Kinesis - AWS Feed

Machine Learning

Build accurate ML training datasets using point-in-time queries with Amazon SageMaker Feature Store and Apache Spark

This post is co-written with Raphey Holmes, Software Engineering Manager, and Jason Mackay, Principal Software Development Engineer, at GoDaddy. GoDaddy is the world’s largest services platform for entrepreneurs around the globe, empowering their worldwide community of over 20 million customers—and entrepreneurs everywhere—by giving them all the help and tools they Read more…

By Alexa, 1 month ago

APN

Capgemini’s Trusted Logistics and Drug Counterfeit Solution for the Pharma Industry

By Pradyumna Pendse; Sandesh Chauhan; Abhishek Ranjan – Capgemini By Hemant Sharma, Lana Kalashnyk; Nikhil Chetwani – AWS The traditional supply chain has a lot of inefficiencies and bottlenecks that can lead to losses and pilferage. There are losses because of logistical inefficiencies, or because perishable goods or drugs may not Read more…

By Alexa, 1 month ago

Architecture

Architecting Persona-centric Data Platform with On-premises Data Sources

Many organizations are moving their data from silos and aggregating it in one location. Collecting this data in a data lake enables you to perform analytics and machine learning on that data. You can store your data in purpose-built data stores, like a data warehouse, to get quick results for Read more…

By Alexa, 1 month ago

Compute

Building leaderboard functionality with serverless data analytics

This series is about building serverless solutions in streaming data workloads. The application example used in this series is Alleycat, which allows bike racers to compete with each other virtually on home exercise bikes. Part 1 explains the application’s functionality, how to deploy to your AWS account, and provides an Read more…

By Alexa, 1 month ago

Big Data

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 Read more…

By Alexa, 1 month ago

Certification

Things to Know Before Using AWS Elasticsearch

Amazon Elasticsearch Service is the powerhouse to help you deploy, operate & scale respective Elasticsearch clusters within the AWS cloud. Amazon Elasticsearch offers you direct access to the Elasticsearch APIs and automatically replaces the failed nodes. If you intend to use AWS Elasticsearch for your operations, then it is better for Read more…

By Alexa, 1 month ago

APN

Say Hello to 81 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in May

The AWS Partner Network (APN) is the global community of Partners who leverage Amazon Web Services (AWS) to build solutions and services for customers. We enable AWS Partners to build, market, and sell their AWS offerings, and we help customers identify AWS Partners uniquely positioned to help businesses accelerate their Read more…

By Alexa, 1 month ago

APN

Building Serverless Event-Driven Applications with MongoDB Realm and Amazon EventBridge

By Igor Alekseev, Partner Solutions Architect, Data & Analytics – AWS By Andrew Morgan, Staff Engineer – MongoDB Businesses are faced with ever-increasing complexity of the systems they need to run in order to stay agile and competitive. The complexity can develop over time as new systems are integrated but Read more…

By Alexa, 1 month ago

Big Data

Top 10 Flink SQL queries to try in Amazon Kinesis Data Analytics Studio

Amazon Kinesis Data Analytics Studio makes it easy to analyze streaming data in real time and build stream processing applications using standard SQL, Python, and Scala. With a few clicks on the AWS Management Console, you can launch a serverless notebook to query data streams and get results in seconds. Read more…

By Alexa, 1 month ago

Big Data

Preprocess logs for anomaly detection in Amazon ES

Amazon Elasticsearch Service (Amazon ES) supports real-time anomaly detection, which uses machine learning (ML) to proactively detect anomalies in real-time streaming data. When used to analyze application logs, it can detect anomalies such as unusually high error rates or sudden changes in the number of requests. For example, a sudden Read more…

By Alexa, 1 month ago