Exploring AWS Machine Learning Capabilities - Data Analytics
Exploring AWS Machine Learning Capabilities
AWS Data Engineering empowers organizations to
build robust and scalable data solutions using Amazon Web Services. This field
encompasses a wide range of services, from storing and managing data with
services like Amazon S3 and Amazon Dynamo DB to processing and analyzing data
using tools such as Amazon EMR and Amazon Athena. Amazon Web Services (AWS) provides a
comprehensive and diverse data ecosystem, offering a wide array of services to
manage, store, process, and analyze data. Here is a detailed overview of the AWS data
ecosystem
AWS Data Engineering Online Training
Data Storage:
Amazon
Simple Storage Service (S3):
Object storage
service for scalable and secure storage of any type of data.
Suitable for backup,
data archiving, and serving static assets for web applications.
Amazon
Glacier:
Low-cost storage
service for data archiving and long-term backup.
Amazon
Elastic Block Store (EBS):
Block-level storage
volumes for EC2 instances, commonly used for databases.
Amazon
Elastic File System (EFS):
Fully managed file storage
for EC2 instances, suitable for scalable file-based workloads.
- AWS Data
Engineering Training
Database Services:
Amazon
RDS (Relational Database Service):
Managed relational
database service supporting MySQL, PostgreSQL, SQL Server, Maria DB, and
Oracle.
Amazon
Dynamo DB:
Fully managed NoSQL
database service, offering seamless scalability and low-latency performance.
Amazon
Redshift:
Fully managed data
warehouse service for running complex queries on large datasets.
Amazon
Elastic ache:
In-memory caching
service supporting Redid and Me cached for improving application performance.
Data Analytics and
Processing:
Amazon
EMR (Elastic Map Reduce):
Fully managed big
data platform with popular frameworks like Apache Spark and Hardtop. - Data
Engineering Training in Hyderabad
Amazon
Athena:
Server-less query
service allowing SQL queries on data stored in Amazon S3.
Amazon
Kinesis:
A suite of services
for real-time data streaming, including Kinesis Data Streams, Kinesis Data
Firehouse, and Kinesis Data Analytics.
AWS
Glue:
Fully managed
extract, transform, and load (ETL) service for preparing and loading data for
analytics.
Machine Learning and
AI:
Amazon
Sage Maker:
Fully managed service
for building, training, and deploying machine learning models.
Amazon
Comprehend:
Natural Language
Processing (NLP) service for extracting insights and relationships from text.
Amazon
Recognition:
Image and video
analysis service for object and facial recognition.
Data
Integration and Transfer:
AWS
Data Sync:
Data transfer service
for moving large amounts of data between on-premises environments and AWS. - AWS Data
Engineering Training in Hyderabad
AWS
DMS (Database Migration Service):
Fully managed service
for migrating databases to AWS with minimal downtime.
AWS
Glue Data Brew:
Visual data
preparation tool for cleaning and transforming data for analytics.
Security and
Governance:
AWS
Key Management Service (KMS):
Managed service for
creating and controlling encryption keys used to encrypt data.
AWS
Lake Formation:
Service for setting
up, securing, and managing a data lake.
Amazon
Macie:
AI-powered service
for discovering, classifying, and protecting sensitive data.
Developer Tools:
AWS
SDKs (Software Development Kits):
Tools for developers
to interact with AWS services using their preferred programming language.
AWS
Cloud Formation:
Infrastructure as
Code (IaC) service for defining and deploying AWS infrastructure.
AWS
Step Functions:
Serverless function
orchestrator for building workflows that integrate AWS services.
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Engineering Course in Ameerpet
This comprehensive
data ecosystem provided by AWS allows organizations to build, scale, and
optimize their data infrastructure to meet a wide range of business needs.
Visualpath is the Leading and Best Institute
for AWS Data Engineering Online Training, in Hyderabad. We AWS Data Engineering Training provide you will get the best course at an
affordable cost.
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