AWS Big Data Blog

How BookMyShow saved 80% in costs by migrating to an AWS modern data architecture

This is a guest post co-authored by Mahesh Vandi Chalil, Chief Technology Officer of BookMyShow. BookMyShow (BMS), a leading entertainment company in India, provides an online ticketing platform for movies, plays, concerts, and sporting events. Selling up to 200 million tickets on an annual run rate basis (pre-COVID) to customers in India, Sri Lanka, Singapore, […]

Accelerate orchestration of an ELT process using AWS Step Functions and Amazon Redshift Data API

Extract, Load, and Transform (ELT) is a modern design strategy where raw data is first loaded into the data warehouse and then transformed with familiar Structured Query Language (SQL) semantics leveraging the power of massively parallel processing (MPP) architecture of the data warehouse. When you use an ELT pattern, you can also use your existing […]

Add your own libraries and application dependencies to Spark and Hive on Amazon EMR Serverless with custom images

Amazon EMR Serverless allows you to run open-source big data frameworks such as Apache Spark and Apache Hive without managing clusters and servers. Many customers who run Spark and Hive applications want to add their own libraries and dependencies to the application runtime. For example, you may want to add popular open-source extensions to Spark, […]

Run a popular benchmark on Amazon Redshift Serverless easily with AWS Data Exchange

Amazon Redshift is a fast, easy, secure, and economical cloud data warehousing service designed for analytics. AWS announced Amazon Redshift Serverless general availability in July 2022, providing an easier experience to operate Amazon Redshift. Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Amazon Redshift […]

Code conversion from Greenplum to Amazon Redshift: Handling arrays, dates, and regular expressions

Amazon Redshift is a fully managed service for data lakes, data analytics, and data warehouses for startups, medium enterprises, and large enterprises. Amazon Redshift is used by tens of thousands of businesses around the globe for modernizing their data analytics platform. Greenplum is an open-source, massively parallel database used for analytics, mostly for on-premises infrastructure. […]

Build a search application with Amazon OpenSearch Serverless

In this post, we demonstrate how to build a simple web-based search application using the recently announced Amazon OpenSearch Serverless, a serverless option for Amazon OpenSearch Service that makes it easy to run petabyte-scale search and analytics workloads without having to think about clusters. The benefit of using OpenSearch Serverless as a backend for your […]

Green Flag uses Amazon QuickSight to democratize data and enable self-serve insights to all employees

This is a guest post by Jeremy Bristow, Head of Product at Green Flag. In the US, there’s a saying: “Sooner or later, you’ll break down and call Triple A.” In the UK, that same saying might be “Sooner or later, you’ll break down and call Green Flag.” Green Flag has been assisting stranded motorists […]

Accelerate your data exploration and experimentation with the AWS Analytics Reference Architecture library

Organizations use their data to solve complex problems by starting small, running iterative experiments, and refining the solution. Although the power of experiments can’t be ignored, organizations have to be cautious about the cost-effectiveness of such experiments. If time is spent creating the underlying infrastructure for enabling experiments, it further adds to the cost. Developers […]

Near-real-time fraud detection using Amazon Redshift Streaming Ingestion with Amazon Kinesis Data Streams and Amazon Redshift ML

The importance of data warehouses and analytics performed on data warehouse platforms has been increasing steadily over the years, with many businesses coming to rely on these systems as mission-critical for both short-term operational decision-making and long-term strategic planning. Traditionally, data warehouses are refreshed in batch cycles, for example, monthly, weekly, or daily, so that […]

How Novo Nordisk built a modern data architecture on AWS

Novo Nordisk is a leading global pharmaceutical company, responsible for producing life-saving medicines that reach more than 34 million patients each day. They do this following their triple bottom line—that they must strive to be environmentally sustainable, socially sustainable, and financially sustainable. The combination of using AWS and data supports all these targets. Data is […]