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Using Google Analytics: Universal Analytics Enhanced Ecommerce to Analyze User Interactions

Using traditional e-commerce data analysis tools, we can only analyze the order sales data of products, and cannot have a global understanding of product conversion. Google Analytics: Universal Analytics Enhanced e-commerce provides great convenience for developers to understand customer behavior and sales results, thus exploring many new opportunities.

With the enhanced e-commerce function, developers can easily track user interactions with your product during their shopping journey. Such interactions include product displays, product clicks, viewing product details, adding the product to the shopping cart, checking out, transactions, and refunds.

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The Top 4 Benefits of Embedded Analytics

You have probably heard about embedded analytics and the booming demand for business intelligence insights that are derived from it. But what exactly is embedded analytics?

Embedded analytics brings real-time, interactive data visualizations, and business intelligence capabilities directly into commercial applications – creating contextual data that improves the usability of data for business users.

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Data Platform as a Service

Introduction

It's been a few months since I was thinking about writing "What's a New Enterprise Data Platform?" In the last few years, I've been working as a Data Solution Architect and Product Owner for a new data platform; I've learned a lot and I would like to share my experiences with the community.

I'm not going to write about the Data-Driven approach, but how to build a platform that allows a company to implement it. When we design and build a Data Platform, we are working on providing the capacities and tools that others teams need to develop their projects. I am not forgetting the data but I think the data should be a service, not a product. 

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What Mac App Developers Can Expect In 2021

Every year since 2016, when I started working on Setapp — a platform now offering over 200 top Mac apps in a single subscription — we’ve conducted a comprehensive survey of Mac developers around the world to improve market perception and monitor emerging trends.

The Mac Developers Survey of 2020 continued this tradition, with a few adjustments to get at the unique ways such an unprecedented year affected the community. 

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RTF Log Forwarding Approaches to Graylog

Agenda 

  • Introduction.
  • MuleSoft RTF Platform.
  • About Graylog.
  • Runtime Fabric Log Forwarding Approaches To Graylog.

Introduction

  • RTF controls Mule runtimes in K8s executed docker containers called pods, all packaged with Gravity (Kubernetes cluster and all its applications into a single file called a "Cluster Image") for the expertise of installation and portability. 
  • A basic condition is to find a way to promote the Mule application logs to 3rd party logging platforms like Graylog to maintain the logs between redeployment or in the event of crashes.
  • Out of the box RTF log forwarding.
  • Third-party agent polling.
  • Hybrid (Unified way of logging where the customer is using both CloudHub as well as RTF).

MuleSoft RTF Platform

automated runtime

  • Anypoint platform is the main offering that has 2 main components. Management plane, and runtime plane. While creating individual containers while deploying the application in RTF, it keeps runtime independent from others and the same follows for continuous deployments.
  • As it builds an independent runtime container for each application which makes it to handle multi runtime version deployment. 
  • And discussing resource scaling, it supports both horizontal and vertical scaling by simple configuration or easier command to add more resources to existing infrastructure with zero downtime.
  • With its health monitoring and configuration persistence behavior, it adheres to escape from application failover. For instance, if any runtime goes out of service then it replicates another runtime instance to avoid platform failover.

About Graylog

Once messages are being received, it can be poked around and explore a bit. There are several pages available, though not all pages may be visible to all users, depending on individual permissions. The following are a few brief descriptions of each page’s purpose and function.

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Data Democratization and How to Get Started?

Today 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. It is essential for companies to help maintain a competitive edge so that they can help reduce costs and grow profitable sectors that they have disappeared from.
Data comes in large volumes everywhere and in complex structures. It became complicated to understand. Being able to understand data is the preserve of longtime, highly paid data scientists and analysts. The idea of helping everyone to access and understand data is known as data democratization.

In this blog, we have introduced the features of data democratization that a business can adopt to overcome these challenges and establish an enterprise-wide data democracy.