that data governance is achieved. This itself could be a challenge for a lot of enterprises.5. Threat of compromised data securityWhile Big Data opens plenty of opportunities for organizations to grow their businesses, there’s an inherent risk of data security. Some of the biggest cyber threats to big players like Panera Bread, Facebook, Equifax and Marriot have brought to light the fact that literally no one is immune to cyberattacks. As far as Big Data is concerned, data security should be high on their priorities as most modern businesses are vulnerable to fake data generation, especially if cybercriminals have access to the database of a business. However, regulating access is one of the primary challenges for companies who frequently work with large sets of data. Even the way Big Data is designed makes it harder for enterprises to ensure data security. Working with data distributed across multiple systems makes it both cumbersome and risky.Overcoming Big Data challenges in 2020Whether it’s ensuring data governance and security or hiring skilled professionals, enterprises should leave no stone unturned when it comes to overcoming the above Big Data challenges. Several courses and online certifications are available to specialize in tackling each of these challenges in Big Data. Training existing personnel with the analytical tools of Big Data will help businesses unearth insightful data about customer. Frameworks related to Big Data can help in qualitative analysis of the raw information.
1329
5 Big Data Challenges in 2021

The year 2019 saw some enthralling changes in volu... Read More

How to install Apache Spark on Windows?

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.In this document, we will cover the installation procedure of Apache Spark on Windows 10 operating systemPrerequisitesThis guide assumes that you are using Windows 10 and the user had admin permissions.System requirements:Windows 10 OSAt least 4 GB RAMFree space of at least 20 GBInstallation ProcedureStep 1: Go to the below official download page of Apache Spark and choose the latest release. For the package type, choose ‘Pre-built for Apache Hadoop’.The page will look like below.Step 2:  Once the download is completed unzip the file, to unzip the file using WinZip or WinRAR or 7-ZIP.Step 3: Create a folder called Spark under your user Directory like below and copy paste the content from the unzipped file.C:\Users\\SparkIt looks like below after copy-pasting into the Spark directory.Step 4: Go to the conf folder and open log file called, log4j.properties. template. Change INFO to WARN (It can be ERROR to reduce the log). This and next steps are optional.Remove. template so that Spark can read the file.Before removing. template all files look like below.After removing. template extension, files will look like belowStep 5: Now we need to configure path.Go to Control Panel -> System and Security -> System -> Advanced Settings -> Environment VariablesAdd below new user variable (or System variable) (To add new user variable click on New button under User variable for )Click OK.Add %SPARK_HOME%\bin to the path variable.Click OK.Step 6: Spark needs a piece of Hadoop to run. For Hadoop 2.7, you need to install winutils.exe.You can find winutils.exe from below pageDownload it.Step 7: Create a folder called winutils in C drive and create a folder called bin inside. Then, move the downloaded winutils file to the bin folder.C:\winutils\binAdd the user (or system) variable %HADOOP_HOME% like SPARK_HOME.Click OK.Step 8: To install Apache Spark, Java should be installed on your computer. If you don’t have java installed in your system. Please follow the below processJava Installation Steps:Go to the official Java site mentioned below  the page.Accept Licence Agreement for Java SE Development Kit 8u201Download jdk-8u201-windows-x64.exe fileDouble Click on Downloaded .exe file, you will the window shown below.Click Next.Then below window will be displayed.Click Next.Below window will be displayed after some process.Click Close.Test Java Installation:Open Command Line and type java -version, then it should display installed version of JavaYou should also check JAVA_HOME and path of %JAVA_HOME%\bin included in user variables (or system variables)1. In the end, the environment variables have 3 new paths (if you need to add Java path, otherwise SPARK_HOME and HADOOP_HOME).2. Create c:\tmp\hive directory. This step is not necessary for later versions of Spark. When you first start Spark, it creates the folder by itself. However, it is the best practice to create a folder.C:\tmp\hiveTest Installation:Open command line and type spark-shell, you get the result as below.We have completed spark installation on Windows system. Let’s create RDD and     Data frameWe create one RDD and Data frame then will end up.1. We can create RDD in 3 ways, we will use one way to create RDD.Define any list then parallelize it. It will create RDD. Below is code and copy paste it one by one on the command line.val list = Array(1,2,3,4,5) val rdd = sc.parallelize(list)Above will create RDD.2. Now we will create a Data frame from RDD. Follow the below steps to create Dataframe.import spark.implicits._ val df = rdd.toDF("id")Above code will create Dataframe with id as a column.To display the data in Dataframe use below command.Df.show()It will display the below output.How to uninstall Spark from Windows 10 System: Please follow below steps to uninstall spark on Windows 10.Remove below System/User variables from the system.SPARK_HOMEHADOOP_HOMETo remove System/User variables please follow below steps:Go to Control Panel -> System and Security -> System -> Advanced Settings -> Environment Variables, then find SPARK_HOME and HADOOP_HOME then select them, and press DELETE button.Find Path variable Edit -> Select %SPARK_HOME%\bin -> Press DELETE ButtonSelect % HADOOP_HOME%\bin -> Press DELETE Button -> OK ButtonOpen Command Prompt the type spark-shell then enter, now we get an error. Now we can confirm that Spark is successfully uninstalled from the System.
9369
How to install Apache Spark on Windows?

Apache Spark is a fast and general-purpose cluster... Read More

Top In-demand Jobs During Coronavirus Pandemic

With the global positive cases for the COVID-19 reaching over two crores globally, and over 281,000 jobs lost in the US alone, the impact of the coronavirus pandemic already has been catastrophic for workers worldwide. While tourism and the supply chain industries are the hardest hit, the healthcare and transportation sectors have faced less severe heat. According to a Goldman Sachs report, the number of unemployed individuals in the US can climb up to 2.25 million. However, despite these alarming figures, the NBC News states that this is merely 20% of the total unemployment rate of the US. Job portals like LinkedIn, Shine, and Monster are also witnessing continued hiring for specific roles. So, what are these roles defining the pandemic job sector? Top In-demand Jobs During Coronavirus Pandemic Healthcare specialist For obvious reasons, the demand for healthcare specialists has spiked up globally. This includes doctors, nurses, surgical technologists, virologists, diagnostic technicians, pharmacists, and medical equipment providers. Logistics personnel This largely involves shipping and delivery companies that include a broad profile of employees, right from warehouse managers, transportation-oriented job roles, and packaging and fulfillment jobs. Presently, Amazon is hiring over 1,00,000 workers for its operations while making amends in the salaries and timings to accommodate the situation.  Online learning companies Teaching and learning are at the forefront of the current global scenario. With most of the individuals either working from home or anticipating a loss of a job, several of them are resorting to upskilling or attaining new skills to embrace broader job roles. The demand for teachers or trainers for these courses and academic counselors has also shot up. Remote learning facilities and online upskilling have made these courses much more accessible to individuals as well.  Remote meeting and communication companies The entirety of remote working is heavily dependant on communication and meeting tools such as Zoom, Slack, and Microsoft teams. The efficiency of these tools and the effectivity of managing projects with remote communication has enabled several industries to sustain global pandemic. Even project management is taking an all-new shape thanks to these modern tools. Moreover, several schools are also relying on these tools to continue education through online classes.  Psychologists/Mental health-related businesses Many companies and individuals are seeking help to cope up with the undercurrent. This has created a surge in the demand for psychologists. Businesses like PwC and Starbucks have introduced/enhanced their mental health coaching. Mental health and wellness apps like Headspace have seen a 400% increase in the demand from top companies like Adobe and GE.  Data analysts Hiring companies like Shine have seen a surge in the hiring of data analysts. The simple reason being that there is a constant demand for information about the coronavirus, its status, its impact on the global economy, different markets, and many other industries. Companies are also hiring data analysts rapidly to study current customer behavior and reach out to public sentiments.  How to find a job during the coronavirus pandemicWhether you are looking for a job change, have already faced the heat of the coronavirus, or are at the risk of losing your job, here are some ways to stay afloat despite the trying times.  Be proactive on job portals, especially professional networking sites like LinkedIn to expand your network Practise phone and video job interviews Expand your work portfolio by on-boarding more freelance projects Pick up new skills by leveraging on the online courses available  Stay focused on your current job even in uncertain times Job security is of paramount importance during a global crisis like this. Andrew Seaman, an editor at LinkedIn notes that recruiters are going by the ‘business as usual approach’, despite concerns about COVID-19. The only change, he remarks, is that the interviews may be conducted over a video call, rather than in person. If the outbreak is not contained soon enough though, hiring may eventually take a hit. 
8554
Top In-demand Jobs During Coronavirus Pandemic

With the global positive cases for the COVID-19 re... Read More

Useful links