AWS Glue Streaming now supports Kinesis Data Streams enhanced fan-out feature

Table of Contents:

• Introduction

• Understanding AWS Glue Streaming ETL

• A Deep Dive Into Amazon Kinesis Data Streams

• Enhanced Fan-out Feature in Kinesis Data Streams

• Benefits of AWS Glue Streaming Support for KDS Enhanced Fan-Out

• How To Configure Enhanced Fan-Out With AWS Glue Streaming

• Drawbacks and Limitations

• Conclusion

• References

Introduction¶

In the era of big data and real-time analytics, processing and extracting value from enormous quantities of data can make the difference between keeping pace with your competition or falling behind. AWS Glue Streaming now supports Amazon Kinesis Data Streams enhanced fan-out feature, allowing for the real-time stream processing of large data sets with low latency. This represents a significant improvement with regards to stream processing capabilities.

Understanding AWS Glue Streaming ETL¶

AWS Glue is a fully managed Extract, Transform, Load (ETL) service that makes it simple to prepare and load data for analytics. As an ETL tool, AWS Glue can integrate with an extensive array of AWS services, enabling developers to create ETL jobs with ease.

With AWS Glue Streaming ETL, you can set up continuous ETL workflows that clean, enrich, analyze, and load streaming data to and from data lakes, data warehouses, and databases within a few clicks. AWS Glue Streaming ETL automatically scales to match the volume and throughput of your data, providing a serverless streaming ETL service that handles the underlying resources for you.

A Deep Dive into Amazon Kinesis Data Streams¶

Amazon Kinesis Data Streams (KDS) is an AWS service that allows you to ingest, process, and analyze real-time, streaming data. This way, you can make timely insights and react decisively to new information. Whether you’re tracking application logs, website clickstreams, financial transactions, or social media feeds, KDS handles the streaming data necessary for your big data applications.

Enhanced Fan-out Feature in Kinesis Data Streams¶

In the realm of streaming data, fan-out is a critical concept. It’s the ability to distribute the same stream of data across multiple real-time applications simultaneously. It’s essentially making multiple copies of the same stream, allowing for high-throughput read access with each copy.

The Kinesis Data Streams enhanced fan-out feature is a dedicated throughput mechanism that provides streams consumers with a consistent intake rate of up to 2 MiB/second/shard. By giving each stream consumer dedicated throughput, KDS allows developers to scale the number of stream consumers based on their needs without worrying about an increase in latency.

Benefits of AWS Glue Streaming Support for KDS Enhanced Fan-Out¶

The support of the enhanced fan-out feature by AWS Glue Streaming bears several advantages for developers:

1. Real-time analytics at scale: Using the enhanced fan-out feature, you can process streaming data in real-time across multiple applications with low latency. AWS Glue Streaming scales to match your data volume and throughput automatically.

2. Cost-effective: With the integration of the enhanced fan-out feature on AWS Glue, businesses can execute real-time analytics at scale without investing in additional infrastructure.

3. Improved Data Processing: The integration boosts the efficiency of data processing tasks by dividing the streams per shard, enhancing the throughput, and reducing read delays.

How To Configure Enhanced Fan-Out With AWS Glue Streaming¶

Setting up AWS Glue Streaming with Kinesis Data Streams enhanced fan-out involves a few steps. Here is a basic setup guide:

Pre-requisites¶

• An AWS Account
• AWS Glue service configured
• A running Amazon Kinesis Data Stream

Instructions¶

The instructions are pretty straightforward if you already have a Kinesis Data Stream in place.

1. Head over to your AWS Management Console.
2. Navigate to the AWS Glue service.
3. Click on ‘Jobs’ in the sidebar on the left.
4. Press the ‘Add Job’ button.
5. Fill in the necessary job properties.
6. In the section “This job runs”, select “A new streaming ETL”.
7. In the “Data source” step, choose your Kinesis Data Stream as your source.
8. Select “Enable Enhanced Fan Out”.

Drawbacks and Limitations¶

Though the integration of AWS Glue Streaming with Kinesis Data Streams enhanced fan-out offers multiple benefits, some caveats are worth noting:

1. Billing: AWS billing is primarily usage-based. For example, in Kinesis Data Streams, you’re billed for each shard hour and the amount of data put into the stream—applies to the enhanced fan-out feature.

2. Limits: Each AWS account has a default limit on the number of shards per region. It’s pivotal to check these details in advance to avert operational difficulties.

3. Stream Management: Though AWS provides managed services, it’s essential to manage shards in your stream and their performance, including efficient use of GetShardIterator.

Conclusion¶

In a data-driven world where real-time insights are crucial to decision-making, tools like AWS Glue and Amazon Kinesis Data Streams are invaluable. They can readily process enormous volumes of data at a scale, which wouldn’t be possible otherwise. With AWS Glue Streaming now supporting the enhanced fan-out feature of Kinesis Data Streams, the benefits and capabilities are more compelling than ever.

Stay tuned for more updates on AWS services as they continue to optimize their offerings for better analytics and a more scalable cloud ecosystem.

References¶

1. AWS Glue Developer Guide

2. Amazon Kinesis Data Streams Developer Guide

3. Managing Amazon Kinesis Data Streams Enhanced Fan-Out Using AWS Glue Streaming ETL