Account reconciliation is an important step to ensure the completeness and accuracy of financial statements. Specifically, companies must reconcile balance sheet accounts that could...
With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg,...
This is a guest post co-written with Mukul Sharma, Software Development Engineer, and Ozcan IIikhan, Director of Engineering from GoDaddy. GoDaddy empowers everyday entrepreneurs...
Amazon EMR Serverless provides a serverless runtime environment that simplifies the operation of analytics applications that use the latest open source frameworks, such as Apache Spark...
This post is written in collaboration with Elijah Ball from Ontraport. Customers are implementing data and analytics workloads in the AWS Cloud to optimize...
Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. There are two key components to...
In today’s digital age, logging is a critical aspect of application development and management, but efficiently managing logs while complying with data protection regulations...
We recently announced support for AWS Lake Formation fine-grained access control policies in Amazon Athena queries for data stored in any supported file format...
Introduction
Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files,...
Introduction
Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data...
Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple to run applications using open-source analytics frameworks such as Apache...