AWS Data Engineer Training | AWS Data Engineering Online Training

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AWS Data Integration Tools
91-9989971070
www.visualpath.in
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Amazon Web Services (AWS) provides a variety of
data integration tools and services to help
organizations manage, process, and analyze their
data efficiently. Here are some key AWS data
integration tools AWS Glue Purpose Fully
managed extract, transform, and load (ETL)
service for data preparation. Features Automatica
lly discovers, catalogs, and transforms metadata
from various data sources. Supports both
structured and semi-structured data. Integrates
with various data stores, including Amazon S3,
Amazon Redshift, and more. Can be used to build
ETL jobs in Python or Scala.
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AWS Data Pipeline Purpose Orchestration service
for automating the movement and transformation of
data between different AWS services and
on-premises data sources. Features Provides
pre-built connectors for common data sources and
destinations. Allows scheduling and monitoring of
data workflows. Supports on-premises and
cloud-based data integration scenarios.
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Amazon Kinesis Purpose Suite of services for
real-time data streaming and analytics. Services
Kinesis Data Streams Ingest and process
real-time data streams. Kinesis Data Firehose
Load streaming data into data stores like S3,
Redshift, or Elasticsearch. Kinesis Data
Analytics Analyze streaming data with SQL
queries.
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AWS Step Functions Purpose Serverless
orchestration service for coordinating
distributed applications. Features Enables you
to design and run workflows with multiple AWS
services. Integrates with Lambda, Glue, and other
services for building data processing
workflows. Supports error handling and retries.
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AWS Database Migration Service (DMS) Purpose
Migrate databases to AWS with minimal
downtime. Features Supports heterogeneous
migrations (e.g., Oracle to Amazon
Aurora). Continuous data replication for
near-real-time updates. Can be used for one-time
migrations or ongoing replication.
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Amazon AppFlow Purpose Fully managed
integration service for securely transferring
data between AWS services and third-party SaaS
applications. Features Supports bidirectional
data transfer. Integrates with various SaaS
applications like Salesforce, ServiceNow, and
others. Provides data mapping and transformation
capabilities.
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AWS Glue DataBrew Purpose Visual data
preparation tool for cleaning, enriching, and
transforming data. Features No-code data
transformation using a visual interface. Supports
various data sources, including S3, Redshift, and
RDS. Integrates with AWS Glue for ETL processing.
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Amazon Managed Workflows for Apache Airflow
(MWAA) Purpose Managed service for running
Apache Airflow to orchestrate complex data
workflows. Features Supports scheduling and
monitoring of workflows. Integrates with various
AWS services for data processing and
analytics. These AWS data integration tools
provide a comprehensive set of options for
handling different aspects of data movement,
transformation, and analytics in the cloud. The
choice of tool depends on specific use cases,
requirements, and preferences.
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CONTACT
For More Information About Data Engineer
Training in Hyderabad Address- Flat no 205,
2nd Floor, Nilgiri Block, AdityaEnclave
Ameerpet ,Hyderabad- 16 Ph No
91-9989971070 Visit www.visualpath.in E-Mail
online_at_visualpath.in
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