Last updated on April 2nd, 2024 at 06:39 am
Hadoop is an open-source software framework to store data and running applications on clusters of commodity hardware. It provides massive storage for different data types, enormous processing power, and the ability to handle virtually limitless concurrent tasks or jobs.
Hadoop programming is a vital skill in today's world for people looking to build a career in Data Science. Hadoop processes large data sets across clusters of computers using simple programming models called MapReduce jobs.
Importance of Hadoop for Organizations?
- The ability to store & process enormous data quickly makes Hadoop development a much-needed thing for organizations.
- Hadoop's distributed computing model processes big data in no time. With more computing nodes, you have better processing power.
- Hadoop is equipped with fault tolerance and guard against hardware failure. If a node goes down, tasks are automatically redirected to other nodes to ensure that distributed computing doesn't fail.
- You can quickly scale your system and handle more data simply by adding nodes.
How is Hadoop Used?
Hadoop development is used in a variety of ways. It can be deployed for batch processing, real-time analysis, and machine learning algorithms. The framework has become the go-to technology to store data when there's an exponential growth in its volume or velocity. Some common uses of Hadoop include:
Low-cost storage and data archive
Hadoop stores and combines data such as transactional, sensor, social media, machine, scientific, clickstreams, and the modest cost of commodity hardware makes it more likable. The low-cost storage lets you keep data and use it as & when needed!
Secure for analysis & discovery
Since Hadoop was designed to deal with massive data, it is efficient in running analytical algorithms. Big data analytics on Hadoop can help organizations operate efficiently, uncover opportunities and derive next-level competitive advantage. This approach provides opportunities to innovate with minimal investment.
Data lake
Data lakes back up data stored in original form. The objective is to offer a raw view of data-to-data scientists and analysts for discovery and analytics. It helps them ask new questions without constraints. Data lakes are a huge topic for IT and may rely on data federation techniques to create logical data structures.
IoT and Hadoop
Hadoop is commonly used as a data store for millions of transactions. Massive storage and processing allow Hadoop to be used as a sandbox to discover and define patterns monitored for instruction.
Build a Career in Data Science:
Data analytics is a lucrative career and is high in demand and low in supply. It's a field requiring plenty of expertise to master. But what if you have the ambition but lack the know-how? What do you do?
Data science courses or Data Analytics courses can help you gain better insights into the field. For a person to be technically sound, education, training, and development are the foremost steps.
Imarticus Learning offers some best data science courses in India, ideal for fresh graduates and professionals. If you plan to advance your Data Science career with guaranteed job interview opportunities, Imarticus Learning is the place to head for today!
The certification programs in data science are designed by industry experts and help students learn practical applications to build robust models and generate valuable insights.
The rigorous exercises, live projects, boot camps, hackathons, and customized capstone projects will prepare students to start a career in Data Analytics at A-list firms and start-ups throughout the program curriculum.
The industry connections, networking opportunities, and data science course with placement are other salient features that draw attention from learners.
For more details on the transformative journey in data science, contact Team Imarticus through the Live Chat Support system and request virtual assistance!
