Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 211

Analytics Storage Retail Monitoring 211

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

JANUARY 22, 2024

This information can enable more educated investment choices. Retailers can analyze how factors such as demand, competition, and market trends affect pricing. Data lakehouses can store and query structured, semi-structured, and unstructured data on low-cost infrastructure.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

Dynatrace

MAY 8, 2023

However, digital transformation requires significant investment in technology infrastructure and processes. Additionally, contextualized real-time dependency mapping and automatic analysis enabled them to quickly assess the risk and take action to protect user data and critical infrastructure. federal agency.

Strategy 172

Strategy Retail DevOps Education 172

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

All Things Distributed

NOVEMBER 21, 2017

Its support for advanced data structures (for example, lists, sets, and sorted sets) also enables a variety of in-memory use cases such as leaderboards, in-memory analytics, messaging, and more. Whether it is gaming, adtech, travel, or retail—speed wins, it's simple.

Games 112

Games Retail Latency Education 112