The Analytics That Matter

CSS - Tricks

There are other analytics we can gather on a site, like usage analytics. For example, we might slap Google Analytics on a site, doing nothing but installing the generic snippet. Those are real user analytics, but it’s very generic analytic information.

Digital Business Analytics: Let’s get started!

Dynatrace

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Google Analytics and Dynatrace – Why you need both

Dynatrace

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. Dynatrace news.

Tightening the communication within BizDevOps with Adobe Analytics & Dynatrace

Dynatrace

For example, I’ll get asked “We are using Adobe Analytics/Omniture SiteCatalyst , would we retire this when we use Dynatrace?” The only exception to this would be if you have Adobe Analytics for the sole purpose of understanding geographically where your users are coming from.

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time.

Introducing Digital Business Analytics: AI-powered real-time answers for better business outcomes

Dynatrace

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. Digital Business Analytics in action. Dynatrace news.

Actionable insights with our Adobe Analytics integration and new web properties (referrer, UTM…)

Dynatrace

While Dynatrace provides software intelligence to accelerate your company’s digital transformation, web analytics tools like Adobe Analytics help you deeply understand your user journeys, segmentation, behavior, and strategic business metrics such as revenue, orders, and conversion goals.

Procella: unifying serving and analytical data at YouTube

The Morning Paper

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Evaluated over four typical YouTube Analytics query patterns, here are the performance and memory consumption figures for Artus vs Capacitor , Google BigQuery’s columnar storage format.

Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform

Uber Engineering

These insights range from in-the-moment traffic conditions that provide guidance on trip routes to the Estimated Time of Delivery (ETD) of an UberEATS … The post Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform appeared first on Uber Engineering Blog. Uber facilitates seamless and more enjoyable user experiences by channeling data from a variety of real-time sources.

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure

The Morning Paper

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., NSDI’20. Modern software systems at scale are incredibly complex ever changing environments.

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

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.

Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Follower Clusters – 3 Major Use Cases for Syncing SQL & NoSQL Deployments

Scalegrid

Data Analytics. In most cases, the culprit turns out to be an analytics job that is accessing tons of data and ends up slowing down the entire system. Here are the two options we typically suggest: If the analytics job is running on the primary/master server, move it to a secondary/replica server. If the analytics job is already running on a secondary node, and the performance degradation is unacceptable, we recommend moving the jobs to a dedicated analytics cluster.

Why Telcos Need a Real-Time Analytics Strategy

VoltDB

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. In the telco world, batch processing has been the de facto choice for data processing and billing, so any analytics strategy had to be based on a batch processing model. Does this affect our analytics strategy? There is no substitute for real-time analytics and action.

Why Telcos Need a Real-Time Analytics Strategy

VoltDB

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. In the telco world, batch processing has been the de facto choice for data processing and billing, so any analytics strategy had to be based on a batch processing model. Does this affect our analytics strategy? There is no substitute for real-time analytics and action.

How Netflix uses Druid for Real-time Insights to Ensure a High-Quality Experience

The Netflix TechBlog

apache realtime druid metrics-and-analytics kafkaBy Ben Sykes Continue reading on Netflix TechBlog ».

Observations on the Importance of Cloud-based Analytics

All Things Distributed

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it.

Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

SPICE sits between the user interface and the data source and can rapidly ingest all or part of the data into its fast, in-memory, columnar-based data store that’s optimized for analytical queries.

Data Democratization and How to Get Started?

DZone

big data performance data data analytics business intelligence data democratization analyics data analysis dashboardToday data is an important factor for business success. In every business, it has been observed that data is playing a game-changing moment to improve business performance.

Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. All Things Distributed.

Optimize your marketing campaign investment by leveraging BizDevOps

Dynatrace

The “normal” set up, is that marketers will be looking at their web-analytics solutions, whilst the IT operations team are looking at their monitoring but neither are connected or talking with one another about what is going on in each other’s team. Dynatrace news.

Follower Clusters – 3 Major Use Cases for Syncing SQL & NoSQL Deployments

High Scalability

Here are a few critical ways in which it differs from replication: Analytics Cluster Appliction monitoring Cloning Clustering Database Database Development Database Reporting Database Testing DevOps Follower Cluster MongoDB Monitoring MySQL Postgres Production Data Replication admin analytics best platform cluster clusters database database replication database scalability databases deployment infrastructure mysql mysql cluster mysql load optimization postgresql replication sql testing

ScaleGrid DBaaS Expands MySQL Hosting Services Through AWS Cloud

Scalegrid

The platform allows MySQL AWS administrators to automate their time-consuming database operations in the cloud and improve their performance with high availability, disaster recovery, polyglot persistence, and advanced monitoring and analytics. PALO ALTO, Calif.,

Cloud 167

Page Experience and Core Web Vitals: a new SEO factor focusing on website speed

Dareboost

Google recently announced a major change to … Continue reading Page Experience and Core Web Vitals: a new SEO factor focusing on website speed → Performance analytics

Testing AI-based apps? Think like a human

TechBeacon Testing

App Dev & Testing, Testing, Artificial Intelligence (AI), Machine Learning, Predictive Analytics, Special Coverage: TSQA 2020 ConferenceYour testing of software that includes artificial intelligence (AI) components will be more sophisticated and robust if you just think in human terms.

Voluntary Contact Self-Tracing for Companies

ScaleOut Software

With real-time aggregate analytics, managers can also track other important indicators, such as the number of employees and sites affected by an outbreak, the average number of interconnected contacts, and the percentage of affected employees who have received notifications and taken action.

Engineering SQL Support on Apache Pinot at Uber

Uber Engineering

Uber leverages real-time analytics on aggregate data to improve the user experience across our products, from fighting fraudulent behavior on Uber Eats to forecasting demand on our platform. .

What Does APM Stand For?: A Newbie Guide

DZone

devops monitoring management analytics operations eum euem newbie what is apmDefining APM. Today's blog post is headed back to the basics.

PostgreSQL Trends: Most Popular Cloud Providers, Languages, VACUUM, Query Management Strategies & Deployment Types in Enterprise

Scalegrid

PostgreSQL popularity is skyrocketing in the enterprise space. As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. We recently attended the PostgresConf event in San Jose to hear from the most active PostgreSQL user base on their database management strategies.

Cloud 127

2019 PostgreSQL Trends Report: Private vs. Public Cloud, Migrations, Database Combinations & Top Reasons Used

High Scalability

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines. So what makes PostgreSQL so special, and how is it being used today?

Building a responsible data capture policy

Dynatrace

The addition of the Digital Business Analytics module to the Dynatrace Software Intelligence Platform gives you a new way to understand the impact that application errors, performance and user behavior have on your business. Dynatrace news.

How to Monitor MySQL Deployments with Prometheus & Grafana at ScaleGrid

Scalegrid

Monitoring your MySQL database performance in real-time helps you immediately identify problems and other factors that could be causing issues now or in the future. It’s also a good way to determine which components of the database can be enhanced or optimized to increase your efficiency and performance. This is usually done through monitoring software and tools either built-in to the database management software or installed from third-party providers.

The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT.

Components of Effective Software Monitoring: App Logs, Infrastructure Telemetry, Health-Check Reports

DZone

App-specific metrics are complemented by other analytics to give a broader picture of system state and performance. software development log management monitoring and performance grafana health checks monitoring and alerting application log analytics graylog telemetry

Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model.

Uber’s Data Platform in 2019: Transforming Information to Intelligence

Uber Engineering

Architecture Uber Data Big Data Data Analytics Data Platform EoY Infrastructure Product Platform Uber Engineering

Challenges Testers Face for Testing SMAC

DZone

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. cloud performance analytics mobile testing testers cloud testingAn Intro to SMAC. SMAC is a new platform with a lot of growth expected in the years to come. Software testing is not only about testing individual parts of the application but also testing the integrated product associated with it.

Retail 100

The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

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.

The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Real-Time Digital Twins Simplify Development

ScaleOut Software

Writing applications for streaming analytics can be complex and time consuming. This application cannot be implemented by most streaming analytics platforms. Compare that to standing up web, application, database, and analytics services.

Search Console Speed Report: everything you need to know

Dareboost

Let’s discover how to use the Search Console Speed Report and how to interpret the related … Continue reading Search Console Speed Report: everything you need to know → Performance analytics

Speed 77

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Data Mining Problems in Retail

Highly Scalable

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way.

Retail 175