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The latest mobile applications are covering a wide spectrum of prerequisite services. It helps in communicating and learning about the world. Besides this, it offers a helping hand to seek knowledge and have immersive fun. There are different mobile applications that are different from the desktop counterparts. Mobile testing is essential to assess the performance of the product. There are primarily two different kinds of testing, which take place on mobile devices. They are inclusive…

To paint a picture of how developers handle real-world data volume and velocity, we gathered insights from over 400 developers. The results are summarized below! In last year’s DZone Guide to Big Data Processing, we collected survey data from our advanced developer audience to gather insights on how large datasets get, how many messages get processed per second, and how many nodes developers let their data processing clusters contain. We amalgamated all of this information into…

Forget about viewing it as data science vs. data analytics. Instead, we should see them as parts of a whole that are vital to understanding how to better analyze and review data. Big data has become a major component in the tech world today thanks to the actionable insights and results businesses can glean. However, the creation of such large datasets also requires understanding and having the proper tools on hand to parse through them…

Deciphering the “nuts-and-bolts” of individual customer journeys (and deducing intent) is core to improving customer experience and driving brand loyalty. Fortune 500 companies are making large investments around Programmatic Marketing (“Marketing that learns”). One of most often implemented use case in Programmatic Marketing is customer journey mapping and analytics. Why? Because, deciphering the nuts-and-bolts” of individual customer journeys (and deducing intent) is core to improving customer experience and driving brand loyalty. Specifically, the objectives are: Visualize and map the end-to-end customer journey by personasOptimizing…

A Small Real-World Project for Learning Three Invaluable Data Science Skills As with most interesting projects, this one started with a simple question asked half-seriously: how much tuition do I pay for five minutes of my college president’s time? After a chance pleasant discussion with the president of my school (CWRU), I wondered just how much my conversation had cost me. My search led to this article, which along with my president’s salary, had this table…

The sunk-cost fallacy is one of many harmful cognitive biases to which humans fall prey. It refers to our tendency to continue to devote time and resources to a lost cause because we have already spent — sunk — so much time in the pursuit. The sunk-cost fallacy applies to staying in bad jobs longer than we should, slaving away at a project even when it’s clear it won’t work, and yes, continuing to use a tedious, outdated plotting…

Businesses building a new solution in the cloud must make a number of decisions before they can begin — serverless or containerized, hybrid or completely cloud-based. Meanwhile, teams migrating to the cloud must weigh a different set of considerations. How should legacy code be handled? How much redevelopment is needed? How do the existing assets and data sources impact the type of cloud implementation selected? Explore 4 key steps, tactics to choose a provider and the phased…

While we say data lake vs. data warehouse, these two technologies are actually quite complimentary. Read on to see why. Data lakes and data warehouses are critical technologies for business analysis, but the differences between the two can be confusing. How are they different? Is one more stable than the other? Which one is going to help your business the most? This article seeks to demystify these two systems for handling your data. What Is…

In this second post out of a four post series, discover how to build a data warehouse by reading the 5 steps listed below. Over this series of four posts, I explore the keys to a successful data warehouse. Last time, I started with design—a reasonable place to begin! The topic of this post is, build, with operation and maintenance to follow. Even with a beautiful design model in your mind’s eye, the question of how…

One item addressed by the twelve-factor app method is the automation of administrative processes, such as script execution and data migration. This is exactly what I will talk about in this post: how we automate the migration of data using Go and MongoDB. In Code: Nation, we chose Go as the main programming language for product development. Thanks to this choice, and the adoption of Clean Architecture, we could quickly create APIs, lambda functions , command line apps (CLI), bots , etc. And we…