Kinesis Data Analytics

Question 1

Amazon Kinesis Data Analytics, WHY ?

Answer 1

Amazon Kinesis Data Analytics is the easiest way to process and analyze real-time, streaming data.

Can use standard SQL queries to process Kinesis data streams.

Provides real-time analysis.

Question 2

Use cases:

Answer 2

• Generate time-series analytics.
• Feed real-time dashboards.
• Create real-time alerts and notifications

Question 3

Ingestion vs Output Sources ..

Answer 3

Can ingest data from Kinesis Streams and Kinesis Firehose.

Output to S3, RedShift, Elasticsearch and Kinesis Data Streams.

Question 4

Kinesis Data Analytics application consists of three components:

Answer 4

Input – the streaming source for your application.

Application code – a series of SQL statements that process input and produce output.

Output – one or more in-application streams to hold intermediate results.

Question 5

Kinesis Data Analytics supports two types of inputs :

Answer 5

: streaming data sources and reference data sources:

A streaming data source is continuously generated data that is read into your application for processing.

A reference data source is static data that your application uses to enrich data coming in from streaming sources.