AWS Big Data Blog

Category: Analytics

Visma InSchool uses Amazon QuickSight to meet varied business intelligence needs with employees and customers

This is a guest post by Vasily Ulianko and Per Brandser from Visma InSchool. Located in Europe and Latin America, with headquarters in Norway, Visma has a bold vision to shape the future of society through technology. To do that, we provide business-critical software solutions for over 1 million customers across the Nordics, Benelux, Central […]

Leverages uses Amazon QuickSight to drive valuable and effective customer engagement with embedded market trends and insights

This is a guest post from Tomotaka Inoue, Data Analyst at Leverages. Founded in 2005, Leverages offers job staffing and web tools—Levtech and Levwell—for the IT and healthcare industries, serving both companies seeking talent and job seekers who are in the market for their next role. Inspired by a data point showing a proportional correlation […]

Stream VPC flow logs to Amazon OpenSearch Service via Amazon Kinesis Data Firehose

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Amazon Virtual Private Cloud (Amazon VPC) flow logs enable you to track the IP traffic going to and from the network interfaces in your VPC for your workloads. Analyzing VPC logs helps […]

How to get best price performance from your Amazon Redshift Data Sharing deployment

Amazon Redshift is a fast, scalable, secure, and fully-managed data warehouse that enables you to analyze all of your data using standard SQL easily and cost-effectively. Amazon Redshift Data Sharing allows customers to securely share live, transactionally consistent data in one Amazon Redshift cluster with another Amazon Redshift cluster across accounts and regions without needing to […]

Run fault tolerant and cost-optimized Spark clusters using Amazon EMR on EKS and Amazon EC2 Spot Instances

Amazon EMR on EKS is a deployment option in Amazon EMR that allows you to run Spark jobs on Amazon Elastic Kubernetes Service (Amazon EKS). Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances save you up to 90% over On-Demand Instances, and is a great way to cost optimize the Spark workloads running on Amazon […]

Monitor AWS workloads without a single line of code with Logz.io and Kinesis Firehose

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Observability data provides near real-time insights into the health and performance of AWS workloads, so that engineers can quickly address production issues and troubleshoot them before widespread customer impact. As AWS workloads […]

Introducing native Delta Lake table support with AWS Glue crawlers

June 2023: This post was reviewed and updated for accuracy. Delta Lake is an open-source project that helps implement modern data lake architectures commonly built on Amazon S3 or other cloud storages. With Delta Lake, you can achieve ACID transactions, time travel queries, CDC, and other common use cases on the cloud. Delta Lake is […]

Getting started with AWS Glue Data Quality for ETL Pipelines

June 2023: This post was reviewed and updated with the latest release from AWS Glue Data Catalog. Today, hundreds of thousands of customers use data lakes for analytics and machine learning. However, data engineers have to cleanse and prepare this data before it can be used. The underlying data has to be accurate and recent […]

AWS Marketplace Seller Insights team uses Amazon QuickSight Embedded to empower sellers with actionable business insights

AWS Marketplace enables independent software vendors (ISVs), data providers, and consulting partners to sell software, services, and data to millions of AWS customers. Working in partnership with the AWS Partner Network (APN), AWS Marketplace helps ISVs and partners build, market and sell their AWS offerings by providing crucial business, technical, and marketing support. The AWS […]

Amazon EMR Serverless cost estimator

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run applications using open-source big data analytics frameworks such as Apache Spark and Hive without configuring, managing, and scaling clusters or servers. You get all the features of the latest open-source frameworks with the performance-optimized […]