Description

Dive into the heart of Big Data Infrastructure, exploring storage systems, distributed file frameworks, and processing paradigms. This course provides a comprehensive understanding of key components like HDFS, Apache Spark, and Cassandra, offering insights into their architecture, use cases, and real-world applications.

This course is a deep dive into the complex landscape of Big Data Infrastructure. From unravelling the architecture of Apache Spark to dissecting the benefits of distributed file systems, participants gain expertise in assessing, comparing, and implementing various Big Data storage and processing systems. Scalability, fault-tolerance, and industry-specific case studies add practical depth to theoretical knowledge.

After the successful completion of this course, you will be able to:

Understand the Components of Big Data Infrastructure, Including Storage Systems, Distributed File Systems, and Processing Frameworks.

Identify the Characteristics and Benefits of Distributed File Systems Such as Hadoop Distributed File System (H.D.F.S).

Describe the Architecture and Capabilities of Apache Spark and its Role in Big Data Processing.

Recognise the Use Cases and Benefits of Apache Cassandra as a Distributed N..O.S.Q.L Database.

Compare and Contrast Different Big Data Storage and Processing Systems Such as Hadoop, Spark, and Cassandra.

Understand the Scalability and Fault-tolerance Mechanisms Used in Big Data Infrastructure, Such as Sharding and Replication.

Appreciate the Challenges Associated with Deploying and Managing Big Data Infrastructure, Such as Hardware and Software Configuration and Security Considerations.

Explore the intricacies of Big Data Infrastructure, from understanding storage systems to unraveling the nuances of distributed file frameworks and processing engines. Gain a comprehensive view of scalability, fault-tolerance mechanisms, and industry-specific challenges through engaging case studies. Equip yourself to navigate the dynamic landscape of Big Data with confidence and expertise.

VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight.

Navigating the MSBM Study Portal Watch this video to gain further insight.

Interacting with Lectures/Learning Components Watch this video to gain further insight.

Big Data Infrastructure Self-paced pre-recorded learning content on this topic.

Big Data Infrastructure Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct.

All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details.

There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course.

The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience.

Big Data Infrastructure Engineer

Hadoop Administrator

Spark Developer

Cassandra Database Administrator

Big Data Solutions Architect

Data Infrastructure Manager

NoSQL Database Analyst

Big Data Consultant

Average Completion Time

2 Weeks

Accreditation

3 CPD Hours

Level

Advanced

Start Time

Anytime

100% Online

Study online with ease.

Unlimited Access

24/7 unlimited access with pre-recorded lectures.

Low Fees

Our fees are low and easy to pay online.

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Professional Certificate Course in Big Data Infrastructure in London 2024

By Metropolitan School of Business & Management UK

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