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The Certificate in Hadoop Foundation (Entry Level) course is meticulously designed for beginners to have a profound understanding of Hadoop technology and big data. This course covers a comprehensive introduction to Hadoop’s essential concepts and features, enabling participants to develop a solid understanding of the Hadoop ecosystem and its applications.
The participants can expect more than 30 to 40 questions at this test level, but it depends on the institution, and they should score around 75%.
Teklabs USATeklabs USA
100% Job assistanceOnline,Classroom Hadoop training instructed by TekLabs in ,CA comes with course materials by experienced lecturers. Learn and get certified as a developer in Hadoop file system and become an expert by mastering in cluster administration, HBase analysis, apache drill, MapReduce, Yarn, Oozie, Pig, Flume and Sqoop. Also available is a Certificate on course completion and video tutorials along with facilities such as Career Guidance
Teklabs provides collection of technology trainings where people can enhance their technology skills in-class or online to level up in tech.
100% Job assistanceHadoop Online Training instructed by Pro Career in Parker, CO comes with course materials taught by experienced lecturers. We teach both in lecture and practical training, Learn Hadoop and earn hadoop certification through instructor led course and video tutorials. Duration of the course 45 days each day 2hours sessions from now
This course helps to understand big data concepts, MapR converged data platform and application development principles. Learn online or in person - The lessons are covered on basics of MapR Streams (motive behind) and Architecture (core components).
100% Job assistanceOnline Hadoop training instructed by IT Tutor PRO in ,MA comes with course materials by experienced lecturers. Learn and get certified as a developer in Hadoop file system and become an expert by mastering in cluster administration, HBase analysis, apache drill, MapReduce, Yarn, Oozie, Pig, Flume and Sqoop. Also available is a Certificate on course completion and video tutorials along with facilities such as Placement
Hadoop
100% Job assistanceOnline Hadoop training instructed by IT Career Cloud in Sheridan,WY comes with course materials by experienced lecturers. Learn and get certified as a developer in Hadoop file system and become an expert by mastering in cluster administration, HBase analysis, apache drill, MapReduce, Yarn, Oozie, Pig, Flume and Sqoop. Also available is a Certificate on c ourse completion and video tutorials
Hadoop
100% Job assistanceOnline Hadoop training instructed by Spark Software Solutions in ,TX comes with course materials by experienced lecturers. Learn and get certified as a developer in Hadoop file system and become an expert by mastering in cluster administration, HBase analysis, apache drill, MapReduce, Yarn, Oozie, Pig, Flume and Sqoop. Also available is a Certificate on course completion and video tutorials along with facilities such as Career Guidance
Hadoop
100% Job assistanceOnline Hadoop training instructed by ENCODE IT INC in ,NY comes with course materials by experienced lecturers. Learn and get certified as a developer in Hadoop file system and become an expert by mastering in cluster administration, HBase analysis, apache drill, MapReduce, Yarn, Oozie, Pig, Flume and Sqoop. Also available is a Certificate on course completion and video tutorials along with facilities such as Placement
Hadoop
The Hadoop Common course is designed to provide a comprehensive understanding of the core components and utilities that support the Hadoop ecosystem. Also known as Hadoop Core, this essential set of libraries and functions is integral to the Apache Hadoop framework, enabling efficient processing and management of large-scale data. This course is ideal for professionals looking to deepen their knowledge of Hadoop's foundational elements and gain practical skills in configuring and managing Hadoop systems.
This big data Hadoop development certification course helps you learn from the beginning level to the advance level, where the instructors will provide real-world issues and solutions as example to understand the concepts.
In this hadoop yarn course training begins from the fundamentals to yarn Architecture, installation and commands with livelessons. Find the tutorials from the experts and Live project-based trainers with hands-on training and real-world examples. Come Join the certification course to kick start your career and spark into Big Data Hadoop.
This Apache Spark training provides an in-depth exploration of the fast and efficient open-source cluster computing framework known for its high performance and interactive computations. Participants will learn how Apache Spark outperforms Hadoop MapReduce and discover its features and applications, including batch processing and stream processing.
Hadoop Administration training course is designed for administrator with Big Data Apache Hadoop and MapR Converged Data Platform Essentials. This course curriculum covers MapR Cluster installation, configuration and Maintenance, also the tutorial teaches the MapR Streams Essentials & how to build simple applications. Our instructors in the United States are Certified Cluster Admin with real time experience on the subject, classes are at your convenience to learn the beginner, intermediate & expert level.
“Hadoop Courses – you will learn with hands on practice, in-class seminars, training and certification from the list of World’s finest trainers”. Below listed Education Institutes provides you course materials, tutorial curriculum, demo videos, sample questions, books, tips and tricks. Get ~object.primarytag lectures by experts and practical lessons by instructors to improve your technical skills. Students will benefit with job placements and visa assistance in the United States.
“Hadoop Courses – you will learn with hands on practice, in-class seminars, training and certification from the list of World’s finest trainers”. Below listed Education Institutes provides you course materials, tutorial curriculum, demo videos, sample questions, books, tips and tricks. Get ~object.primarytag lectures by experts and practical lessons by instructors to improve your technical skills. Students will benefit with job placements and visa assistance in the United States.
Launch your career in data engineering with hands-on training from industry experts. Master in-demand skills like SQL, Python, Spark, and data architecture. Learn to collect, process, and manage data for analytics—perfect for beginners. Start building scalable data systems today!
“Hadoop Courses – you will learn with hands on practice, in-class seminars, training and certification from the list of World’s finest trainers”. Below listed Education Institutes provides you course materials, tutorial curriculum, demo videos, sample questions, books, tips and tricks. Get ~object.primarytag lectures by experts and practical lessons by instructors to improve your technical skills. Students will benefit with job placements and visa assistance in the United States.
“Hadoop Courses – you will learn with hands on practice, in-class seminars, training and certification from the list of World’s finest trainers”. Below listed Education Institutes provides you course materials, tutorial curriculum, demo videos, sample questions, books, tips and tricks. Get ~object.primarytag lectures by experts and practical lessons by instructors to improve your technical skills. Students will benefit with job placements and visa assistance in the United States.
Welcome to our comprehensive Big Data program, where we offer flexible big data online training to accommodate your schedule and dedicated Big data training and placement assistance to help you secure rewarding career opportunities. Additionally, our commitment extends beyond training with ongoing Big data job support, ensuring your success in the ever-evolving field of Big Data. Explore the vast possibilities of big data with our tailored online courses, which will provide you with the skills and knowledge
Welcome to our comprehensive data analysis training program to equip you with the essential skills and knowledge needed to excel in data analysis. Our training goes beyond theoretical concepts, providing hands-on experience and practical insights to help you become proficient in interpreting and analyzing complex datasets effectively.
Organizations and businesses should strategize their approach in dealing with the enormous data they generate and consume. They should avoid data overrun with the right analytical tools. The relational database management system (RDBMS) which was useful in analyzing structured data proved inefficient and incapable in dealing with the velocity, variety, and volume of big data. The traditional business intelligence tools analyzed historical data from the customers, which was primarily transactional.
With the advent of big data, organizations are looking for technologies and tools that support scalability, cost-effectiveness, flexibility, and fault tolerance. Big data analysis needs a lot more from analyzing historical transactional data. Big data analytics require recognition of subtle patterns, a shift in consumer behavior. Some of the unstructured data that Hadoop handles are:
GPS Outputs-> Computer Logs-> Industrial Sensor Data-> Social Media Data-> Text Content-> Images,Videos,MP3s
The open source powerful tool – Apache Hadoop answers most of the challenges mentioned above. The deployment of Apache Hadoop is simple and straightforward. Hadoop used distributed processing technology for data storage. The acceptability and usage of Apache Hadoop are increasing year on year globally. The revenue in billions is shown in the figure below.
Global Hadoop Market Revenue, 2016 – 2022 (USD Billion)
Yahoo and Facebook widely use Hadoop. The Hadoop market is divided based on end users, geographies and type od sector. The sector type consists of hardware, software, and service sectors. Segmentation by the end user is done as BFSI, Government Sector, IT & ITES, Healthcare, Telecommunication, Retail, and Others. Segmentation by geography is in North America, Europe, Asia-Pacific, Latin America and The Middle East and Africa.
Hardware <-> Services<->Software<->
The North America region will lead to revenues in the near future as per the market research reports. The revenues are expected to rise by 25.85 billion by 2020. Apache Hadoop is proliferating in the hardware and services industries. Among the hardware and services segment, Services market is more dominant.
The services market is further sub-divided as follows:
Middleware and Support -> Consulting -> Training and Outsourcing -> Integration and deployment
The major driving factors for the increase in demand for Hadoop are huge volume of unstructured data, and exponentially increasing demand for data analytics. The overall Hadoop market is expected to grow too USD 87.14 Billion by 2022.
There are several factors impacting the growth of Apache Hadoop market.
The significant factors impacting the growth of Apache Hadoop
1. Investment increase in big data: The venture capitalists prefer to invest in the big data domain for the startups and SMEs. Hadoop bags a lion share.
2. Swift and cost-effective solutions: Apache Hadoop provides quick and cost-effective solutions and data analysis compared to traditional tools like RDBMS.
3. Unmanageable unstructured data: IDC (International Data Corporation) forecasts that the unstructured data would reach more than forty zettabytes by 2020. Apache Hadoop will be the software to manage and handle this data.
4. Demand for data analytics: Data analysis aids in strategic decision making in sectors like banking and finance, health care, telecommunications, service sectors, etc. Hadoop can conduct data analysis on customer transactions, historical data, supply chain, etc.
5. The scarcity of Hadoop professionals: There is a demand-supply gap of Hadoop professionals. There is approximately thirty percent of the total labor supply available in the US market.
6. Enterprise-wide Adoption and acceptance: Apache Hadoop has simple and easy to use interface. It is the most preferred framework by many IT architects.
7. Handle real-time operations: Hadoop and big data technologies handle real-time operations very efficiently.
8. Fault injection framework: the Hadoop deployment framework is robust due to injection framework. Even during the time of failure, the Hadoop configuration changes without a restart. Hence, Hadoop technology has high availability compared to other conventional technologies.
9. Cost-effective: Hadoop deployment is cost-effective compared to the relational database management system.
10. Winning Strategies: Hadoop has some winning strategies in the big data market. The primary strategy adopted is product launches and partnerships. Other strategies are expansion and agreements.
Global Hadoop Market Size and Forecast, 2013 – 2020 ($Million)
Source: Allied market research
Growth potential for Apache Hadoop is high in the USA. There is a need for Hadoop trained professionals to fills the demand-supply gap. Organizations are investing heavily in Big data Hadoop to manage their zillions of unstructured data. Hadoop has become synonymous with big data.
After analyzing the market and understanding the trends of Hadoop, here are the reasons why you should learn Hadoop.
1. Hadoop is a revolutionary big data analysis solution for unstructured and structured data
2. The Hadoop adoption is growing very fast
3. There is a huge skill gap for Hadoop professionals
4. The skill gap creates demand, and Hadoop professionals get fat salaries
5. Hadoop is easy to learn from any software domain
6. Hadoop can work on multiple domains
7. Hadoop professionals get placed in different job roles.
Some practical examples which will inspire you the way Hadoop works:
1. New York times converts approximately four million entities into PDF format in less than thirty-six hours
2. Walmart uses the Hadoop framework to analyze social media content
CONCLUSION:Hadoop is a growing technology, and there are no chances of deceleration. Anysoftware professional with programming knowledge can learn Hadoop. It’s hightime to learn Hadoop and take a plunge into the dynamic and challenging careerof Big data. There are different job roles available based on the depth-of-knowledgeand skill sets. Organizations are paying high to attract and retain ApacheHadoop professionals. Training is available online and offline. Chooseconvenient learning now and step into the fantastic world of Big data Hadoop.
Hadoop is a java based open source programming framework which supports storage and huge data processing in distributed computing environment. Hadoop is sponsored by Apche software foundation. Different industry verticals are growing and sectors like telecommunication, retail, financial services, government, health care, media, and entertainment are growing with massive data sets.
Apache Hadoop helps to analyze big data with one hundred percent accuracy. Hadoop helps organizations to take informed business decisions from numerous structured and unstructured data. According to indeed.com, there are more than 7000 postings for Apache Hadoop jobs. The salary range for Hadoop developers in the USA is $119,350 to $168,350. A hadoop developer will be highly evaluated by a competitor company. Suppose a developer draws $120,000 PA, the competitor will evaluate the person at $150,000. It is imperative for Hadoop developer to stay updated as every six weeks there is a new technology release.
There are over 500 job opportunities in startups for Hadoop developer in Bay Area, CA. The most populated states of Hadoop Developers are New York, New Jersey, Texas, and California.
HADOOP JOBS in CALIFORNIA (CA) | ||
S.No | Company Name | Average Salary for Hadoop Skill |
1 | Hortonworks | $170,472 |
2 | Paxata | $159,000 |
3 | Cloudera | $134,331 |
4 | Walmart | $128,253 |
5 | Sumo Logic | $121,219 |
6 | Akamai | $128,046 |
7 | Adobe | $162,910 |
8 | HCSC | $98,000 |
9 | Randstad US | $105,192 |
10 | Amazon Lab126 | $153,366 |
11 | Groupon | $133,565 |
12 | Yahoo | $95,000 |
HADOOP CAREERS in NEW JERSEY (NJ) | ||
S.No | Company Name | Average Salary for Hadoop Skill |
1 | L&T Infotech | $130,000 |
2 | Open Systems Technologies | $123,000 |
3 | MapR | $114,000 |
4 | AT&T | $111,000 |
5 | Verizon | $80,000 |
6 | AIG | $139,000 |
7 | Sonsoft Inc. | $75,000 |
8 | UPS | $66,000 |
9 | State Street | $95,000 |
HADOOP JOB OPENINGS in NEW YORK (NY) | ||
S.No | Company Name | Average Salary for Hadoop Skill |
1 | Bloomberg L.P | $144,000 |
2 | Square | $125,000 |
3 | Microsoft | $121,000 |
4 | Datastax | $119,000 |
5 | Citi | $115,000 |
6 | Capgemini | $100,000 |
7 | Goal Coast IT Solutions | $99,000 |
8 | Federal Reserve Bank of New York | $98,000 |
HADOOP JOB VACANCIES in TEXAS (TX) | ||
S.No | Company Name | Average Salary for Hadoop Skill |
1 | OpenX | $165,000 |
2 | Visa | $125,000 |
3 | Pivotal | $111,000 |
4 | VMware | $119,000 |
5 | Maxpoint Interactive | $105,000 |
6 | Bank of America | $120,000 |
HADOOP JOB PROSPECTS in VIRGINIA (VA) | ||
S.No | Company Name | Average Salary for Hadoop Skill |
1 | Opower | $148,000 |
2 | Altamira Technologies | $115,000 |
3 | Booz Allen Hamilton | $110,000 |
4 | CSC | $108,000 |
5 | Northrop Grumman | $98,000 |
6 | Capital One | $132,000 |
HADOOP WORK in WASHINGTON DC | ||
S.No | Company Name | Average Salary for Hadoop Skill |
1 | Deloitte | $121,000 |
2 | Accenture | $115,000 |
3 | IBM | $110,000 |
4 | Tableau Software | $107,000 |
5 | HP | $91,000 |
6 | JP Morgan Chase | $131,000 |
The job designation for Big data Hadoop – filled and unfilled positions
Filled job vs unfilled jobs in big data | ||
Data Scientist | 18 | 82 |
Big Data Visualizer | 23 | 77 |
Big Data Research Analyst | 31 | 69 |
Big Data Engineer | 44 | 56 |
Big Data Architect | 43 | 57 |
Big Data Analyst | 50 | 50 |
The salary offered to Big Data Hadoop professionals in comparison with othertechnologies
According to Forbes, startups, small and medium-sized companies will invest in big data. The investment will be significant and will have an impact on their return on investment. The Apache Hadoop skills will be in demand. Knowledge of Hadoop will give an accelerated growth in Hadoop career for any software professional in the USA. The job trends are not short-lived, hence Hadoop professionals will be in high demand drawing fat salaries in the United States.
According to IDC, Hadoop is now become synonymous with big data and will grow at 58.2% CAGR between 2013 and 2020. The annual investment in Big Data will reach upto $48.6 million by 2020. The big data market is predicted to reach 46.5% by 2020 and its related services may grow at a compounded annual growth rate (CAGR) of 24% by 2019.
According to Forbes, the job demand for sales professionals selling big data solutions is also skyrocket. Some of the Hadoop job roles in the US which are currently in demand and will continue to be in demand are mentioned in the table below.
Hadoop based job-titles | Percent of growth – Year on Year |
Software developers | 95% |
System engineers | 93% |
System Architects | 94% |
Information security Analysts | 280% |
Project managers | 123% |
Management analyst | 163% |
System Analysts | 145% |
Hadoop learning can pave three career paths for any big data professional. Hadoop administration, development and analytics. For Hadoop administration, you must have sound knowledge in Linux and networking concept. To take the development career path, you must have sound knowledge in Java and SQL. To make the analytics path, you must have sound knowledge in R-Hadoop. We strongly recommend you to have sound knowledge of the entire ecosystem.
If you observe any social media platform like facebook, twitter, eBay, Etsy etc., they use Big data Hadoop to analyze terabytes of data. This data is analyzed by developers. However, there is a shortage of developers despite the huge demand. We strongly recommend you to plunge into the fantastic world of Big Data by getting trained in the Hadoop ecosystem.
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It is evident that the world is revolutionized by data and Information Technology. More than ‘2.5 quintillion bytes of data’ is created daily across the globe. Surprisingly, the data created during last 2 years accounts for 90% of the entire data in the world! This rate of data creation keeps climbing rapidly every day. Big Data professionals are the heart of this tremendous evolution who are responsible to handle such huge volumes of data!
