Posts in category

Big Data


Predicting the future is hard and risky. Predicting the future in the computing industry is even harder and riskier due to dramatic changes in technology and limitless challenges to innovation. Only a small fraction of innovations truly disrupt the state of the art. Some are not practical or cost-effective, some are ahead of their time, …

Python is already one of the essential languages ​​in the programming world. However, lately, we have seen that technology is invading other areas as well. One of the main applications is artificial intelligence which means that companies are already learning to adopt the language to make better decisions and achieve results aligned with business goals. …

The business impact companies are making with big data analytics is driving investment in digital transformation across the board. Faced with multiple waves of disruption in a COVID-19 world, almost 92% of companies are reporting plans to spend the same or more on data/AI projects, according to a recent survey from NewVantage Partners. Small wonder. Data mature companies are …

We have all heard the adage “Data is the new oil” in the 21st century. Every business needs to collect, manage, integrate, and analyze the data collected from various sources. Without studying the data properly, no business can earn huge revenues. To churn out the full potential of data, online media offers several data integration …

Over the next decade or so, we’ll see an incredible transformation in how companies collect, process, transform and use data. Though it’s tired to trot out Marc Andreessen’s “software will eat the world” quote, I have always believed in the corollary: “Software practices will eat the business.” This is starting with data practices. To understand …

You’ve probably seen an abundance of targeted ads as you browse the internet and social media. Have you ever visited a site once, only to find ads for that same product advertised across every platform you use? Did you mention a product in a conversation and find that you were served an ad for it …

Humankind has been storing data for millions of years, as wall paintings, in books and more recently in super-sized data centers. Technological advancements have increased our ability to create and store data. Each day on Earth we generate 500 million tweets, 294 billion emails and 4 million gigabytes of Facebook data. Around 150 years from …

Let’s start with an obvious example(example 1): 1. Virus A has an average fatality rate of 10%(1 death per 10 infections on average) 2. Virus B has an average fatality rate of 1%(1 death per 100 infections on average) Which virus is more dangerous towards the majority? If you think that the answer must be …

SQL is great, but sometimes you may need something else. By and large, the prevalent type of data that data engineers deal with on a regular basis is relational. Tables in a data warehouse, transactional data in Online Transactional Processing (OLTP) databases — they can all be queried and accessed using SQL. But does it mean that …

2020 showed us the world can change suddenly, affecting all areas: the QA industry is no exception. Let’s talk today about the testing trends for 2021! Security systems Security has become a key goal. We use the software a lot and become more vulnerable to cyberattacks, so careful security testing at every development stage is …