Big Data Technology Courses

Big Data Technology courses are designed to equip learners with the knowledge and qualifications required to analyze large datasets and interpret data insights. Learners will understand the fundamentals of big data technology, including data storing, processing, management, data mining, machine learning, and analytics. These online courses will also expose the learners to different areas of application, like healthcare, finance, and marketing, and gain an understanding of the various tools used in the field.

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What will you learn in Big Data Course?

Understanding the fundamentals of Big Data: Collection, storage, and analysis
Business decision-making: Understand and analyze data to make informed decisions
Problem-solving: Knowledge of using data insights to solve real-time business problems
Develop Big Data models: Knowledge to use data to create predictive models
Big Data tools: Understand different types of data analysis and visualization tools available
Data pool: Understand the different types of data sources available and how to access them.

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Big Data Technology Courses

Update skills in Big Data Technology with access to the best resources from top universities from the Great Learning online platform.

Skills you will gain from Big Data Technology Course

Knowledge and skills in Java, Python, R, Scala, and SQL programming languages
Working proficiency in big data frameworks like Apache Hadoop and Apache Spark
Knowledge of Big Data visualization tools like Tableau, QlikView, and Power BI
Expertise in MongoDB, Cassandra, and HBase NoSQL databases for complex datasets
Familiarity with AWS, Azure and Google Cloud Platform cloud service technologies
Understanding of Machine Learning algorithms and Data Mining techniques

About Big Data Technology

Big Data Technology stores, analyzes, manages, and processes large data sets. This technology enables businesses to understand customer behavior, trends, and patterns and uncover new insights efficiently. It also enables them to make better decisions, become more efficient, and respond quickly to environmental changes. Big Data Technology is essential in real life because it helps organizations make informed decisions based on accurate insights, leading to increased profitability, better customer service, and improved operational efficiency. Additionally, it can help organizations reduce risk and uncover new opportunities.

Big Data Technology expert as a career

A Big Data Technology expert is a professional knowledgeable about the latest technology and tools used for data collection, analysis, and storage. These experts work closely with IT departments and other stakeholders to build and manage databases, develop algorithms, and create reporting systems. Big Data experts are responsible for keeping up with the technology and trends surrounding Big Data and researching best practices and solutions for any possible problems. They must have strong analytical, problem-solving, communication, and programming skills and be able to work with various data sources such as databases, spreadsheets, and streaming data. Additionally, they must be able to interpret data and provide insights regarding trends, patterns, and correlations.

Importance of Big Data Technology

The need for Big Data Technology experts is increasing as companies worldwide leverage the power of Big Data to gain insights and drive business decisions. The technology is responsible for designing, developing, and implementing Big Data strategies, architectures, and applications. As experts in the field, Big Data professionals possess a combination of technical and business skills and knowledge of analytics tools and technologies. Companies are looking for this technical competency among employees, additionally with the experience and skills to help them stay ahead of their competition and use the data generated to uncover valuable insights.

Great Learning offers you an opportunity to learn Big Data, its main components, tools, and big data analytics with an upgraded syllabus from top universities. Register for these courses to understand your knowledge and earn abilities to work with fundamental and advanced skills in Data Science and Big Data-related fields. Elevate your competency working as a Big Data expert or other designations in relevance through these online courses.

Frequently asked questions

Why learn Big Data Technology?

Big Data technology is an important tool to help organizations make better-informed decisions. With the massive volumes of data organizations have to process and analyze, big data technology allows for faster, better-informed insights and conclusions. Big Data technology also helps organizations identify trends and patterns quickly, improving decision-making and helping to uncover hidden opportunities. Big data technology can also help organizations automate tasks and processes, saving costs and time.

Job roles with skills in Big Data Technology include:

Big Data Analyst
Big Data Engineer
Data Science Manager
Big Data Architect
Business Intelligence Developer

What are the popular PG courses to learn Big Data Technology?

These are the popular PG courses to learn Big Data Technology:

Why take Big Data Technology courses from Great Learning?

Great Learning collaborates with top universities to offer the best PG courses on Big Data Technology, its advanced concepts, tools and techniques. Learners gain a comprehensive understanding through interactive video lectures, online resources, projects, and assignments and earn PG certificates upon successful completion.

Which universities offer Big Data Technology online courses?

Here is the list of universities and programs that teach Big Data Technology in their curriculum,

PES University offers M.Tech in Data Science and Machine Learning
SRM Institute of Science and Technology offers M.Tech in Data Science Weekend Classroom Program
Great Lakes Executive Learning offers PG Program in Cloud Computing

What is the duration of Big Data Technology courses?

Here is the list of PG courses duration details to learn Big Data Technology, its tools and techniques,