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BIGDATA ON AWS

Big data on AWS (Amazon Web Services) refers to the utilization of AWS services and infrastructure for storing, processing, and analyzing large volumes of data. AWS provides a comprehensive set of tools and services specifically designed to handle big data workloads efficiently and effectively.

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The Syllabus

Curriculum Designed by Experts

Module 1 : Introduction to Big Data on AWS

• Overview of big data concepts and challenges
• Introduction to AWS cloud computing services
• Understanding the AWS big data ecosystem
• Architectural considerations for big data on AWS

Module 2: Data Storage on AWS

• Overview of AWS storage services (S3, EBS, EFS, Glacier)
• Designing data storage solutions for big data workloads
• Data ingestion and data transfer methods
• Data lifecycle management and versioning

Module 3: Data Processing with AWS

• Introduction to AWS compute services (EC2, EMR, Lambda)
• Batch processing with AWS Elastic MapReduce (EMR)
• Real-time processing with AWS Lambda and Kinesis
• Serverless computing for big data workloads

Module 4: Data Warehousing and Analytics on AWS

• Introduction to AWS data warehousing services (Redshift, Athena, Glue)
• Designing and optimizing data warehouse architectures
• Querying and analyzing big data with AWS services
• Integration with business intelligence (BI) tools

Module 5: Streaming and Real-Time Analytics

• Introduction to AWS streaming services (Kinesis, Kafka)
• Real-time data ingestion and processing pipelines
• Real-time analytics with AWS services (Kinesis Analytics, Amazon Managed Streaming
for Apache Kafka)
• Monitoring and scaling real-time analytics solutions

Module 6: Big Data Orchestration and Workflow

• Introduction to AWS orchestration services (Step Functions, Data Pipeline)
• Designing and managing big data workflows on AWS
• Automating data pipelines and ETL processes
• Error handling and fault tolerance in data workflows

Module 7: Data Governance and Security

• Understanding data governance challenges in big data
• Data security and compliance considerations on AWS
• Identity and access management (IAM) for big data workloads
• Encryption and data protection mechanisms on AWS

Module 8: Data Visualization and Reporting

• Overview of data visualization tools and services
• Integrating AWS big data solutions with visualization tools (QuickSight, Tableau)
• Designing interactive dashboards and reports
• Data storytelling and effective visualization practices

Module 9: Big Data Cost Optimization and Performance

• Cost optimization strategies for big data workloads on AWS
• Selecting the right AWS services based on cost and performance requirements
• Monitoring and optimizing resource utilization
• Scalability and performance tuning techniques

• Advanced analytics with AWS machine learning services (SageMaker, Comprehend,
Rekognition)
• Big data processing with AWS serverless technologies (Glue, Athena, Lambda)
• Exploring emerging trends in big data and AWS services
• Industry use cases and best practices

Big data on AWS (Amazon Web Services)

refers to the utilization of AWS services and infrastructure for storing, processing, and analyzing large volumes of data. AWS provides a comprehensive set of tools and services specifically designed to handle big data workloads efficiently and effectively. Some of the key services offered by AWS for big data include:

  1. Amazon S3 (Simple Storage Service): AWS S3 is a highly scalable object storage service that allows you to store and retrieve large amounts of unstructured data. It is often used as a data lake to store raw data before processing.
  2. Amazon EMR (Elastic MapReduce): EMR is a managed big data processing service that enables you to run distributed frameworks such as Apache Hadoop, Spark, and Presto on AWS. It simplifies the deployment and management of these frameworks and enables processing of large datasets in a scalable manner.
  3. Amazon Redshift: Redshift is a fully managed data warehousing service that provides high-performance analytics for large-scale data sets. It is optimized for online analytical processing (OLAP) workloads and allows you to query and analyze data using SQL.
  4. AWS Glue: Glue is a fully managed extract, transform, and load (ETL) service that helps you prepare and transform your data for analytics. It automatically generates ETL code and provides a serverless environment for data preparation tasks.
  5. AWS Athena: Athena is an interactive query service that allows you to analyze data directly from Amazon S3 using standard SQL queries. It eliminates the need to set up and manage infrastructure and enables ad-hoc querying of large datasets.
  6. Amazon Kinesis: Kinesis is a platform for real-time streaming data processing. It allows you to ingest, process, and analyze streaming data at any scale. Kinesis offers multiple services like Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics for different streaming use cases.
  7. AWS Lambda: Lambda is a serverless computing service that allows you to run code without provisioning or managing servers. It can be used for data processing and integration tasks, such as transforming and enriching data as it flows through various AWS services.
  8. AWS Data Pipeline: Data Pipeline is a web service for orchestrating and automating the movement and transformation of data between different AWS services and on-premises data sources. It simplifies the creation, scheduling, and management of data workflows.

These are just a few examples of the many AWS services available for handling big data. AWS provides a scalable and flexible platform for storing, processing, and analyzing large datasets, allowing organizations to leverage the power of big data for various purposes, including business intelligence, machine learning, and predictive analytics

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    Skills Covered

    • Fundamentals of AWS for Big Data

    • Data Storage Solutions on AWS

    • Data Ingestion and Streaming

    • Big Data Processing Frameworks

    • Data Visualization and BI Tools

    • Data Analytics and Machine Learning on AWS

    • Optimization and Cost Management

    • Hands-On Projects and Case Studies

    • Data Security and Access Management

    tool covered

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    Why Enroll for Big Data on AWS ?

    In-Demand Skills

    Mastering Big Data on AWS is crucial in today’s data-driven world. This course covers in-demand skills like data storage, processing with Amazon EMR, analytics using Redshift, and real-time insights with Kinesis. Enroll to gain practical expertise and propel your career in cloud-based data management and analytics.

    Career Opportunities

    The Big Data on AWS course opens doors to roles like Data Engineer, Big Data Analyst, and Cloud Architect. With expertise in AWS tools like EMR, Redshift, and Kinesis, you’ll be equipped to drive data solutions. Enroll to build a career in the fast-growing field of cloud-based big data analytics.

    Cloud Adoption

    Accelerate your Cloud Adoption journey with our comprehensive BIGDATA ON AWS Course Training! Gain hands-on expertise in managing and processing massive data sets with AWS tools, enhancing your skills in data analytics, secure storage, and real-time insights. Enroll today to master essential cloud-based Big Data skills, designed for modern data professionals.

    Scalability and Flexibility

    Achieve unparalleled Scalability and Flexibility with our BIGDATA ON AWS Course Training! Dive deep into AWS tools that empower you to handle vast data sets, adjust seamlessly to workload demands, and drive impactful insights. Enroll today to gain essential skills for scalable, adaptable data solutions in the cloud.

    Cost Management

    Master Cost Management with our BIGDATA ON AWS Course Training! Learn strategies to optimize spending, maximize AWS resource use, and manage Big Data workloads efficiently. Enroll now to gain essential skills for cost-effective data solutions on AWS, empowering your cloud journey. Join us today!

    Security and Compliance

    Enhance Security and Compliance with our BIGDATA ON AWS Course Training! Gain in-depth knowledge to secure vast data, ensure regulatory compliance, and safeguard cloud infrastructure. Enroll now to master essential AWS security skills for managing Big Data with confidence. Join us today for a secure future!

    Course benefits

    • In-Depth Understanding of AWS Big Data Services

    • Enhanced Data Management and Processing Skills

    • Cost Optimization Strategies

    • Hands-On Experience with Real-World Scenarios

    • Enhanced Data Security and Compliance Knowledge

    • Increased Career Opportunities and Certifications

    • Faster Insights and Business Decision-Making

    • Enhanced Knowledge in Machine Learning Integration

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    Why Big Data on AWS ?

    Scalability

    Unlock the power of Scalability with our BIGDATA ON AWS Course Training! Dive into AWS tools that let you manage and scale vast data resources efficiently, adapting seamlessly to changing workloads. Enroll now to build skills in handling dynamic data needs and supporting business growth. Join us today!

    Cost-Effectiveness

    The BIGDATA ON AWS Course Training highlights cost-effectiveness, teaching efficient ways to manage big data without overspending. Learn AWS tools that optimize data processing costs, helping you build scalable, budget-friendly solutions and advance your career in Big Data on AWS without financial strain.

    Hybrid Capabilities

    The BIGDATA ON AWS Course Training combines hybrid capabilities, blending on-premises and cloud data solutions seamlessly. This course equips you to handle big data across diverse environments, preparing you for a versatile career in Big Data on AWS and enhancing your data management skills.

    Flexibility

    The BIGDATA ON AWS Course Training provides flexible learning tailored to all skill levels, from beginners to pros. Gain hands-on experience with AWS tools and learn to build scalable, data-driven solutions. This training empowers you to advance your career in Big Data on AWS on your own schedule.

    Security and Compliance

    The BIGDATA ON AWS Course Training emphasizes security and compliance, ensuring you master the protection of sensitive data while adhering to industry regulations. With in-depth knowledge of AWS security features, this course equips you to handle big data responsibly, boosting your skills and career in Big Data on AWS.

    Innovation

    The BIGDATA ON AWS Course Training drives innovation, equipping you with cutting-edge skills to leverage AWS for big data solutions. Learn advanced tools and methods to enhance data insights, streamline processes, and fuel your career growth in Big Data on AWS by staying ahead in a fast-evolving field.

    Global Certification

    • AWS Certified Data Analytics - Specialty

    • AWS Certified Solutions Architect - Associate

    • AWS Certified Solutions Architect - Professional

    • Databricks Certified Data Engineer Associate

    • Google Professional Data Engineer (Google Cloud)

    • Cloudera Certified Professional (CCP): Data Engineer

    • Microsoft Certified: Azure Data Engineer Associate

    • Certified Apache Spark Developer (by Databricks or other providers)

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