Sidney  Purdy

Sidney Purdy

1594915383

The Unidirectional Data Flow and Time Traveling of States in iOS

These days, I’ve been working on a feature like implementing sign up form detail pages which I don’t want to write into database until the flow is complete. Yet I use MVVM pattern for my project which of course is a quite simple and clean architecture, accumulating intermediate state like this leads to singleton abuse and other problems.

These arise from multiple copies of the state and if you allow your app to navigate back-and-forth, then you have to make sure that the latest state in the latest view controller is available in other view controllers as well. Maintaining the state across all of your controllers that are involved through delegation or callbacks becomes messy. I suppose that kind of problem is quite common among iOS developers.

Image for post

In this case, I chose to integrate Unidirectional Data Flow (Redux) approach with MVVM in my implementation. In the post, I try to explain** work flow of unidirectional data **flow(redux) and **how we can use it for time traveling of state in our app. **Woo hoo! Let’s start… .

Unidirectional data flow_ is an essential feature for working with the web-based applications._

The reason data flows from top to bottom is that change detection strategies are also always performed from top to bottom for every single component, every single time, starting from the root component. This is awesome, as unidirectional data flow is more predictable than cycles.

So What is Redux and how does it work?

Redux is an alternative or a variation of the flux framework that was developed at Facebook, and that Facebook now uses for most of their web applications. The main idea is that information always only flows in one single direction.

Image for post

The unidirectional data flow of redux

Let’s break down a bit what each component does for our implementation, shall we…

  • Views: Subscribe to Store changes and display them on screen. Views send Actions.
  • Actions: Actions don’t contain any code and are small pieces of data that describe a state change. An Action is manipulated by a Reducer.
  • Reducers: Provide pure functions that based on the current action and the current app state, and return a new app state.
  • Store: Stores the current value of the application state. Other modules like Views can subscribe and react to its changes.

In this article, I’ll use Reswift to implement unidirectional data flow. Reswift is a framework that helps you create Redux-like architecture in swift.

#redux #unidirectional-data-flow #ios-app-development #reswift #ios

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The Unidirectional Data Flow and Time Traveling of States in iOS
Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

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

Sidney  Purdy

Sidney Purdy

1594915383

The Unidirectional Data Flow and Time Traveling of States in iOS

These days, I’ve been working on a feature like implementing sign up form detail pages which I don’t want to write into database until the flow is complete. Yet I use MVVM pattern for my project which of course is a quite simple and clean architecture, accumulating intermediate state like this leads to singleton abuse and other problems.

These arise from multiple copies of the state and if you allow your app to navigate back-and-forth, then you have to make sure that the latest state in the latest view controller is available in other view controllers as well. Maintaining the state across all of your controllers that are involved through delegation or callbacks becomes messy. I suppose that kind of problem is quite common among iOS developers.

Image for post

In this case, I chose to integrate Unidirectional Data Flow (Redux) approach with MVVM in my implementation. In the post, I try to explain** work flow of unidirectional data **flow(redux) and **how we can use it for time traveling of state in our app. **Woo hoo! Let’s start… .

Unidirectional data flow_ is an essential feature for working with the web-based applications._

The reason data flows from top to bottom is that change detection strategies are also always performed from top to bottom for every single component, every single time, starting from the root component. This is awesome, as unidirectional data flow is more predictable than cycles.

So What is Redux and how does it work?

Redux is an alternative or a variation of the flux framework that was developed at Facebook, and that Facebook now uses for most of their web applications. The main idea is that information always only flows in one single direction.

Image for post

The unidirectional data flow of redux

Let’s break down a bit what each component does for our implementation, shall we…

  • Views: Subscribe to Store changes and display them on screen. Views send Actions.
  • Actions: Actions don’t contain any code and are small pieces of data that describe a state change. An Action is manipulated by a Reducer.
  • Reducers: Provide pure functions that based on the current action and the current app state, and return a new app state.
  • Store: Stores the current value of the application state. Other modules like Views can subscribe and react to its changes.

In this article, I’ll use Reswift to implement unidirectional data flow. Reswift is a framework that helps you create Redux-like architecture in swift.

#redux #unidirectional-data-flow #ios-app-development #reswift #ios

Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

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.

Introduction

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

Ian  Robinson

Ian Robinson

1621644000

4 Real-Time Data Analytics Predictions for 2021

Data management, analytics, data science, and real-time systems will converge this year enabling new automated and self-learning solutions for real-time business operations.

The global pandemic of 2020 has upended social behaviors and business operations. Working from home is the new normal for many, and technology has accelerated and opened new lines of business. Retail and travel have been hit hard, and tech-savvy companies are reinventing e-commerce and in-store channels to survive and thrive. In biotech, pharma, and healthcare, analytics command centers have become the center of operations, much like network operation centers in transport and logistics during pre-COVID times.

While data management and analytics have been critical to strategy and growth over the last decade, COVID-19 has propelled these functions into the center of business operations. Data science and analytics have become a focal point for business leaders to make critical decisions like how to adapt business in this new order of supply and demand and forecast what lies ahead.

In the next year, I anticipate a convergence of data, analytics, integration, and DevOps to create an environment for rapid development of AI-infused applications to address business challenges and opportunities. We will see a proliferation of API-led microservices developer environments for real-time data integration, and the emergence of data hubs as a bridge between at-rest and in-motion data assets, and event-enabled analytics with deeper collaboration between data scientists, DevOps, and ModelOps developers. From this, an ML engineer persona will emerge.

#analytics #artificial intelligence technologies #big data #big data analysis tools #from our experts #machine learning #real-time decisions #real-time analytics #real-time data #real-time data analytics

Cyrus  Kreiger

Cyrus Kreiger

1618039260

How Has COVID-19 Impacted Data Science?

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