AWS Big Data Blog

This is a guest post from an Amazon QuickSight customer, Edmunds GovTech Over the past 30 years, Edmunds GovTech has grown to provide enterprise resource planning (ERP) solutions to thousands of East Coast municipalities. We also serve cities and towns in 25 other states. In this blog, I’ll talk about how we used Amazon QuickSight […]

telecomtelecomPart 1 of this series explains the importance of building and implementing a customer experience (CX) management and data monetization strategy for telecom service providers (TSPs), and the major challenges driving these initiatives. It also includes an AWS CloudFormation template to set up a demonstration of the solution using AWS services. It covers transforming and enriching […]

The landscape of the telecommunications industry is changing rapidly. For telecom service providers (TSPs), revenue from core voice and data services continues to shrink due to regulatory pressure and emerging OTT players that offer an attractive alternative. Despite increasing demand from customers for bandwidth, speed, and efficiency, TSPs are finding that ROI from implementing new […]

In part 1 of this series, we demonstrated building an end-to-end data lifecycle management system integrated with a data lake house implemented on Amazon Simple Storage Service (Amazon S3) with Amazon Redshift and Amazon Redshift Spectrum. In this post, we address the ongoing operation of the solution we built. Data ageing process after a month […]

This post is co-written with Shawn Koupal, an Enterprise Analytics IT Architect at Best Western International, Inc. A common ask from Amazon QuickSight administrators is to understand the lineage of a given dashboard (what analysis is it built from, what datasets are used in the analysis, and what data sources do those datasets use). QuickSight […]

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue already integrates with various popular data stores such as the Amazon Redshift, RDS, MongoDB, and Amazon S3. Organizations continue to evolve and use a variety of data stores that best fit […]

In the connected world, data is getting generated from many different sources in a wide variety of data formats. Enterprises are looking for tools to ingest from these evolving data sources as well as programmatically customize the ingested data to meet their data analytics needs. You also need solutions that help you quickly meet your business […]

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. AWS Glue has native connectors to connect to supported data sources either on AWS or elsewhere using JDBC drivers. Additionally, AWS Glue now enables you to bring your own JDBC drivers […]

Disparate data systems have become a norm in many companies. The reasons for this vary: different teams in the organization select data system best suited for its primary function, the responsibility for choosing these data systems may have been decentralized across different departments, a merged company may still use separate data systems from the formerly […]

In today’s connected world, it’s common to have data sitting in various data sources in a variety of formats. Even though data is a critical component of decision making, for many organizations this data is spread across multiple public clouds. Organizations are looking for tools that make it easy to ingest data from these myriad data […]