Big Data on AWS Training and Certification: Learn to process data and create big data environments
Big data refers to the efficient usage of the collection of data sets that are vast and complex. These complex and extensive data cannot be processed using on-hand database management tools or traditional data processing applications. Data processing will not be able to handle such data, and the need for different architecture and algorithms to process and store massive data arises. Handling of such data is possible by using automatic generation concept of Big Data.
The amount of data created and collected is significantly accelerating due to the current digital society. Analysis of such data is a challenge to the existing analytical tools. Big data tools and technologies provide efficient ways to analyze data and lets you gain a competitive edge in the market place.
Big data on AWS provides an analytical solution and specifically handles the growing amount of data and provide insights into ways by which your business can collect and analyze data.
By the end of this training, you will be able to build, secure and deploy big data applications using the integrated portfolio provided by Amazon Web Services. AWS lets you deploy your applications instantly without the need for any lengthy setup procedures.
Big Data on AWS Training Goals:
In this training, you will learn about the concepts of Big data, design and implement AWS services for Big data solutions. Amazon Web Services (AWS) provides reliable, flexible, and cost-effective computing services in the Cloud.
This training also teaches you to create big data environments and work with Amazon Redshift, Amazon DynamoDB, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and influence best practices to design big data environments for security and cost-effectiveness.
Big Data on AWS Training Overview:
Big Data on AWS introduces you to the cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the remaining AWS big data platform. In this training, you will learn to use Amazon EMR and process data using the. Hadoop tools like Hive and Hue.
What will I learn at Big Data on AWS Training:
- Learn to accommodate AWS solutions into a big data ecosystem
- Use Amazon EMR with Hadoop tools
- Identify the Amazon EMR cluster components
- Learn to Install and configure an Amazon EMR cluster
- Gain skills using the programming frameworks like Hive, Pig, and Streaming available for Amazon EMR
- Identify the relevant AWS data storage options.
- Understand to store and analyze data efficiently by using Amazon Redshift.
- Learn the advantages of using Amazon Kinesis for real time big data processing
- Identify the choices for ingesting, transferring and compressing data
- Perform query analytics using Amazon Athena
- Learn to secure the big data solution
- Understand and use Amazon Quicksight for visually depicting data and queries
Why get this Big Data on AWS certification?
Enroll in Big Data on AWS certification course to gain knowledge of Big data on AWS and deploy Big data analytics applications easily and quickly. Earning this certification, lets you handle the workload with huge volume, velocity, and variety of data.
Prerequisite for Big Data on AWS Training:
- Big Data Technology Fundamentals Certification
- AWS Technical Essentials Certification
- Working knowledge of core AWS services
- Basic awareness of Big data technologies like Hadoop, HDFS, MapReduce and SQL/NoSQL querying
- Basic understanding of data warehousing, relational database systems, and database design
Audience for Big Data on AWS Training:
- Enterprise Solutions Architects
- Big Data Solutions Architects
- Data Scientists
- Data Analysts
- Anyone interested in learning Big Data concepts
Big Data on AWS Learning Information:
- Live/Virtual Training in the presence of online instructors
- Quick look at Course Details, Contents, and Demo Videos
- Quality Training Manuals for easy understanding
- Anytime access to Reference materials
- Gain your Course Completion Certificate on the Topic
- Guaranteed high pay jobs after completing certification
Big Data on AWS Training Curriculum:
Lesson 1: Introduction to Big Data
This lesson introduces the basics of Big Data. Big Data Analysis indicates the analysis of data, where the data is massive in size(volume), variety, and generated at high velocity.
- Importance of Big Data
- Big Data Characteristics
- Big Data Processing
- Tools and Techniques for Analyzing Big Data
Lesson 2: Big Data Analysis
This lesson explains the advantages of Big data storage solutions using the Amazon services. Amazon offers the most reliable, high-performance storage solutions to run your big data analytics.
- Implementing Big Data Solutions
- Big Data Ingestion and Transfer
- Big Data Streaming and Amazon Kinesis
- Big Data Storage Solutions
- Big Data Processing and Analytics
Lesson 3: Introduction to Hadoop and MapReduce
Hadoop is an open source framework for efficiently working with Big data concepts. Hadoop allows you to access data that occurs distributed among clustered computers, process the data and manage the resources across the clustered computers.
Hadoop has a framework, which is made up of core modules such as Hadoop Distributed File System (HDFS), and Hadoop MapReduce.
- About Hadoop Architecture
- Overview of MapReduce Framework
- Introduction to MapReduce Programming
- About MapReduce and HDFS/S3
Lesson 4: Introduction to Amazon Analytics and Database Services
Amazon provides scalable, inexpensive and secure Database solutions. Amazon analytical solutions offer real-time data analysis and real time graphs to display reports.
- About Amazon Redshift
- Overview of Amazon Kinesis
- About Amazon Elastic MapReduce
- Introduction to Amazon DynamoDB
- About Amazon EC2 and its applications
Lesson 5: Storing and Querying Data
This class lets you learn the most valuable Amazon EMR solution that uses a hybrid approach to process and store data using AWS services and then load the processed data into an in-house database, and this database is accessible using the Reporting tool.
- Using Amazon EMR
- Process Server Logs With Hive on Amazon EMR
- Web Interfaces on Amazon EMR
- Run Pig Scripts in Hue on Amazon EMR
- Apache Spark on Amazon EMR