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How to Make High Availability Web Applications on Amazon Web Services
An average software developer takes more than 13 hours to fix a single source error in an application. Imagine what it would be like if your software or app broke
Shifting Gears From Data Science to Data Engineering
In today’s tech-driven world, data is the new oil. It powers decision-making, fuels innovation, and drives businesses forward. While data scientists have gained significant attention over the years for their
The Importance of Digital Marketing in Todays Business Landscape
In an era characterized by rapid technological advancements and an increasingly digitalized world, the importance of digital marketing has never been more evident. As businesses strive to stay competitive and
How Will Robotic Process Automation Affect Outsourcing?
Do you believe that traditional ways of Business Process Outsourcing (BPO) have been sent to their graves? Perhaps, this could be true. As per the latest Harvey Nash reports, nearly
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Big Data: What it is and why it matters?
Did you know? 97.2 business organizations worldwide are investing heavily in AI and big data. In fact, the big data market is estimated to be valued at $103 billion by 2023. What exactly do you understand by data? Data can
Data Engineer vs Data Scientist Decoding the Career Path Conundrum
Introduction In today’s technology-driven world, the demand for data professionals is skyrocketing. Among the most sought-after roles are data engineers and data scientists. But what do these titles mean, and how do you decide which path to pursue? For aspiring
Which Branch of Inventateq is Good?
Inventateq has established itself as a leading provider of professional training and certification courses in India. With multiple branches across various locations, Inventateq ensures that every student receives top-notch education and job assistance regardless of the branch they choose. In
Navigating Your Path to Becoming a Data Engineer with the Right Master’s Program
Introduction In our rapidly evolving digital world, data is the fuel that drives innovation and decision-making. Behind this data revolution are data engineers—professionals responsible for designing, building, and maintaining the systems that collect, store, and analyze data. But how does
Software Engineering vs Data Science Which Career Path Should You Choose?
In today’s fast-paced, tech-driven world, choosing the right career path can be daunting. For those interested in technology, the decision often boils down to two popular fields—Software Engineering and Data Science. Both offer exciting opportunities, lucrative salaries, and the chance
How to Create an SEO-Boosting XML Sitemap in 20 Minutes (or Less)
As the web evolves, Google and SEO evolves too! In that case, You, I and everyone in the digital space aims for quick, easy and no flux SEO. But do you know that you can boost your SEO with minimal
Data Analysts vs Data Scientists What Sets Them Apart and Why It Matters
In the rapidly evolving tech landscape, two roles have emerged as pivotal to managing, interpreting, and utilizing data effectively—data analysts and data scientists. While these positions often overlap in terms of skill sets and purpose, each plays a unique role
How you can learn data science better?
Learning data science can be a transformative journey, opening up a wealth of opportunities in various industries. Whether you are a beginner or looking to enhance your skills, finding the right resources and guidance is crucial. One of the top
From Beginner to Data Scientist: Navigating the Path of Data Science Training
Data science integrates several disciplines, including statistics, mathematics, computer science, and domain knowledge, to derive insights and make wise judgments from data. Therefore, it has become the hottest job in 2023, and youth are crazy to get into this field
Role of AutoML in Assisting Model Development
Many AutoML solutions use popular features that are common with modernized technology deployments, such as using a single unified interface for building and deploying AI models. AutoML helps organizations better manage model deployment, helping data science professionals and developers experiment
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