Automatic data compression based on data access pattern In this example, we show how you can automate the data compression level based on the data access pattern and the age of the data. The following diagram i
data analysisdata structuresdata warehouseshigh energy physics instrumentation computingoptimisaThis paper reports on the activities aimed at improving the architecture and performance of the ATLAS EventIndex implementation in Hadoop. The EventIndex contains tens of billions of event records, each of which...
They anchor their core capabilities around Apache Iceberg, contributing toward an open, modular and interoperable architecture. Fivetran’s Managed Data Lake Service allows the data to be ingested as Iceberg tables. This eliminates the need for table format migration. After that, Starburst can be ...
Service Architecture Intelligence Service level management SECURITY Interactive application security testing (IAST) Security RX (Remediation Explorer) LATEST UPDATES Release notes What's new? End-of-life announcements ADMIN AND DATA Account & user management Data and APIs Data dictionary Security and privac...
Discover how computational storage with processor IP can optimize data center power and performance, reducing data movement and energy usage.
Identify sensitive data, classify it by importance, and eliminate ROT to reduce risk and storage costs. chevron_forward Archive and preserve sensitive information with immutability to ensure regulatory compliance. chevron_forward Surface early-warning attack signals and protect against potential breaches wit...
Adjust EPC architecture to improve VoLTE experience The EPC network has evolved from the packet switched (PS) core network, which was designed only for data services. The PS networks of most carriers are centralized. The serving GPRS support node (SGSN) and the gateway GPRS support node (GGSN...
It's an expensive option, but losing your data to Optimize Mac Storage's completely non-optimal storage architecture can be far more expensive. You can follow my day-to-day project updates on social media. Be sure to follow me on Twitter at@DavidGewirtz, on Facebook atFacebook.com/Davi...
Traditional storage architecture is designed around standardized hardware that provides generic block I/O interface, and software stack that is built on top of such abstract, generic block device. While this architecture has advantages of portability and backward compatibility,it is, however, facing ser...
The following architecture demonstrates how Oracle Data Platform is built to provide retailers with a cohesive, comprehensive framework to manage the entire data analytics lifecycle. At its center are two critical components: the operational data store (ODS)—used to store operational data that is ing...