AWS Big Data Blog

Category: Kinesis Data Firehose

Unify log aggregation and analytics across compute platforms

Our customers want to make sure their users have the best experience running their application on AWS. To make this happen, you need to monitor and fix software problems as quickly as possible. Doing this gets challenging with the growing volume of data needing to be quickly detected, analyzed, and stored. In this post, we […]

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Load CDC data by table and shape using Amazon Kinesis Data Firehose Dynamic Partitioning

Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and analytics services. Customers already use Amazon Kinesis Data Firehose to ingest raw data from various data sources using direct API call or by integrating Kinesis Data Firehose with Amazon Kinesis Data Streams including “change data capture” […]

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Continuous monitoring with Sumo Logic using Amazon Kinesis Data Firehose HTTP endpoints

Amazon Kinesis Data Firehose streams data to AWS destinations such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, and Amazon OpenSearch Service (successor to Amazon Elasticsearch Service). Additionally, Kinesis Data Firehose supports destinations to third-party partners. This ability to send data to third-party partners is a vital feature for customers who already use these […]

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Kinesis Data Firehose now supports dynamic partitioning to Amazon S3

Amazon Kinesis Data Firehose provides a convenient way to reliably load streaming data into data lakes, data stores, and analytics services. It can capture, transform, and deliver streaming data to Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon OpenSearch Service (successor to Amazon Elasticsearch Service), generic HTTP endpoints, and service providers like Datadog, New […]

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How MEDHOST’s cardiac risk prediction successfully leveraged AWS analytic services

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 patient care and operational excellence with its integrated clinical and financial EHR solutions. MEDHOST also offers a comprehensive Emergency Department Information System with […]

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Streaming Amazon DynamoDB data into a centralized data lake

For organizations moving towards a serverless microservice approach, Amazon DynamoDB has become a preferred backend database due to its fully managed, multi-Region, multi-active durability with built-in security controls, backup and restore, and in-memory caching for internet-scale application. , which you can then use to derive near-real-time business insights. The data lake provides capabilities to business teams to plug in […]

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Build seamless data streaming pipelines with Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose for Amazon DynamoDB tables

The global wearables market grew 35.1% year over year during the third quarter of 2020, with total shipments reaching 125 million units according to new data from the International Data Corporation (IDC) Worldwide Quarterly Wearable Device Tracker. The surge was driven by seasonality, new product launches, and the health concerns during the global pandemic. Given […]

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Unified serverless streaming ETL architecture with Amazon Kinesis Data Analytics

Businesses across the world are seeing a massive influx of data at an enormous pace through multiple channels. With the advent of cloud computing, many companies are realizing the benefits of getting their data into the cloud to gain meaningful insights and save costs on data processing and storage. As businesses embark on their journey […]

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Stream, transform, and analyze XML data in real time with Amazon Kinesis, AWS Lambda, and Amazon Redshift

When we look at enterprise data warehousing systems, we receive data in various formats, such as XML, JSON, or CSV. Most third-party system integrations happen through SOAP or REST web services, where the input and output data format is either XML or JSON. When applications deal with CSV or JSON, it becomes fairly simple to […]

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Enhancing customer safety by leveraging the scalable, secure, and cost-optimized Toyota Connected Data Lake

Toyota Motor Corporation (TMC), a global automotive manufacturer, has made “connected cars” a core priority as part of its broader transformation from an auto company to a mobility company. In recent years, TMC and its affiliate technology and big data company, Toyota Connected, have developed an array of new technologies to provide connected services that […]

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