AWS Big Data Blog
Category: Kinesis Data Streams
How Cynamics built a high-scale, near-real-time, streaming AI inference system using AWS
This post is co-authored by Dr. Yehezkel Aviv, Co-Founder and CTO of Cynamics and Sapir Kraus, Head of Engineering at Cynamics. Cynamics provides a new paradigm of cybersecurity — predicting attacks long before they hit by collecting small network samples (less than 1%), inferring from them how the full network (100%) behaves, and predicting threats […]
Stream Apache HBase edits for real-time analytics
August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Apache HBase is a non-relational database. To use the data, applications need to query the database to pull the data and changes from tables. In this post, […]
Integrate Etleap with Amazon Redshift Streaming Ingestion (preview) to make data available in seconds
Amazon Redshift is a fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using SQL and your extract, transform, and load (ETL), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads. Etleap […]
How MEDHOST’s cardiac risk prediction successfully leveraged AWS analytic services
February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. MEDHOST has been providing products and services to healthcare facilities of all types and sizes for over 35 years. Today, more than 1,000 healthcare facilities are partnering with MEDHOST and enhancing their […]
Secure multi-tenant data ingestion pipelines with Amazon Kinesis Data Streams and Kinesis Data Analytics for Apache Flink
August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. When designing multi-tenant streaming ingestion pipelines, there are myriad ways to design and build your streaming solution, each with its own set of trade-offs. The first decision […]
Streaming Amazon DynamoDB data into a centralized data lake
February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. For organizations moving towards […]
Use Grok patterns in AWS Glue to process streaming data into Amazon Elasticsearch Service
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Recently, we launched AWS Glue custom connectors for Amazon OpenSearch Service, which provides the capability to ingest data into Amazon OpenSearch Service with just a few clicks. You can now use Amazon OpenSearch Service as a data store for your […]
Build seamless data streaming pipelines with Amazon Kinesis Data Streams and Amazon Data Firehose for Amazon DynamoDB tables
February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. The global wearables market […]
Build a data lake using Amazon Kinesis Data Streams for Amazon DynamoDB and Apache Hudi
August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. July 2023: This post was reviewed for accuracy. Amazon DynamoDB helps you capture high-velocity data such as clickstream data to form customized user profiles and online order […]
Retaining data streams up to one year with Amazon Kinesis Data Streams
August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Streaming data is used extensively for use cases like sharing data between applications, streaming ETL (extract, transform, and load), real-time analytics, processing data from internet of things […]