Category: Analytics

Customers today want to establish a single identity and access strategy across all of their own apps, such as on-premises apps, third-party cloud apps (SaaS), or apps in AWS. If your organization use Azure Active Directory (Azure AD) for cloud applications, you can enable single sign-on (SSO) for applications like Amazon QuickSight without needing to […]

This is a guest post by Shimpei Kodama, data engineer at Cookpad Inc. Cookpad is a tech company that builds a community platform where people share recipe ideas and cooking tips. The company’s mission is to “make everyday cooking fun.” It’s one of the largest recipe-sharing platforms in Japan with over 50 million users per […]

AWS Glue Studio is an easy-to-use graphical interface that speeds up the process of authoring, running, and monitoring extract, transform, and load (ETL) jobs in AWS Glue. The visual interface allows those who don’t know Apache Spark to design jobs without coding experience and accelerates the process for those who do. AWS Glue Studio was […]

In today’s world, data plays a vital role in helping businesses understand and improve their processes and services to reduce cost. You can use several tools to gain insights from your data, such as Amazon Kinesis Data Analytics or open-source frameworks like Structured Streaming and Apache Flink to analyze the data in real time. Alternatively, […]

In the world we live in today, companies need to quickly react to change—and to anticipate it. Customers tell us that their reliance on data has never been greater than what it is today. To improve your decision-making, you have two types of data transformation needs: data agility, the speed at which data turns into […]

This blog was last reviewed May, 2022. If you’re new to AWS Glue and looking to understand its transformation capabilities without incurring an added expense, or if you’re simply wondering if AWS Glue ETL is the right tool for your use case and want a holistic view of AWS Glue ETL functions, then please continue […]

General Data Protection Regulation (GDPR) is an important aspect of today’s technology world, and processing data in compliance with GDPR is a necessity for those who implement solutions within the AWS public cloud. One article of GDPR is the “right to erasure” or “right to be forgotten” which may require you to implement a solution […]

December 2022: This post was reviewed for accuracy. Stream processing is very useful in use cases where we need to detect a problem quickly and improve the outcome based on data, for example production line monitoring or supply chain optimizations. This blog post walks you through process of streaming existing data files and ongoing changes […]

This blog post was last reviewed and updated April, 2022. When you use Amazon Simple Storage Service (Amazon S3) to store corporate data and host websites, you need additional logging to monitor access to your data and the performance of your application. An effective logging solution enhances security and improves the detection of security incidents. […]

As Amazon EMR continues its widespread adoption, it’s important to enforce separation of duties using role-based access when submitting your hive jobs on EMR clusters in multi-tenant environments. In this post, we walk through the steps to set up authentication for Hive using Lightweight Directory Access Protocol (LDAP) and Microsoft Active Directory Domain Controller. Solution […]