People often ask about Big Data and Hadoop, wondering where they came from and why they're so popular now. Instead of answering the questions repeatedly, we at Octovion decided to write about it for more people to understand.
Hadoop in Big Data is growing a lot, making storing data cheaper for companies. It helps companies plan their budgets, find customer records easily, and give personalized suggestions.
Companies and individuals are also interested in Hadoop for its job opportunities and growth. Many are changing their career paths to benefit from these opportunities. Taking an online Hadoop certification course can help you learn more about it.
What is Hadoop and How Businesses are Using it
Hadoop is an open-source framework that handles Big Data by dividing tasks across many computers. It can go from one server to thousands, each doing its own computing and storing. Hadoop splits files into blocks and spreads them out over many machines. If one machine fails, there are backups.
It specializes in analyzing large unstructured data sets as an open-source framework, showcasing significant potential. Major companies have recognized their capabilities and are experiencing positive outcomes. Here are a couple of well-known success stories involving Hadoop:
New York Times: The renowned newspaper company, New York Times, employs Hadoop to convert its vast 4 million data points into PDFs. With Hadoop's assistance, this entire process, which would be tedious with traditional methods, is completed in 36 hours.
Walmart: The popular American retail giant, Walmart, utilizes Apache Hadoop to generate personalized recommendations for its customers based on recent data analysis. This approach has proven to be a successful strategy for Walmart.
Businesses use Hadoop to process large sets of data. It's not just massive data; it can handle structured, semi-structured, and unstructured data. This includes internet records, social media posts, customer emails, and data from IoT sensors. Hadoop makes dealing with Big Data easy. That's why there's a high demand for Hadoop professionals in the job market and a much sought-after job these days.
Skills Required for Hadoop Professionals
Skills required for Hadoop professionals vary across job domains, such as Hadoop Developer, Hadoop Architect, Hadoop Administrator, Hadoop Tester, and Data Scientist.
Professionals in Hadoop need to have an analytical mindset and be adaptable, capable of learning and unlearning as needed. Some key skills for Hadoop professionals include the ability to work with massive amounts of data to extract business insights, using Hadoop for Big Data analytics, proposing data-driven strategies, proficiency in object-oriented programming (OOP) languages like Java, C++, and Python, understanding of database theories, structures, categories, and best practices, as well as knowledge of installing, configuring, maintaining, and securing Hadoop.
These professionals are familiar with various tools like Apache Flume, HBase, Hive, Oozie, Phoenix, Pig, etc. Hadoop is applied in different scenarios, such as customer analytics, risk management, and operational intelligence. Therefore, Hadoop professionals, especially those holding Hadoop certifications, are sought after in the job market.
Why Should One Learn Hadoop
Learning Hadoop is highly recommended, especially as major companies will likely make it a mandatory skill. Hadoop is crucial for processing vast amounts of data, including zettabytes and large unstructured data sets. While initially may seem complex, beginners can easily acquire Hadoop skills through various online courses. The advantages of learning Hadoop are significant and include.
Cost-Effective: Hadoop is more economical than traditional systems because it is open source and stores data on commodity hardware.
Scalable: Hadoop can be effortlessly upgraded by adding more cluster nodes, providing scalability to accommodate growing data needs.
Speedy Processing: Hadoop distributes data across clusters rapidly, reducing data processing time. This swift technology allows the processing of terabytes within minutes and petabytes within a few hours.
Fault Tolerance: Hadoop can resist failure effectively by replicating data. In the event of network failure, the replicated data can be used, as Hadoop allows data to be replicated or copied multiple times.
Companies increasingly choose Hadoop for its numerous advantages, contributing to revenue generation and improved data processing capabilities.
Hadoop Certifications in the Market
Several market leaders offer various Hadoop certifications, allowing individuals to choose based on personal preferences, organizational needs, cost considerations, and certification validity. Certifications cater to different roles, such as data scientists, developers, or administrators. Here are some notable Hadoop certifications from different providers.
Cloudera Certifications
- Cloudera Hadoop Certification
- Cloudera Certified Professional – Data Scientist (CCP DS)
- Cloudera Certified Administrator for Hadoop (CCAH)
- Cloudera Certified Hadoop Developer (CCDH)
(Cloudera certifications are suitable for data scientists.)
Hortonworks Certifications
- Hortonworks Certified Apache Hadoop Developer (HCAHD)
- Hortonworks Certified Apache Hadoop Administrator (HCAHA)
MapR Certifications
- MapR Certified Hadoop Developer (MCHD)
- MapR Certified Hadoop Administrator (MCHA)
- MapR Certified HBase Developer (MCHBD)
Learners can choose the certification that aligns with their roles and career goals.
Key takeaways
The Hadoop ecosystem presents job opportunities for newcomers and seasoned industry professionals. Those with experience as ETL (Extract, Transform, Load) experts, architects, and mainframe experts have a competitive edge over freshers due to their existing technical background.
For learners in the United States seeking Hadoop-related jobs, it's worth noting that the widespread adoption of Big Data technologies influences the market demand. Many companies, especially in sectors like finance, healthcare, and technology, are incorporating Hadoop for its capabilities in handling and analyzing large datasets.
To enhance job prospects, aspiring candidates can consider pursuing online Hadoop certification courses like those in the above section, which many employers recognize as a validation of expertise. The demand for professionals with Hadoop skills is evident in job portals, company career pages, and professional networking platforms where numerous job postings specifically mention Hadoop as a required or preferred skill.
The job roles related to Hadoop in the U.S. consist of positions such as Hadoop Developer, Administrator, Big Data Engineer, Data Scientist, and more. Job seekers are encouraged to explore online job platforms, attend industry events, and connect with professionals in the field to stay updated on the latest opportunities and skill requirements. If you are looking for Hadoop training online and assured placements, Octovion must be your go-to place. Get in touch with us at +1 (908) 617-0009 or drop us a line at [email protected] for details on our newest IT skill courses.
Comments