Mythbusting the Analytics Journey

The Netflix TechBlog

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. data-engineering data-science data-visualization netflix analytics

Analytics at Netflix: Who we are and what we do

The Netflix TechBlog

But there is far less agreement on what that term “data analytics” actually means?—?or But here we are talking about Netflix’s Data Science and Engineering group, which specializes in analytics at scale. In this post, we refer to these two titles collectively as the “analytics role.”

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Digital Business Analytics: Accelerating your dashboard journey

Dynatrace

We introduced Dynatrace’s 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. Dynatrace news.

DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

Dynatrace

Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions. From the BizOpsConfigurator analytics, we were able to draw conclusions about which dashboard packs to focus on next. Dynatrace news.

A Day in the Life of a Content Analytics Engineer

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and I’m a Senior Analytics Engineer on the Content and Marketing Analytics Research team. Being an Analytics Engineer is like being a hybrid of a librarian ?? How did I become interested in Analytics?

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. If you’re hoping for more useful analytics data on your site, you have to think about it a little harder up front. It takes a little effort to get the analytics you really care about.

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. Digital Business Analytics extends the Dynatrace Software Intelligence platform to mine the data Dynatrace already observes, creating new opportunities for improving business outcomes. A sample Digital Business Analytics dashboard.

Transform digital experience in real-time using Experience Cloud ID from Adobe Analytics

Dynatrace

Many enterprise digital marketing teams use the best-in-class web analytics solutions like Adobe Analytics to see which users are abandon ing their journey , how paid search and email campaigns are performing, and to understand user behavior. Dynatrace news.

Why Use “Real-Time Digital Twins” for Streaming Analytics?

ScaleOut Software

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? Traditional streaming analytics finds patterns and trends in the data stream.

Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog. Dynatrace news.

Visual Test Analytics – The Future of Software Test Reports

DZone

If you are a practitioner of automated testing, It's quite common to frequently script and runs a high number of automated tests for the businesses we work with. So when you have a high volume of test results to analyze, it can be challenging to analyze and understand the product's insights. Even exporting results in Excel will not help as such large amounts of data makes it difficult to identify trends.

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. Cool parts of integrating Adobe Analytics and Dynatrace. Therefore, by integrating Adobe Analytics and Dynatrace you get a lot more useful insights to tweak and optimize the perfect performance.

Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

PurePath unlocks precise and actionable analytics across the software lifecycle in heterogenous cloud-native environments. PurePath analytics provide a waterfall visualization of all requests , making it easy to identify hotspots. Dynatrace news.

The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. In-Memory Data Grids for Fast-Changing Data.

The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. In-Memory Data Grids for Fast-Changing Data.

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. What does this mean and how can you unlock Digital Business Analytics? With Digital Business Analytics, customers are already delivering tangible business results and pioneering digital transformation across various industries and organization sizes.

Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics

Dynatrace

The post Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics appeared first on Dynatrace blog. Dynatrace news.

Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

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. But whenever you see one of your KPIs underperforming, does your web analytics tool give you a clear answer as to why? Google Analytics. Dynatrace news.

Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics

Dynatrace

The post Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics appeared first on Dynatrace blog. Dynatrace news.

Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. Use State Information for Aggregate Analytics. This new paradigm for streaming analytics can be applied in numerous applications.

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. Use State Information for Aggregate Analytics. This new paradigm for streaming analytics can be applied to numerous applications.

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.

Procella: unifying serving and analytical data at YouTube

The Morning Paper

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages. Many modern analytical systems today achieve this by using LLVM to compile the execution plan to native code at query time.

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.

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. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

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. Despite all the pre-deployment testing you might employ, this makes it really tough to change them with confidence.

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.

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. See why Greenplum is the best database for analytics, machine learning, and AI use cases. Let’s walk through the top use cases for Greenplum: Analytics.

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. I have seen our customers do so many radical new things with the analytics tools that our partners and us make available that I have made a few observations I would like to share with you.

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 ».

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. Collaboration and sharing of live analytics : Users often want to slice and dice their data and share it in various ways. They plan to adopt QuickSight for their new data solution and looks forward to QuickSight democratizing business analytics in their company.

Modern approaches to observability and monitoring for multicloud environments

Dynatrace

Application performance monitoring Cloud and microservices #fullstack #UX AI-powered application monitoring Artificial intelligence digital performance monitoring log analytics observability topologyDynatrace news.

[CSF] LogViewer: A New Tool for Monitoring Logs

DZone

Log analysis tools can be divided into two groups: spring boot log analytics debugging tools log viewerThe project is located on GitHub: [link]. Introduction.

The future of software testing: Machine learning to the rescue

TechBeacon Testing

App Dev & Testing, Testing, Test Automation, Predictive Analytics, Quality Assurance (QA), Shift-left, Artificial Intelligence (AI), Machine LearningThe last decade has seen a relentless push to deliver software faster.

Billion-dollar problem solved through 21-day digital transformation

Dynatrace

Dynatrace Digital Business Analytics enabled the bank to have real-time dashboards showing the business KPIs and the most success relevant IT metrics of all the hard work. Let your Dynatrace Sales Engineer know you want to get started with Digital Business Analytics. Dynatrace news.

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. Data is important and necessary in this increasingly competitive world.

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

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. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics. An interesting observation is that data analytics is no longer the purview of large enterprises. All Things Distributed.

How Our Paths Brought Us to Data and Netflix

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and Over the course of the four years it became clear that I enjoyed combining analytical skills with solving real world problems, so a PhD in Statistics was a natural next step. netflix data-science data-engineering analytics

Optimizing dbt and Google’s BigQuery

DZone

performance data etl data warehouse data engineering data transformation elt etl testing etl solution data warehousing analyticsSetting up a data warehouse is the first step towards fully utilizing big data analysis. Still, it is one of many that need to be taken before you can generate value from the data you gather. An important step in that chain of the process is data modeling and transformation.

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