AWS Big Data Blog

Category: *Post Types

­­Use fuzzy string matching to approximate duplicate records in Amazon Redshift

It’s common to ingest multiple data sources into Amazon Redshift to perform analytics. Often, each data source will have its own processes of creating and maintaining data, which can lead to data quality challenges within and across sources. One challenge you may face when performing analytics is the presence of imperfect duplicate records within the source data. This post presents one possible approach to addressing this challenge in an Amazon Redshift data warehouse using fuzzy matching.

Extract data from SAP ERP using AWS Glue and the SAP SDK

This is a guest post by Siva Manickam and Prahalathan M from Vyaire Medical Inc. Vyaire Medical Inc. is a global company, headquartered in suburban Chicago, focused exclusively on supporting breathing through every stage of life. Established from legacy brands with a 65-year history of pioneering breathing technology, the company’s portfolio of integrated solutions is […]

Automate schema evolution at scale with Apache Hudi in AWS Glue

In the data analytics space, organizations often deal with many tables in different databases and file formats to hold data for different business functions. Business needs often drive table structure, such as schema evolution (the addition of new columns, removal of existing columns, update of column names, and so on) for some of these tables […]

Deep dive into the AWS ProServe Hadoop Migration Delivery Kit TCO tool

In the post Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool, we introduced the AWS ProServe Hadoop Migration Delivery Kit (HMDK) TCO tool and the benefits of migrating on-premises Hadoop workloads to Amazon EMR. In this post, we dive deep into the tool, walking through all steps from log ingestion, transformation, visualization, and […]

Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool

When migrating Hadoop workloads to Amazon EMR, it’s often difficult to identify the optimal cluster configuration without analyzing existing workloads by hand. To solve this, we’re introducing the Hadoop migration assessment Total Cost of Ownership (TCO) tool. You now have a Hadoop migration assessment TCO tool within the AWS ProServe Hadoop Migration Delivery Kit (HMDK). […]

Improve observability across Amazon MWAA tasks

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that makes it simple to set up and operate end-to-end data pipelines in the cloud at scale. A data pipeline is a set of tasks and processes used to automate the movement and transformation of data between different systems.­ […]

Analyze Amazon S3 storage costs using AWS Cost and Usage Reports, Amazon S3 Inventory, and Amazon Athena

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. As the application portfolio grows, customers tend to store data from multiple application and different business functions […]

Run Apache Spark workloads 3.5 times faster with Amazon EMR 6.9

In this post, we analyze the results from our benchmark tests running a TPC-DS application on open-source Apache Spark and then on Amazon EMR 6.9, which comes with an optimized Spark runtime that is compatible with open-source Spark. We walk through a detailed cost analysis and finally provide step-by-step instructions to run the benchmark. With Amazon EMR 6.9.0, you can now run your Apache Spark 3.x applications faster and at lower cost without requiring any changes to your applications. In our performance benchmark tests, derived from TPC-DS performance tests at 3 TB scale, we found the EMR runtime for Apache Spark 3.3.0 provides a 3.5 times (using total runtime) performance improvement on average over open-source Apache Spark 3.3.0.

Diligent enhances customer governance with automated data-driven insights using Amazon QuickSight

This post is co-written with Vidya Kotamraju and Tallis Hobbs, from Diligent. Diligent is the global leader in modern governance, providing software as a service (SaaS) services across governance, risk, compliance, and audit, helping companies meet their environmental, social, and governance (ESG) commitments. Serving more than 1 million users from over 25,000 customers around the […]

How SikSin improved customer engagement with AWS Data Lab and Amazon Personalize

This post is co-written with Byungjun Choi and Sangha Yang from SikSin. SikSin is a technology platform connecting customers with restaurant partners serving their multiple needs. Customers use the SikSin platform to search and discover restaurants, read and write reviews, and view photos. From the restaurateurs’ perspective, SikSin enables restaurant partners to engage and acquire […]