Extending Traditional Warehouses

 

Traditional data warehouses have not kept up with the demand for data and analytics. Analytic solutions come with complexities and limitations which challenge even the most tech-savvy organizations. JetSweep offers solutions to extend traditional data warehousing and reporting platforms by taking a holistic approach to get the most value out of your data assets.

Analytical Data Warehouse in the Cloud

Amazon RedShift

Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools. It allows you to run complex analytic queries against petabytes of structured data, using sophisticated query optimization, columnar storage on high-performance local disks, and massively parallel query execution. Most results come back in seconds. With Amazon Redshift, you can start small for just $0.25 per hour with no commitments and scale out to petabytes of data for $1,000 per terabyte per year, less than a tenth the cost of traditional solutions.

 
Play the video to learn more …
Play the video to learn more …

SnowFlake

Conventional data warehouses and big data solutions increasingly struggle to deliver on their fundamental purpose: to make it easy to amass all your data, enable rapid analytics, and quickly make data insights available to all of your users, consumers and systems that need them.  As a result, Snowflake built a new SQL data warehouse from the ground up for the cloud, one designed with a patented new architecture to handle today’s and tomorrow’s data and analytics. The result? A data warehouse that delivers performance, simplicity, concurrency and affordability not possible with other data analytics platforms.


Data Streaming, Machine Learning (ML) and Internet of Things (IoT)


Data Streaming with AWS Kinesis

Amazon Kinesis Firehose

Easily load streaming data into AWS

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Amazon Kinesis Streams

Build custom applications that process and analyze streaming data

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Amazon Kinesis Streams

Build custom applications that process and analyze streaming data

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AWS Machine Learning

Amazon Machine Learning

Amazon Machine Learning is based on the same proven, highly scalable, ML technology used for years by Amazon’s internal data scientist community. The service uses powerful algorithms to create ML models by finding patterns in your existing data. Then, Amazon Machine Learning uses these models to process new data and generate predictions for your application.

Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. Once your models are ready, Amazon Machine Learning makes it easy to obtain predictions for your application using simple APIs, without having to implement custom prediction generation code, or manage any infrastructure.

 
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AWS IoT

The Internet of Things (IoT) is a term coined by Kevin Ashton, a British technology pioneer working on radio-frequency identification (RFID) who conceived a system of ubiquitous sensors connecting the physical world to the Internet. Although things, Internet, and connectivity are the three core components of IoT, the value is in closing the gap between the physical and digital world in self-reinforcing and self-improving systems.

If you knew the state of every thing in the world, and could reason on top of the data: What problems would you solve?

To help you answer that question and extract the value from your connected devices, AWS has built IoT specific services, such as AWS Greengrass and AWS IoT. They help you collect and send data to the cloud, make it easy to load and analyze that information, and provide the ability to manage your devices, so you can focus on developing applications that fit your needs.

To get started with the Internet of Things on AWS, choose a service to learn more.

AWS Greengrass

AWS Greengrass is software that lets you run local compute, messaging & data caching for connected devices in a secure way. With AWS Greengrass, connected devices can run AWS Lambda functions, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet.

AWS IoT Platform

AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely.

AWS IoT Button

The AWS IoT Button is a programmable button based on the Amazon Dash Button hardware. This simple Wi-Fi device is easy to configure and designed for developers to get started with AWS IoT, AWS Lambda, Amazon DynamoDB, Amazon SNS, and many other Amazon Web Services without writing device-specific code.