Category: Analytics

Many of the things that I blog about lately seem to involve interesting combinations of two or more AWS services and today’s post is no exception. Before I dig in, I’d like to briefly introduce all of the services that I plan to name-drop later in this post. Some of this will be review material, […]

My colleague Jon Fritz wrote the guest post below to introduce a powerful new feature for . We updated it on May 16, 2017 in order to describe some new console features and to account for the availability of Spark 2.0. — Jeff; I’m happy to announce that Amazon EMR now supports Apache Spark. Amazon […]

is a managed service designed to handle real-time streaming of big data. It can accept any amount of data, from any number of sources, scaling up and down as needed (see my introductory post for more information on Kinesis). Developers can use the Kinesis Client Library (KCL) to simplify the implementation of apps that consume […]

makes it easy for you to save user data such as app preferences in the AWS Cloud without writing any backend logic or managing any infrastructure. You can focus on creating a great app instead of worrying about creating server-side code to handle identity management, network state, storage, and sync. Today we are giving you […]

is at home in situations where data arrives in a continuous stream. It is real-time and elastic and you can use it to reliably deliver any amount of data to your mission-critical applications. Today we are making an important change to Kinesis. You can now retrieve records (data) immediately after a successful PutRecord or PutRecords […]

We’ve increased the geographic footprint and international relevance of several AWS services this past month. Here’s a summary: and are now available in the region. is now available in the region. , , and RDS integration with are now available in . We added a second location in Korea for and . is now available […]

My colleague Adi Krishnan wrote the following guest post to tell you about the newest addition to the Amazon Kinesis API. — Jeff; is a fully managed service for real-time processing of streaming data at massive scale. Customers love the fact that they can put any amount of data in to a Kinesis stream and […]

helps you to reliably process and move data between compute and storage services running either on on on-premises. The pipelines that you create with Data Pipeline’s graphical editor are scalable and fault tolerant, and can be scheduled to run at specific intervals. To learn more, read my launch post, The New AWS Data Pipeline. New […]

We want to make it even easier for you to build applications that run in the . We want you to be able to focus on your code, and to work within a cloud-centric environment where scalability, reliability, and runtime efficiency are all high enough to be simply taken for granted! Today we are launching […]

My colleague Rahul Patil sent me a nice guest post. In the post Rahul shows you how to use the new Kinesis Client Library (KCL) for Python developers. — Jeff; The Amazon Kinesis team is excited to release the Kinesis Client Library (KCL) for Python developers! Developers can use the KCL to build distributed applications […]