Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

Highly Scalable

MARCH 10, 2015

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods.

Retail 152

Retail C++ Analytics Metrics 152

Dynatrace

JANUARY 16, 2023

Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch. The need for runtime security observability is growing to automate vulnerability impact analysis. This report reflects Kubernetes adoption statistics based on the analysis of 4.1

Open Source 342

Open Source Java Operating System Programming 342

Dynatrace

APRIL 11, 2023

Dynatrace Runtime Vulnerability Analysis now covers the entire application stack – blog Automatic vulnerability detection at runtime and AI-powered risk assessment further enable DevSecOps automation. 2022 CISO Report: Retail sector – report Dive deep into the state of runtime vulnerability management in retail and how to protect your brand.

Cloud 186

Cloud DevOps Open Source Retail 186

All Things Distributed

NOVEMBER 5, 2015

Mid-sized Organisations – Haven Power , Holiday Extras , ">Exeter Family Friendly , ">Royal Opera House , ">Total Jobs , Retail Companies – Shop Direct , Nisa Retail , Kurt Geiger , Sport Pursuit. Enterprise Companies – Unilever , ATOC , National Rail Enquiries.

AWS 167

AWS Retail Entertainment IoT 167

The Netflix TechBlog

MARCH 2, 2021

We worked in different industries before joining Netflix, including tech, entertainment, retail, science policy, and research. I started working at a local payment processing company after graduation, where I built survival models to calculate lifetime value and experimented with them on our brand new big data stack.

Analytics 207

Analytics Innovation C++ Engineering 207

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. This type of analysis is greatly eased by open source tools such RStudio, Jupyter, Zeppelin along with scripting languages R and Python.

Big Data 40

Big Data Retail Storage Google 40