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.