Arne  Denesik

Arne Denesik

1603436400

Explaining Cloudflare's ABR Analytics

Cloudflare’s analytics products help customers answer questions about their traffic by analyzing the mind-boggling, ever-increasing number of events (HTTP requests, Workers requests, Spectrum events) logged by Cloudflare products every day. The answers to these questions depend on the point of view of the question being asked, and we’ve come up with a way to exploit this fact to improve the quality and responsiveness of our analytics.

Useful Accuracy

Consider the following questions and answers:

What is the length of the coastline of Great Britain12.4K km

**What is the total world population? **7.8B

**How many stars are in the Milky Way? **250B

**What is the total volume of the Antarctic ice shelf? **25.4M km3

What is the worldwide production of lentils? 6.3M tonnes

**How many HTTP requests hit my site in the last week? **22.6M

**Useful answers do not benefit from being overly exact. For large quantities, knowing the correct order of magnitude and a few significant digits gives the most useful answer. At Cloudflare, the difference in traffic between different sites or when a single site is under attack can cross nine **orders of magnitude and, in general, all our traffic follows a Pareto distribution, meaning that what’s appropriate for one site or one moment in time might not work for another.

#analytics #product news #logs #developers #data analytic

What is GEEK

Buddha Community

Explaining Cloudflare's ABR Analytics
Jackson  Crist

Jackson Crist

1618209540

Measuring Crop Health Using Deep Learning – Notes From Tiger Analytics

Agrochemical companies manufacture a range of offerings for yield maximisation, pest resistance, hardiness, water quality and availability and other challenges facing farmers. These companies need to measure the efficacy of their products in real-world conditions, not just controlled experimental environments. Single-crop farms are divided into plots and a specific intervention performed in each. For example, hybrid seeds are sown in one plot while another is treated with fertilisers, and so on. The relative performance of each treatment is assessed by tracking the plants’ health in the plot where that treatment was administered.

#featured #deep learning solution #tiger analytics #tiger analytics deep learning #tiger analytics deep learning solution #tiger analytics machine learning #tiger analytics ml #tiger analytics ml-powered digital twin

Arne  Denesik

Arne Denesik

1603436400

Explaining Cloudflare's ABR Analytics

Cloudflare’s analytics products help customers answer questions about their traffic by analyzing the mind-boggling, ever-increasing number of events (HTTP requests, Workers requests, Spectrum events) logged by Cloudflare products every day. The answers to these questions depend on the point of view of the question being asked, and we’ve come up with a way to exploit this fact to improve the quality and responsiveness of our analytics.

Useful Accuracy

Consider the following questions and answers:

What is the length of the coastline of Great Britain12.4K km

**What is the total world population? **7.8B

**How many stars are in the Milky Way? **250B

**What is the total volume of the Antarctic ice shelf? **25.4M km3

What is the worldwide production of lentils? 6.3M tonnes

**How many HTTP requests hit my site in the last week? **22.6M

**Useful answers do not benefit from being overly exact. For large quantities, knowing the correct order of magnitude and a few significant digits gives the most useful answer. At Cloudflare, the difference in traffic between different sites or when a single site is under attack can cross nine **orders of magnitude and, in general, all our traffic follows a Pareto distribution, meaning that what’s appropriate for one site or one moment in time might not work for another.

#analytics #product news #logs #developers #data analytic

Alteryx Provides Free Access to Its Data Science Courses for Recent Graduates

The overnight transformation of companies adopting new technologies and transitioning to a digital work environment amid pandemic has made upskilling the most critical component in a worker’s repertoire in 2021. While information, data and the ability to make the right decisions serve as a stabiliser across verticals, analytics and data science have become indispensable tools to navigate today’s career scene.

According to a recent Forrester study, the top two challenges decision-makers cited are — the lack of employees with data skillsets and the lack of skills among business users who must use data insights. Almost 66% of organisations believe there is a requirement for data literacy among employees, where 59% demand analytic efficiency. However, with a converged approach to analytics through democratising access to data, automating tedious and complex processes, and promoting upskilling of data and knowledge workers, organisations can create a thriving data and analytics culture within.

#featured #advancing data and analytics #alteryx adapt #alteryx advancing data and analytics #alteryx upskilling programs #analytics upskilling #data and analytics #data science and analytics #start your analytics journey with adapt

Tyrique  Littel

Tyrique Littel

1599984000

Send Events From WebView to Firebase Analytics

More and more mobile applications are utilizing power WebView to customize the user experience on runtime. And it is all the more important to track users’ activities on the WebView.

However, Firebase analytics’s SDK doesn’t support sending events from WebView pages of the mobile app. So to use Analytics in WebView, its events must be forwarded to native code before they can be sent to analytics.

So,

First, we have to pass the events from WebView to native code.

Second, fetch the passed events in the native environment and send it to Firebase Analytics.

#google-analytics #web-analytics #analytics #firebase #digital-analytics

Gerhard  Brink

Gerhard Brink

1624098180

How Can Cognitive Analytics Go Beyond Big Data Analytics?

Cognitive analytics is likely to redefine big data events

The proliferation of big data analytics solutions has significantly redefined businesses’ data processing over the years. It has already proven a key solution for identifying and deriving meaningful insights from vast datasets. With emerging technologies like artificial intelligence, machine learning and the cloud, data professionals are now leveraging cognitive analytics to drive real-time decision making. It presents much greater potential than big data analytics, unlocking the value of big data by making a system more self-reliant, and information contained more accessible.

Since data is considered the oil of today’s digital economy, data analytics is an indispensable economic driver. Over the years, it has evolved exponentially including from descriptive to diagnostic and predictive to prescriptive. Cognitive analytics is now likely to become the next frontier of this data analytics trend. It exploits high-performance computing power by integrating artificial intelligence and machine learning techniques with data analytics approaches.

#big data #latest news #how can cognitive analytics go beyond big data analytics? #analytics #cognitive analytics #cognitive computing