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

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.

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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.”

Using a GPU Boosts TiDB Analytics Performance from 10 to 150

DZone

Authors: Ruoxi Sun (Tech Lead of Analytical Computing Team at PingCAP). TiDB is a Hybrid Transaction/Analytical Processing (HTAP) database that can efficiently process analytical queries. performance data analytics database architecture nvidia htap nvidia cuda

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.

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.

Dynatrace Business Analytics: BizDevOps collaboration through business observability

Dynatrace

In fact, for most of us, has become a priority, requiring us to expand our focus on observability to include business analytics metrics. With Dynatrace Business Analytics , you know in real-time when business KPIs–conversions, quotes, payments, registrations, purchases, etc.–degrade.

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.

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?

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. This doesn’t fully sum up how I use Google Analytics, but for those who aren’t familiar with it, it should serve as a basic overview. Digital and Business Analytics. Dynatrace news.

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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.

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.

Optimize mobile app performance, adoption, and conversions with Session Replay and business analytics

Dynatrace

How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics. Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

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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.

Business Analytics for mobile and custom applications enables advanced segmentation and BizDevOps collaboration

Dynatrace

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Dynatrace news.

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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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 ».

The Need for Real-Time Device Tracking

ScaleOut Software

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices?

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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. ebpf cloud-networking network-analytics druid big-data

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.

Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. What keeps me engaged and enjoying data engineering is giving super-suits and adrenaline shots to analytics engineers and data scientists.