AWS Big Data Blog
Category: AWS Lambda
From SQL to Microservices: Integrating AWS Lambda with Relational Databases
Bob Strahan is a Senior Consultant with AWS Professional Services AWS Lambda has emerged as excellent compute platform for modern microservices architecture, driving dramatic advancements in flexibility, resilience, scale and cost effectiveness. Many customers can take advantage of this transformational technology from within their existing relational database applications. In this post, we explore how to […]
Analyze a Time Series in Real Time with AWS Lambda, Amazon Kinesis and Amazon DynamoDB Streams
This is a guest post by Richard Freeman, Ph.D., a solutions architect and data scientist at JustGiving. JustGiving in their own words: “We are one of the world’s largest social platforms for giving that’s helped 26.1 million registered users in 196 countries raise $3.8 billion for over 27,000 good causes.” Introduction As more devices, sensors […]
Building a Near Real-Time Discovery Platform with AWS
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Assaf Mentzer is a Senior Consultant for AWS Professional Services In the spirit of the U.S presidential […]
Using AWS Lambda for Event-driven Data Processing Pipelines
February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that […]
Persist Streaming Data to Amazon S3 using Amazon Data Firehose and AWS Lambda
February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Streaming data analytics is becoming main-stream (pun intended) in large enterprises as the technology stacks have become more user-friendly to implement. For example, Spark-Streaming connected to an Amazon Kinesis stream is a […]
Automating Analytic Workflows on AWS
February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that […]
Building and Maintaining an Amazon S3 Metadata Index without Servers
Mike Deck is a Solutions Architect with AWS Amazon S3 is a simple key-based object store whose scalability and low cost make it ideal for storing large datasets. Its design enables S3 to provide excellent performance for storing and retrieving objects based on a known key. Finding objects based on other attributes, however, requires doing […]
Building Scalable and Responsive Big Data Interfaces with AWS Lambda
This is a guest post by Martin Holste, a co-founder of the Threat Analytics Platform at FireEye where he is a senior researcher specializing in prototypes. Overview At FireEye, Inc., we process billions of security events every day with our Threat Analytics Platform, running on AWS. In building our platform, one of the problems we […]
How Expedia Implemented Near Real-time Analysis of Interdependent Datasets
This is a guest post by Stephen Verstraete, a manager at Pariveda Solutions. Pariveda Solutions is an AWS Premier Consulting Partner. Common patterns exist for batch processing and real-time processing of Big Data. However, we haven’t seen patterns that allow us to process batches of dependent data in real-time. Expedia’s marketing group needed to analyze […]
A Zero-Administration Amazon Redshift Database Loader
Ian Meyers is a Solutions Architecture Senior Manager with AWS With this new AWS Lambda function, it’s never been easier to get file data into Amazon Redshift. You simply push files into a variety of locations on Amazon S3 and have them automatically loaded into your Amazon Redshift clusters. Using AWS Lambda with Amazon Redshift […]