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.

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.

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.

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.

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.

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.

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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.

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?

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.

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

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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

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.

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Digital Twins and Real-Time Digital Twins: What’s the Difference?

ScaleOut Software

ScaleOut Software has extended the concept of digital twins beyond PLM for use in real-time streaming analytics within live, mission-critical systems. provide context for streaming analytics.

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.

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In-Stream Big Data Processing

Highly Scalable

It is great that the existing technologies like Hive, Storm, and Impala enable us to crunch Big Data using both batch processing for complex analytics and machine learning, and real-time query processing for online analytics, and in-stream processing for continuous querying.

Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

In this application, it may make sense to migrate the low-level twin to the edge for better responsiveness and uninterrupted operations, while keeping the high-level, “strategic” twin in the cloud where computing resources are available to execute its predictive analytics algorithm.

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Dareboost at Etam: when Web Performance meets a strong culture of innovation

Dareboost

Leslie] My Name is Leslie-Anne Buffignani, … Continue reading Dareboost at Etam: when Web Performance meets a strong culture of innovation → Performance analyticsWe often assist our clients in their web performance optimization projects.

2019 Open Source Database Report: Top Databases, Public Cloud vs. On-Premise, Polyglot Persistence

Scalegrid

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Or, considering adding a new database to your application and want to see which combinations are most popular?

Scaling Uber’s Apache Hadoop Distributed File System for Growth

Uber Engineering

Architecture Apache Hadoop Big Data Big Data Analysis Garbage Collection Hadoop Hadoop Distributed File System Hadoop Infra & Analytics Team HBase HDFS HDFS Federation HIVE Hoodie Infrastructure JAR Jenkins NameNode PRC Puppet Router-based Federation Uber Uber Data Foundation Team Uber Engineering View File System WebHDFS YARNThree years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

Give Meaning to 100 Billion Events a Day — The Shift to Redshift

High Scalability

In part one , we described our Analytics data ingestion pipeline, with BigQuery sitting as our data warehouse. However, having our analytics events in BigQuery is not enough. Most importantly, data needs to be served to our end-users. TL;DR?—?Teads —?Teads

Should You Use ClickHouse as a Main Operational Database?

Percona

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Analytical databases are optimized for a low number of slow queries. The most important limitations of the analytical databases are: Deletes and updates are non-existent or slow.

Vue Dashboard Tutorial Using Cube.js

DZone

We recently covered how to build an analytics dashboard with React and Angular. What both of these guides share is Cube.js — an open-source analytics framework, which powers these dashboards with high-performance data. In this tutorial, I'll touch on some details and provide a step-by-step guide on building your own analytics dashboard with Vue. There are a couple of popular front-end frameworks today.

PerformanceObserver and Paint Timing API

José M. Pérez

length ; i ++ ) {. // Process entries. // report back for analytics and monitoring. //. }. } ) ; // register observer for long task notifications.

Design Of A Modern Cache—Part Deux

High Scalability

This structure works surprisingly well for many important workloads like database, search, and analytics. This is a guest post by Benjamin Manes , who did engineery things for Google and is now doing engineery things as CTO of Vector.

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Advancing Application Performance with NVMe Storage, Part 3

DZone

Financial Analytics – Financial services and financial technology (FinTech) are increasingly turning to automation and artificial intelligence to fuel their decision making processes for investments. NVMe Storage Use Cases.

Discover frustrating user experiences with automatic rage click detection

Dynatrace

Usability analytics with rage clicks will be publicly available towards the end of June, 2019. These analytics capabilities can be used with or without enabling Session Replay. Dynatrace news.

Enrich real user session analysis with business and domain data by leveraging session properties

Dynatrace

User session properties can greatly improve your analytics capabilities when using the Dynatrace User Session Query Language (USQL) for analytics that require advanced filtering, such as multiple filters (see the image below) or persistent filtering across analysis views.

Fostering a Web Performance Culture

José M. Pérez

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye.

The Three Types of Performance Testing

CSS Wizardry

Once in production, our site will likely look very different to how it did in our development environment: tag managers have kicked in, your ads are on the site, your analytics package is capturing data, and all third parties are implemented and running.

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

In the People space, our data teams contribute to consolidated systems of record on employees, contractors, partners and talent data to help central teams manage headcount planning, reduce acquisition cost, improve hiring practices, and other people analytics related use-cases.

Python at Netflix

The Netflix TechBlog

CORE The CORE team uses Python in our alerting and statistical analytical work. We’ve developed a time series correlation system used both inside and outside the team as well as a distributed worker system to parallelize large amounts of analytical work to deliver results quickly.

Why Page Speed Scores can be Dangerous

MachMetrics

If you use analytics software from a third party, like Google Analytics, these will show up as marks on PageSpeed Insights. Yes, Google is marking us down for using their own analytics tools.

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The Future in Visual Computing: Research Challenges

ACM Sigarch

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. In a traditional visual analytics pipeline, we compress the data by exploiting the redundancies in time and space. For example, compression schemes may evolve to be analytics aware.

CSS and Network Performance

CSS Wizardry

In fact, Google Analytics even tell us what to do, and they’re right: Copy and paste this code as the first item into the of every webpage you want to track.

Stuff The Internet Says On Scalability For February 8th, 2019

High Scalability

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. Wake up! It's HighScalability time: Change is always changing.

Stuff The Internet Says On Scalability For November 23rd, 2018

High Scalability

Waqas Dhillon : The goal of in-database machine learning is to bring popular machine learning algorithms and advanced analytical functions directly to the data, where it most commonly resides – either in a data warehouse or a data lake. Wake up!

Advancing Application Performance with NVMe Storage, Part 1

DZone

Financial analysis with real-time analytics is used for predicting investments and drives the FinTech industry's needs for high-performance computing.

The 10 Must-Track Web Performance Metrics

MachMetrics

Web analytics such as click-through rates, bounce rates, website business transactions and sales, response times, web server usage, social media interaction, and many other key performance indicators will help ensure your site is optimal.

AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

Cluster and container Log Analytics. 3 Log Analytics. If you want to learn more about log analytics, check out my YouTube tutorial on Log Analytics and look out for our product team’s blog on log analytics. Dynatrace news.

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Displaying Page Load Metrics on Your Site

José M. Pérez

Leonardo Zizzamia has been working on Perfume.js , a library to measure these metrics, annotate them to the dev tools timeline and optionally reporting them to Google Analytics. I was browsing Tim Kadlec’s website and I noticed he had added page load time metrics in the footer.