Today, users are increasingly demanding and attentive to the UI and UX of an application. This is mainly due to so much competition on the market as the user knows exactly how far technology can go today.
For this reason, it is important to offer the user not only an application that is functional to the purposes for which it was designed, but that the latter is also captivating to the user’s eye.
Therefore, the first business card that a site or application offers is the access screen and the way in which it loads the necessary data.
We are talking about splash screens: an easy way to distract the user with any application logo, useful information before using the app, or simply a loading screen that can make him understand that the app is loading his data and is not blocked.
Today’s goal is to create a splash screen shown to the user until the data is ready and usable for our homepage
Before starting it would be useful to know a few things:
Creating projects, generating application and library code, performing tasks such as testing, building and deployment depends on Angular CLI.
To install the Angular CLI, open the terminal and run the following command:
npm install -g @angular/cli
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition
The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.
This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.
As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).
This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.
#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management
Using data to inform decisions is essential to product management, or anything really. And thankfully, we aren’t short of it. Any online application generates an abundance of data and it’s up to us to collect it and then make sense of it.
Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories. If it wasn’t already, data literacy is as much a fundamental skill as learning to read or write. Or it certainly will be.
Nothing is more powerful than data democracy, where anyone in your organization can regularly make decisions informed with data. As part of enabling this, we need to be able to visualize data in a way that brings it to life and makes it more accessible. I’ve recently been learning how to do this and wanted to share some of the cool ways you can do this in Google Data Studio.
#google-data-studio #blending-data #dashboard #data-visualization #creating-visualizations #how-to-visualize-data #data-analysis #data-visualisation
Splash Screen help Brand to get Noticed Or Brand Awareness so Today I am going to show how to create Splash screen in a flutter
Splash Screen Animation can be a Simple Logo Animation of your Brand. this Splashscreen animation can be done with the help of the splashscreen package.
💻Splash Screen:- https://alltechsavvy.com/splash-screen-in-flutter-app/
👩💻Github Code: https://github.com/sagarshende23/flutter_splashscreen_example
👉👉👉Visit At:- https://alltechsavvy.com/👈👈👈
⚡⚡Best Flutter Development Tools⚡⚡
🔥Github Profile: https://github.com/sagarshende23
#splash screen in flutter #flutter splash screen #flutter splash screen example #flutter
The COVID-19 pandemic disrupted supply chains and brought economies around the world to a standstill. In turn, businesses need access to accurate, timely data more than ever before. As a result, the demand for data analytics is skyrocketing as businesses try to navigate an uncertain future. However, the sudden surge in demand comes with its own set of challenges.
Here is how the COVID-19 pandemic is affecting the data industry and how enterprises can prepare for the data challenges to come in 2021 and beyond.
#big data #data #data analysis #data security #data integration #etl #data warehouse #data breach #elt