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Low-Code/No-Code: A Beginner’s Guide to Rapid Application Development

  In the fast-paced, digitized world of the 21st century, the demand for agile and efficient solutions is skyrocketing. Enter the dynamic duo of Low-Code and No-Code development – tools that are reshaping the landscape of application development and offering a fresh approach to digital transformation. These revolutionary technologies are not only making app development accessible to the layperson but are also breaking down barriers, democratizing innovation, and fueling creativity across industries. From small businesses to the education sector, from data analysis to the gig economy, and even in contributing to environmental sustainability – the impact of Low-Code/No-Code is profound and far-reaching. This comprehensive guide will take you on a fascinating journey exploring the ins and outs of Low-Code/No-Code development, its benefits, its future, and its broader implications in our digital society. Understanding the Low-Code/No-Code Phenomenon “Low-Code/No Code development” refer...
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Data Lake vs. Data Warehouse: Choosing the Right Solution

  data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. The data lake architecture stores data in its raw, natural format until it’s needed. Think of a data lake as a vast pool of raw data, untouched and unstructured, waiting to be processed. Data Lake vs. Data Warehouse: Choosing the Right Solution
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Effective Business Intelligence Strategy Guide

  Every business strategy and decision pivots on data. With data, a business can remain relevant and make effective decisions. Yes. Data is a priceless asset today. Yes. Data is a priceless asset today. But you need a business intelligence (BI) strategy that helps you leverage data optimally and maximizes its value. If you are looking to build a BI strategy for your business, this quick guide can help. Guide will help you navigate the steps involved in developing an effective and promising business intelligence strategy. So, let’s get going! What is a Business Intelligence Strategy? A business intelligence (BI) strategy is a comprehensive plan or a blueprint that determines how you will use data for your business. As stated earlier, since data is critical to every company’s success, the BI strategy revolving around it and driving its use becomes equally crucial. Thus, building a BI strategy is more than just choosing the right technology and implementing software. That’s because BI...
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Differences Between Kotlin vs. React Native

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 Kotlin and React Native are widely used within the mobile application development space. While one is a programming language, the latter is a framework and tool. Both have established their foothold and proven their worth. However, both are different. As an entrepreneur, you must know the differences to make a contextually relevant choice. So, let’s compare Kotlin and React Native to make an informed choice. What is Kotlin, and What is React Native? Kotlin is a programming language that runs on the Java virtual machine. You can compile it to JavaScript source code or use the LLVM compiler infrastructure. The programming language got endorsed by Google as Android Studio’s official language and gained fame. Some popular companies using Kotlin include Coursera, Corda, Spring, and Atlassian. On the other hand, React Native is a JavaScript framework. Facebook developed React Native to write real, native mobile applications for Android and iOS and reuse them across the web and mobile ap...
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Application of Big Data Analytics | Datafortune

  In today’s era where all the aspects of our lives are digitally influenced, there is an enormous amount of data generated from different gadgets and applications. As per a  Techjury Report , Google gets over 3.5 billion searches daily, which are around 40,000 search queries per second. Experts have predicted that this scenario will transform into a great wave of data as  2.5 quintillion bytes  of data each day will toll to  149 zettabytes of global data by 2049 . This huge amount of large and complex unprocessed information is known as Big Data. Though seemingly voluminous and holding not so much significance in unstructured form, when accurately processed, the analytics can yield priceless insights into the consumer behaviour, preferences and what they are desirous of.   The importance of big data can be inferred from the timeless statement of management expert,  Geoffrey Moore,  who remarked, “Without big data analytics, companies are blind an...
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