With the emergence of Big Data, all the organizations found new means of increasing their revenue, customer service, performance, and the efficiency of the system altogether. Big Data Analytics has enabled organizations to make effective decisions for the betterment of the industries along with reducing the cost of production. Big Data Analytics also provides hidden information in the raw data by critically analyzing every pattern.
Now, for the analysis of Big Data, all the traditional methods failed to provide the required results. This is because Big Data contains all kinds of raw data instilled in it which gives a hard time to all the traditional methods. Therefore, we needed new frameworks to tackle all the problems that come with Big Data. This is where Hadoop came into existence and marked its place in the sector of Information Technology.
What is Hadoop?
Hadoop is considered to be an open-source framework which allows you to distribute the data among various clusters in the systems and then work over it to give it a specific structure and a format. Hadoop is a software that eliminates the installation of heavy equipment and hardware in the system. With the help of several servers, Hadoop provides greater space for the storage and processing of the data. Moreover, the libraries present at the top of the layer of the application, maintain the efficiency of the data, and eradicates turbulence in the systems.
Benefits of Using Hadoop
Hadoop is getting increasingly famous in the world of IT due to its benefits and resourcefulness. Hadoop framework can single-handedly operate a variety of systems to process the raw data and apart from this, Hadoop offers several other benefits as well.
- Big Data consists of all kinds of data such as unstructured, semi-structured, or structured that need immediate assistance to be formatted. Hadoop can format any kind of data, no matter how small or large.
- Hadoop offers high power to process large bulks of data with the help of several interconnect clusters of systems.
- Hadoop connects a number of nodes to bring about the necessary information from the raw data. However, sometimes one of the nodes stop working due to some technical issue but this won't stop the working of Hadoop. This is because, in the case of a node failure, the work will simply transfer to another node to tolerate or tackle any fault in the system.
- Hadoop cuts down a large number of costs by eliminating the need of incorporating heavy machinery.
Top Hadoop Courses
The market of Hadoop has no limits and it is not going to stop even if it reaches sky-limit. The market has exceeded 6 Billion dollars mark since the year 2015 and it has been estimated that it will grow drastically and will outdo the $99.31 Billion mark in the coming years. Thus, several quintessential companies are more drawn to invest in the Hadoop framework and it is certainly the right time to acquire certifications in the Hadoop. Below mentioned are the top five Hadoop Courses which you can utilize to acquire authentic certifications and start a promising career.
- The Ultimate Hands-On Hadoop Course
Data Science Academy provides the most robust and quintessential training to excel in Hadoop instance and Data Science. The course offered by this academy are led by professional instructors who will guide you at every step of the way. By learning this course, you will acquire Hadoop certifications that will kick start your career in the advancing industry of Data Science. Moreover, this course will test your skills by giving you various projects and assignments which will enhance your Hadoop skills.
Enroll and acquire Hadoop certifications to kick start your career
- The Building Blocks of Hadoop Course
The Building Blocks of Hadoop Course is the Hadoop Course which shares the information in the form of videos. You caqn take this course to get a better understanding among the students about various environments to work on Hadoop.The Building Blocks of Hadoop Course covers the subject of Hadoop, Data Science, HDFS, MapReduce, and YARN.
- SQL on Hadoop
These Certifications are offered by many online portal as well as University of Washington which addresses all the Hadoop tools used for the processing of the data along with its storage. These certifications help the students to understand Spark, Hive, or any other professional needed to build a firm career in the respected field. You can take classes for 8 months or you can simply earn these courses online for bigger and better opportunities in the future.
- Introduction of Hadoop
Introduction of Hadoop provides greater insights into the problems that may come along with the processing of the Big Data. This course will enable you to have a special skill set that you can utilize to build your own Hadoop instance and pave the way to success. Apart from the Hadoop, these certifications also provide specific training and information on Data Science.
- Intro to Hadoop and MapReduce
Intro to Hadoop and MapReduce course and training for Hadoop shares all the information regarding different Hadoop components and tools used to process the large volumes of data such as Spark, Yarn, Hive, Impala, etc. The training of the students is initiated by a trained instructor and it goes on for a total of 40 hours. Moreover, this course offers various projects that will need practical implication of your Hadoop skills and this can prove beneficial because it will refine your skills. These projects are real-life projects that are presented by multinational companies to dig out the hidden talent in the students.
Join Data Science Academy and choose the best course for yourself today!