Overview of Amazon Web Services - AWS Whitepaper Flashcards

1
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What is Amazon Athena?

A

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.

Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning.

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2
Q

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What is AWS Glue?

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AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.

You simply point AWS Glue to your data stored on AWS, and AWS Glue
discovers your data and stores the associated metadata (such as table definition and schema) in the AWS Glue Data Catalog.

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3
Q

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What is Amazon CloudSearch?

A

Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application.

Amazon CloudSearch supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search.

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4
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What is Amazon EMR?

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Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto.

You can run workloads on Amazon EC2 instances, on Amazon Elastic Kubernetes Service (Amazon EKS) clusters, or on-premises using Amazon EMR on AWS Outposts.

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5
Q

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What is Amazon FinSpace?

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Amazon FinSpace is a data management and analytics service purpose-built for the financial services industry (FSI).

FinSpace reduces the time you spend finding and preparing petabytes of financial data to be ready for analysis from months to minutes.

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6
Q

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What is Amazon Kinesis?

A

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.

Amazon Kinesis enables you to process and analyze data as it arrives
and respond instantly instead of having to wait until all your data is collected before the processing can begin.

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7
Q

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4 kinds of Amazon Kinesis.

A
  1. Data Firehose
  2. Data Analytics
  3. Data Streams
  4. Video Streams
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8
Q

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What is Amazon Kinesis Data Firehose?

A

Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data stores and analytics tools.

It can capture, transform, and load streaming data into Amazon S3, Amazon
Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today.

You can start sending data to the stream from hundreds of thousands of data
sources to be loaded continuously to AWS.

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9
Q

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What is Amazon Kinesis Data Analytics?

A

Amazon Kinesis Data Analytics reduces the complexity of building, managing, and integrating streaming applications with other AWS services.

SQL users can easily query streaming data or build entire streaming applications using templates and an interactive SQL editor.

Java developers can quickly build sophisticated streaming applications using open source Java libraries and AWS integrations to transform and analyze data in real-time.

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10
Q

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What is Amazon Kinesis Data Streams?

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Amazon Kinesis Data Streams is a massively scalable and durable real-time data streaming service.
Kinesis Data Streamss can continuously capture gigabytes of data per second from hundreds of thousands of sources such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events.

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11
Q

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What is Amazon Kinesis Video Streams?

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Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, ML, playback, and other processing.

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12
Q

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What is Amazon OpenSearch Service?

A

Amazon OpenSearch Service (OpenSearch Service) makes it easy to deploy, secure, operate, and scale OpenSearch to search, analyze, and visualize data in real-time. With Amazon OpenSearch Service.

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13
Q

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What is Amazon OpenSearch Service?

A

Amazon OpenSearch Service (OpenSearch Service) makes it easy to deploy, secure, operate, and scale OpenSearch to search, analyze, and visualize data in real-time. With Amazon OpenSearch Service.

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14
Q

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What is Amazon Redshift?

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Amazon Redshift is the most widely used cloud data warehouse. It makes it fast, simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.

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15
Q

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What is Amazon QuickSight?

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Amazon QuickSight is a fast, cloud-powered business intelligence (BI) service that makes it easy for you to deliver insights to everyone in your organization. QuickSight lets you create and publish interactive dashboards that can be accessed from browsers or mobile devices.

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16
Q

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What is AWS Data Exchange?

A

AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud.

Qualified data providers include category-leading brands such as Reuters, Change Healthcare, Dun & Bradstreet, and Foursquare.

Once subscribed to a data product, you can use the AWS Data Exchange API to load data directly into Amazon S3 and then analyze it with a wide variety of AWS analytics and ML services.

17
Q

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What is AWS Data Pipeline?

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AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.

With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB and Amazon EMR.

18
Q

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What is AWS Glue?

A

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.

You simply point AWS Glue to your data stored on AWS, and AWS Glue
discovers your data and stores the associated metadata (such as table definition and schema) in the AWS Glue Data Catalog.

Once cataloged, your data is immediately searchable, queryable, and available for ETL.