The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS,...
Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. In general, you can build applications powered by LLMs...
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,...
Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning....
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...
Large organizations processing huge volumes of data usually store it in Amazon Simple Storage Service (Amazon S3) and query the data to make data-driven...
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...
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
Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive...
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 provides a managed Apache Hadoop framework that makes it straightforward, fast, and cost-effective to run Apache HBase. Apache HBase is a massively...
