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What’s big data
Lesson
This introductory course from IBM will teach you the basic concepts and terminologies of big data and its real-life applications across multiple industries. You will gain insights into improving business productivity by processing large volumes of data and extracting valuable information.
What’s big data
Lesson
This introductory course from IBM will teach you the basic concepts and terminologies of big data and its real-life applications across multiple industries. You will gain insights into improving business productivity by processing large volumes of data and extracting valuable information.
What’s big data
Lesson
This introductory course from IBM will teach you the basic concepts and terminologies of big data and its real-life applications across multiple industries. You will gain insights into improving business productivity by processing large volumes of data and extracting valuable information.
What’s big data
Lesson
This introductory course from IBM will teach you the basic concepts and terminologies of big data and its real-life applications across multiple industries. You will gain insights into improving business productivity by processing large volumes of data and extracting valuable information.
What’s big data
Lesson
This introductory course from IBM will teach you the basic concepts and terminologies of big data and its real-life applications across multiple industries. You will gain insights into improving business productivity by processing large volumes of data and extracting valuable information.
Learning Outcomes
At the end of this BIG DATA ENGINEER MASTER’S PROGRAM, you will be able to:
Frameworks
Gain an in-depth understanding of the flexible and versatile frameworks in the Hadoop ecosystem, such as Pig, Hive, Impala, HBase, Sqoop, Flume, and Yarn
Master tools and skills
such as data model creation, database interfaces, advanced architecture, Spark, Scala, RDD, SparkSQL, Spark Streaming, Spark ML, GraphX, Sqoop, Flume, Pig, Hive, Impala, and Kafka architecture
Working with data
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
Insights
Achieve insights on how to improve business productivity by processing big data on platforms that can handle its volume, velocity, variety, and veracity
Analytics infrastructure
Gain expertise in creating and maintaining analytics infrastructure and own the development, deployment, maintenance, and monitoring of architecture components
Kafka & Amazon EMR
Achieve insights on how to improve business productivity by processing big data on platforms that can handle its volume, velocity, variety, and veracity. Understand how to use Amazon EMR for processing data using Hadoop ecosystem tools
Analytics infrastructure
Gain expertise in creating and maintaining analytics infrastructure and own the development, deployment, maintenance, and monitoring of architecture components
Kafka & Amazon EMR
Achieve insights on how to improve business productivity by processing big data on platforms that can handle its volume, velocity, variety, and veracity. Understand how to use Amazon EMR for processing data using Hadoop ecosystem tools
Key Features
Working with data
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
Working with data
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
Working with data
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
Working with data
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
Working with data
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
Working with data
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
Working with data
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
Working with data
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
About us
We guarantee you will gain all the necessary expertise and support during the training to obtain your certification. That's our promise!
Adding Value Consulting (AVC) is a leading Accredited Training Organization (ATO). We have introduced a large number of Best Practice methods in Scandinavia. We are experts in training and certification. Over the years, AVC has acquired extensive knowledge of various management methods, relevant practices, and experience in training. We offer individually tailored and flexible training based on our client's needs.
We offer more than 175 different certifications in areas such as Agile, Cyber Security, IT, and Project Management. We use eLearning, virtual, or classroom courses to meet our client's needs and achieve the highest results in knowledge, certification, and customer satisfaction. Our practical courses put theory into practice. We train you as close as possible to actual practice through interactive exercises and helpful discussions. We give you the tips and tools that work. You can immediately apply your new knowledge to your work.
Who Should Enroll in this Program?
A prominent data engineer builds and maintains data structures and architectures for data ingestion, processing, and deployment for large-scale, data-intensive applications. It’s a promising career for both new and experienced professionals with a passion for data, including:
IT professionals
Banking and finance professionals
Database administrators
Beginners in the data engineering domain
Students in UG/ PG programs
You
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