Hadoop is an ecosystem of open source components that fundamentally changes the way enterprises store, process, and analyse data. Unlike traditional systems, Hadoop enables multiple types of analytic workloads to run on the same data, at the same time, at massive scale on industry-standard hardware. ACTE Hadoop training are designed in such a way that will upgrade the skill and make you to stand out in crowd. ACTE Imparts Hadoop Class Room & Online Training Course Enroll Now!!!
Hadoop skills are in demand – this is an undeniable fact! Hence, there is an urgent need for IT professionals to keep themselves in trend with Hadoop and Big Data technologies. Apache Hadoop provides you with means to ramp up your career and gives you the following advantages: Accelerated career growth.
Hadoop is the supermodel of Big Data. If you are a Fresher there is a huge scope if you are skilled in Hadoop. The need for analytics professionals and Big Data architects is also increasing . Today many people are looking to pursue their big data career by grabbing big data jobs as freshers.
Even as a fresher, you can get a job in Hadoop domain. It is definitely not impossible for anyone to land a job in the Hadoop domain if they invest their mind in preparing and putting their best effort in learning and understanding the Hadoop concepts.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Hadoop. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
A Hadoop Cluster uses Master-Slave architecture. It consist of a Single Master (NameNode) and a Cluster of Slaves (DataNodes) to store and process data. Hadoop is designed to run on a large number of machines that do not share any memory or disks. These DataNodes are configured as Cluster using Hadoop Configuration files. Hadoop uses a concept of replication to ensure that at least one copy of data is available in the cluster all the time. Because there are multiple copy of data, data stored on a server that goes offline or dies can be automatically replicated from a known good copy.
- To learn Hadoop and build an excellent career in Hadoop, having basic knowledge of Linux and knowing the basic programming principles of Java is a must. Thus, to incredibly excel in the entrenched technology of Apache Hadoop, it is recommended that you at least learn Java basics.
- Learning Hadoop is not an easy task but it becomes hassle-free if students know about the hurdles overpowering it. One of the most frequently asked questions by prospective Hadoopers is- “How much java is required for hadoop”? Hadoop is an open source software built on Java thus making it necessary for every Hadooper to be well-versed with at least java essentials for hadoop. Having knowledge of advanced Java concepts for hadoop is a plus but definitely not compulsory to learn hadoop. Your search for the question “How much Java is required for Hadoop?” ends here as this article explains elaborately on java essentials for Hadoop.
Apache Hadoop is an open source platform built on two technologies Linux operating system and Java programming language. Java is used for storing, analysing and processing large data sets. ... Hadoop is Java-based, so it typically requires professionals to learn Java for Hadoop.
Yes, you can learn Hadoop, without any basic programming knowledge . The only one thing matters is your dedication towards your work. If you really want to learn something, then you can easily learn. It also depends upon on which profile you want to start your work like there are various fields in Hadoop.
Our course ware is designed to give a hands-on approach to the students in Hadoop. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
Yes It is worth , Future will be bright. Learning Hadoop will definitely give you a basic understanding about working of other options as well. Moreover, several organizations are using Hadoop for their workload. So there are lot of opportunities for good developers in this domain. Indeed it is!
No Learning Hadoop is not very difficult. Hadoop is a framework of java. Java is not a compulsory prerequisite for learning hadoop. ... Hadoop is an open source software platform for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.
Hadoop framework can be coded in any language, but still, Java is preferred. For Hadoop, the knowledge of Core Java is sufficient, and it will take approximately 5-9 months. Learning Linux operating system: - It is recommended to have a basic understanding and working of the Linux operating system.
Hadoop brings in better career opportunities in 2015.
Learn Hadoop to pace up with the exponentially growing Big Data Market.
Increased Number of Hadoop Jobs.
Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies.
Hadoop in Different Domains
Let us now see how Hadoop is helping businesses to solve their problems and in which different domains Hadoop applications are being run.
Banking and Finance Sector
- The banking and Finance industries face some of the challenges like card frauds, tick analytics, archival of audit trail, enterprise credit risk reporting, etc.
- They use Hadoop to get an early warning for security fraud and trade visibility.
- They use Hadoop to transform and analyze customer data for better insights, pre-trade decision-support analytics, etc.
Communication, Media and Entertainment
- The communication, media, and entertainment industries face some challenges like collecting and analyzing consumer data for insights, finding patterns in real-time media usage, using social media, and mobile content.
- Using Hadoop, these companies analyze customers’ data for better insights, create content for different target audiences.
For example, Wimbledon Championships uses big data to deliver detailed sentiment analysis on the tennis matches to users in real-time.
Healthcare Providers
- The Healthcare sectors by using Hadoop analyzes the unstructured format of data that includes patient history, disease case histories. This helps them to effectively treat the patients effectively based on previous case histories.
- Identifying the disease that is common in a particular area, precautions can be taken, and medicines can be made available to those areas.
Education
- The education sector uses big data significantly.
- Tracks the log time, how much time students spend on different pages and overall progress of the student over time.
Government
- There are various government schemes that are in execution and are generating data tremendously.
- The Food and Drug Administration(FDA) is using Big Data to detect and study the patterns of food-related diseases, allowing for faster treatment responses
Hadoop job profile
There are various job profiles that fall for the person having relevant skills in Hadoop. Some of them are:
Hadoop Administrator
Hadoop Administrator sets up a Hadoop cluster and monitors it with monitoring tools. It keeps track of cluster connectivity and security.
Hadoop Architect
Hadoop Architect is the one who plans and designs the Big Data Hadoop architecture. He creates requirement analysis and manages development and deployment across Hadoop applications.
Big Data Analyst
Big Data Analyst analyses big data for evaluating companies technical performance and giving recommendations on system enhancement. They execute big data processes like text annotation, parsing, filtering enrichment.
Hadoop Developer
The main task of the Hadoop developer is to develop Hadoop technologies using Java, HQL, and scripting languages.
Hadoop Tester
The Hadoop tester test for errors and bugs and fixes the bugs. He makes sure that the MapReduce jobs, HiveQL scripts, and Pig Latin scripts work properly.
No technology even after 20 years will replace Apache Hadoop. Thus a person who is looking for his career in the field which never becomes out of fashion, Hadoop is the best choice for them.
