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. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 193

Analytics Storage Retail Monitoring 193

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 191

Azure Analytics Artificial Intelligence Innovation 191

Dynatrace

OCTOBER 7, 2020

Let’s take the example of a globally distributed retailer that collects revenue measurements every minute for all its shops worldwide. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246

Metrics Analytics Storage Monitoring 246

The Netflix TechBlog

DECEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Alex Diamond This Q&A aims to mythbust some common misconceptions about succeeding in analytics at a big tech company. After a few years of wearing many different proverbial hats, I put them all to use in the Analytics Engineer role here.

Analytics 140

Analytics Retail Education Engineering 140

Dynatrace

SEPTEMBER 27, 2024

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. In our retail company example, older systems are involved in shipping the order. On top of that, the data sources are inconsistent.

Processing 210

Processing Retail Analytics Monitoring 210

All Things Distributed

MARCH 11, 2015

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. Many of these innovations will have a significant analytics component or may even be completely driven by it. Cloud analytics are everywhere.

Analytics 111

Analytics Cloud Healthcare Retail 111

Dynatrace

DECEMBER 21, 2023

Business process monitoring examples: A retail use case It can be helpful to put business processes in the context of a specific type of business or industry. Traditional approaches to business process monitoring must evolve to provide the end-to-end visibility, IT context, and timeliness that organizations need.

Processing 226

Processing Monitoring Retail Analytics 226

Dynatrace

SEPTEMBER 2, 2022

If the mantra in sales is “Always be closing,” the mantra for online retail storefronts is “Always be online.”. Peak loads can overload and crash retailer websites and derail customer interactions. Customer experience has become paramount for retailers, as visitors demand instant responses — especially during times of high volume.

Traffic 204

Traffic Strategy Retail Ecommerce 204

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Remote management and automated alerting are, therefore, crucial.

Retail 271

Retail Storage Analytics Cloud 271

Dynatrace

NOVEMBER 27, 2019

For most retail customers, this weekend marks one of the busiest times of the year. Whether you’re in banking, retail, or eCommerce, this holiday season impacts everyone so remember that you have the Dynatrace ONE team and our entire Technical Support organization here for you! Wait, what does this have to do with Dynatrace?

Retail 38

Retail Ecommerce Analytics Best Practices 38

Dynatrace

JANUARY 22, 2024

Retailers can analyze how factors such as demand, competition, and market trends affect pricing. Their scalability, comparatively low cost, and support for advanced analytics and machine learning have helped fuel AI’s rapid enterprise adoption.

Artificial Intelligence 220

Artificial Intelligence Healthcare Retail Government 220

Dynatrace

JANUARY 18, 2023

Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. Analytics without boundaries. Example business events from anywhere. Configuration overview.

Analytics 237

Analytics Retail Storage Monitoring 237

Dynatrace

APRIL 10, 2023

Rural lifestyle retail giant Tractor Supply Co. Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., discussed the 85-year-old retailer’s cloud migration journey and the importance of multicloud observability at Dynatrace Perform 2023.

Cloud 182

Cloud Ecommerce Performance Retail 182

Dynatrace

SEPTEMBER 20, 2022

From banking and retail to healthcare and government, nearly all industries have experienced a dramatic shift to mobile computing over the last decade. Sign up for the Dynatrace Session Replay Performance Clinic and discover how to unleash the power of advanced mobile user analytics. Get started.

Healthcare 233

Healthcare Government Mobile Retail 233

Dynatrace

AUGUST 8, 2024

To cope with the risk of cyberattacks, companies should implement robust security measures combining proactive preventive measures such as runtime vulnerability analytics , with comprehensive application and perimeter protection through firewalls, intrusion detection systems, and regular security audits.

Software 260

Software Software Infrastructure Network 260

Dynatrace

APRIL 9, 2020

One of the major pharmacy chains in Mexico started focusing on real-time end-user analytics captured by Dynatrace to determine where and which products were the most purchased. The response time chart below is from a retail chain in Mexico, showing a couple of “blips” where the performance response time went way below average.

Retail 185

Retail Government Infrastructure Mobile 185

High Scalability

FEBRUARY 8, 2019

According to 451 Research’s Voice of the Enterprise: Data & Analytics, 28% of businesses run analytics on their employee behavior data, roughly the same number that analyze IT infrastructure data. Retail investors have to put their money somewhere.

Internet 188

Internet Internet Scalability Wireless 188

Dynatrace

OCTOBER 17, 2023

retail giant, initially tied to an ingest-centric pricing vendor, found itself manually curbing costs by limiting daily log ingestion to 3 TB and reducing retention periods. Consequently, the company’s mean time to identify (MTTI) and mean time to resolve (MTTR) during peak retail seasons was too slow. A prominent U.S. Transparency.

Retail 248

Retail Storage Best Practices Architecture 248

Dynatrace

JULY 10, 2023

Dynatrace also named a Gartner Customers’ Choice Customers also named Dynatrace a Customers’ Choice in the latest Gartner® Peer Insights™ Voice of the Customer: Application Performance Monitoring report, from November 2022.

Monitoring 231

Monitoring Retail Performance Government 231

Dynatrace

AUGUST 10, 2023

Extend business observability to data at rest In our past blog post about business agility, we looked at a retail sales use case example to investigate potential causes of underperforming store locations. The post Extend business observability: Extract business events from online databases (Part 1) appeared first on Dynatrace news.

Database 236

Database Metrics Retail Analytics 236

Dynatrace

MAY 8, 2023

After getting the right observability and analytics platform in place, the primary key to success is enabling teams to access it en masse. federal agency. Customer Panel: Digital Transformation Watch now! Their advice includes the following practices: Get technical and platform teams on board.

Strategy 186

Strategy Retail DevOps Traffic 186

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. This includes topology and dependencies for instant cost-efficient, AI-powered analytics at scale.

Analytics 200

Analytics Infrastructure Storage Architecture 200

Dynatrace

APRIL 26, 2022

RUM use cases include monitoring an online retailer’s site to detect any increases in page load time, tracking users’ paths through a conversion funnel, or analyzing adoption of new mobile app versions. Endpoint monitoring (EM). How automatic and intelligent AIOps makes DEM and business observability possible.

Monitoring 216

Monitoring Social Media IoT Metrics 216

Dynatrace

APRIL 11, 2023

2022 CISO Report: Retail sector – report Dive deep into the state of runtime vulnerability management in retail and how to protect your brand. The schema and index-dependent approach of traditional databases can’t keep pace or provide adequate analytics of these hyperscale environments.

Cloud 199

Cloud DevOps Open Source Retail 199

Dynatrace

NOVEMBER 22, 2022

For retail organizations, peak traffic can be a mixed blessing. The nightmare scenario for online retailers during peak periods, such as Black Friday and Cyber Monday, is a system crash. With monitoring data consolidated into a single AI-enabled analytics platform, teams can automate operations and incident response.

Infrastructure 195

Infrastructure Availability Systems Retail 195

The Netflix TechBlog

MARCH 2, 2021

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production.

Analytics 219

Analytics C++ Innovation Engineering 219

DZone

JULY 18, 2019

There is a lot of discussion going currently about SMAC – Social, Mobile, Analytics and the Cloud. It also requires some prediction based on the analytics of real product usage. While keeping such reports in mind, organizations in different business areas like retail, banking, finance, insurance, games, etc.

Testing 100

Testing Retail Analytics Games 100

Dynatrace

NOVEMBER 12, 2020

No matter if your metrics are directly related to application and service performance, or if you just want to support other data analytics use cases within your company, you can now use Dynatrace to collect and analyze every metric that’s important to the various departments of your enterprise.

Metrics 213

Metrics Retail Monitoring Analytics 213

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. To take advantage of the game-changing opportunities, businesses are looking to blend into the digital world.

AWS 157

AWS Cloud Artificial Intelligence IoT 157

Speed Curve

SEPTEMBER 27, 2017

I’m at Shop.org this week, having really interesting conversations with online retailers. Making customers happy is the not-so-secret secret to retail success. Here's an overview of the most common performance issues on retail sites, and how you can track them down and fix them. What's making my pages seem slower?

Retail 40

Retail Performance Metrics Analytics 40

Speed Curve

SEPTEMBER 20, 2022

Timing entries can be retrieved using a Performance Observer, and the data can be forwarded to a RUM or analytics product: const observer = new PerformanceObserver((list) => { let entries = list.getEntries().forEach((entry) You can also create performance budgets and get alerts when they exceed their thresholds.

Metrics 141

Metrics Retail Mobile Analytics 141

Dynatrace

AUGUST 10, 2023

Extend business observability to data at rest In our past blog post about business agility, we looked at a retail sales use case example to investigate potential causes of underperforming store locations. In part two of this blog series, you’ll see how we approached the Database Business Events Stream solution.

Database 130

Database Metrics Retail Analytics 130

All Things Distributed

JUNE 29, 2011

For Amazon retail, some of those dimensions are low pricing, large catalog, fast shipping, and convenience. For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. Driving down the cost of Big-Data analytics.

AWS 83

AWS Retail Innovation Strategy 83

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. According to Chris Zadeh, the CEO of Ohpen, large Dutch banks are already moving their entire retail banking platforms to the cloud using Ohpen core banking technology running on top of AWS.

Cloud 104

Cloud Energy AWS Healthcare 104

ScaleOut Software

JANUARY 9, 2020

Consider a retail chain of stores or restaurants with tens of thousands of outlets. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Consider a retail chain of stores or restaurants with tens of thousands of outlets. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.

Logistics 52

Logistics Retail Analytics Azure 52