Category: Amazon Kinesis

Amazon EventBridge is a serverless event bus that makes it easy to build event-driven applications at scale using events generated from your applications, integrated software as a service (SaaS) applications, and AWS services. Many AWS services generate EventBridge events. When an AWS service in your account emits an event, it goes to your account’s default […]

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 […]

Data is being produced, streamed, and consumed at an immense rate, and that rate is projected to grow exponentially in the future. In particular, JSON is the most widely used data format across streaming technologies and workloads. As applications, websites, and machines increasingly adopt data streaming technologies such as Apache Kafka and Amazon Kinesis Data […]

The volume of data being generated globally is growing at an ever-increasing pace. Data is generated to support an increasing number of use cases, such as IoT, advertisement, gaming, security monitoring, machine learning (ML), and more. The growth of these use cases drives both volume and velocity of streaming data and requires companies to capture, […]

Real-time insight is critical when it comes to building trading strategies. Any delay in data insight can cost lot of money to the traders. Often, you need to look at historical market trends to predict future trading pattern and make the right bid. More the historical data you analyze, better trading prediction you get. Back […]

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, we introduce a mechanism to stream Apache HBase edits into streaming services such as Apache Kafka or Amazon Kinesis Data Streams. In this approach, changes to data are […]

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 […]

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” […]

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 […]

Nearly all businesses today require some form of data analytics processing, from auditing user access to generating sales reports. For all your analytics needs, the Data Analytics Lens for AWS Well-Architected Framework provides prescriptive guidance to help you assess your workloads and identify best practices aligned to the AWS Well-Architected Pillars: Operational Excellence, Security, Reliability, […]