Questions tagged with Amazon Kinesis Data Analytics
Content language: English
Select up to 5 tags to filter
Sort by most recent
Browse through the questions and answers listed below or filter and sort to narrow down your results.
I followed [this AWS blog post](https://aws.amazon.com/blogs/aws/introducing-amazon-kinesis-data-analytics-studio-quickly-interact-with-streaming-data-using-sql-python-or-scala/) to create KDA app,...
Hi All, I've started learning AWS Data Analytics. While going through study material I have found use of Java code/programming.
Can someone please guide me what level of Java expertise needed to get...
My application writes text data to a Kinesis Stream using pipe symbol as field separator. I've defined a table in Glue and specified CSV with the | separator. It's defined as a 3 column table and each...
We are trying to run a Query on AWS Kinesis, and use autoscaling.
We found that if user specified the Parallelism option in AWS Kinesis configuration, AWS Kinesis will apply the specified parallelism...
Any idea when aws-kinesis-agent will be updated to use log4j 2.15.0 ?
We've been using DDB streams as an event source for lambda functions serving our analytics pipeline.
Additionally, we configured the lambda to send the failed records metadata to a DLQ in case the...
Is it possible to create multiple Kinesis Data Analytics apps and use the same source which is a Kinesis firehose delivery stream? Are there any throttling concerns for the Firehose stream when...
Can a Lambda data transformation function attached to a Kinesis Firehose perform a join between the streaming data in that Kinesis Firehose and data in S3 through Athena, and pass the results to...
I am interested to build a real time application with data residing on their Kafka cluster. The Kafka is running on AWS, using K8S not using MSK. What are the step required to integrate Kinesis Data...
A data scientist is looking to host a Tensorflow model in SageMaker and process low volume streaming event data (~2-3 per second) to collect inferences about each event. Data scientist is looking at...
A customer is building a streaming solution that processes messages from their customers. Data in the stream is sent from multiple customers - each JSON in the stream has a customerId that tells you...