AWS Data Engineering Online Training - Visualpath PowerPoint PPT Presentation

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Title: AWS Data Engineering Online Training - Visualpath


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Data Engineering leveraging AWS Analytics features
91-9989971070
www.visualpath.in
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  • Leveraging AWS analytics features is essential
    for effective data engineering in the cloud. AWS
    offers a wide range of services that enable data
    engineers to collect, store, process, and analyse
    data efficiently. Here's how you can use AWS
    analytics features for data engineering
  • Data Ingestion
  • Amazon Kinesis Use Kinesis to collect and
    process real-time streaming data. Kinesis Data
    Streams, Data Firehouse, and Data Analytics
    provide various options for data ingestion and
    analysis.

www.visualpath.in
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  • Data Storage
  • Amazon S3 Store data in Amazon S3, which is a
    scalable object storage service. It serves as a
    cost-effective and durable data lake for various
    data types, including structured,
    semi-structured, and unstructured data.
  • Data Transformation
  • AWS Glue AWS Glue is a managed ETL service that
    automates the process of extracting,
    transforming, and loading data. You can use it to
    prepare data for analytics and machine learning.

www.visualpath.in
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  • Big Data Processing
  • Amazon EMR EMR is a big data platform that
    allows you to run distributed data processing
    frameworks like Apache Hardtop and Apache Spark
    to analyse large datasets.
  • Data Warehousing
  • Amazon Redshift Amazon Redshift is a fully
    managed data warehousing service that enables you
    to run high-performance analytics on structured
    data.
  • Server less Data Analysis
  • Amazon Athena Athena allows you to query data
    stored in Amazon S3 using standard SQL without
    the need to set up servers. It's particularly
    useful for ad-hoc querying and analysis.

www.visualpath.in
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  • Managed Databases
  • Amazon RDS and Amazon Aurora These services
    provide managed relational databases, which can
    be used for storing structured data.
  • Real-Time Analytics
  • Amazon Kinesis Data Analytics This service
    allows you to analyse streaming data in
    real-time. It's ideal for applications that
    require immediate insights from data streams.
  • Data Catalog and Metadata Management
  • AWS Glue Data Catalog The data catalog stores
    metadata information about your data assets,
    making it easier to discover and manage data.

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  • Data Visualization
  • Amazon Quick Sight Use Quick Sight to build
    interactive dashboards and reports for data
    visualization and sharing insights.
  • Machine Learning Integration
  • Amazon Sage Maker Sage Maker simplifies the
    process of building, training, and deploying
    machine learning models using your data.
  • Data Governance and Security
  • Leverage AWS Identity and Access Management (IAM)
    for access control, AWS Key Management Service
    (KMS) for data encryption, and AWS Cloud Trail
    for auditing and compliance.

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  • Data Pipeline Orchestration
  • AWS Step Functions You can use Step Functions to
    coordinate multiple AWS services into server less
    workflows for data processing and analytics.
  • Cost Optimization AWS offers tools like Cost
    Explorer and AWS Budgets to monitor and manage
    your data analytics costs
  • Scaling and Auto-Scaling Use AWS Auto Scaling to
    automatically adjust the capacity of resources in
    response to changing demand for data processing.
  • Managed Serverless Compute Serverless services
    like AWS Lambda can be used for data processing
    tasks, triggered by events or scheduled jobs.
  • Streaming Data Analytics For complex stream
    analytics, you can use Amazon Kinesis Data
    Analytics and AWS Lambda to process and transform
    streaming data in real-time.

www.visualpath.in
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CONTACT
For More Information About AWS Data Engineering
Training Address- Flat no 205, 2nd Floor,
Nilgiri Block,
Aditya Enclave,
Ameerpet, Hyderabad-16 Ph No
91-9989971070 Visit www.visualpath.in E-Mail
online_at_visualpath.in
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THANK YOU
Visit www.visualpath.in
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