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The concept of storing large amounts of data for computing and gaining insights is a popular task that is followed for decades. There have been advancements in the field of storage devices as well as storage technologies that have helped enterprises. Enterprise in the past used on-premise data warehouses for storing, processing, and understanding data, but with the present scenario of an increasing influx of data combined with the fact that data can be preset…

Do you feel like your business is drowning in time-consuming, repetitive tasks? If so, it’s time to stop swimming upstream and find a solution. Business process automation tools are designed with this need in mind. They make it possible to speed up business workflow by eliminating mundane but necessary tasks—leaving your employees enough time and energy to focus on accomplishing the specialized tasks you hired them for. What follows is a list of the top…

We are living in an age characterized by massive amounts of data. With a smartphone now in virtually every pocket, a computer in nearly every home, and an ever-increasing number of Internet-connected products on the market, the quantity of consumer data flowing across the economy continues to grow at an alarming rate, according to the International Data Corporation. The study of this data is often beneficial to both businesses and customers, as it may aid…

Massive amounts of data – The title is self-explanatory. It is a massive amount of data that is collected and generated across organizations, social media, and other sources. Big data analytics is the process of analyzing and discovering patterns in large amounts of data. For insights, the speed, accuracy, variety, and amount of organizational data must all function together. The best practices for big data analytics must be understood by big data analytics companies. As…

Big data is not new now; everybody is related to the technical field or interested in new technologies. It might be organized, semi-organized, or unorganized, and it is possible to collect, exchange, and evaluate it. All of the information we generate is big data, be it texts, emails, Tweets, videos shared on social media. Information travels from digital devices to routers, servers, clouds, and back. Today, big data is used in various industries, including education, …

Many different tools are used in working with Big Data. Even for the same tasks, there are several technologies, each of which has its own characteristics and disadvantages. It can be difficult to sort out all this variety and choose something. To help with this, we will introduce one of the tools – Apache Spark . You will learn what it is, how it is used when working with big data, and how it can help. We will also compare it…

What is a data analyst? “And it is possible to build relationships with your dog by collecting information about her behavior.” It is the data analyst who sees the hidden patterns and answers the most important business questions: “Is it possible to give a person a loan?”, “What color button works best?”, “Where to open a new shawarma tent?” And not only. We will tell you the main things about the areas of application, salaries, skills and…

Now everyone is talking about the benefits of big data. As a result, the business tries to work with large-scale databases, but faces a problem – all data is heterogeneous and unstructured, and it takes a long time to process it before loading it into the database. As a result, working with big data turns out to be too complicated and expensive, and some of the data is lost, although it could be useful in the future.…

How machine learning worksNeural network as a sub-sector of machine learningReasons for choosing Python for programming neural networks  A neural network in Python is written for a number of good reasons: the brevity of the programming language, a low entry threshold (you don’t need to study the nuances of the code for years), a huge number of plug-in libraries, and much more. Nobody forbids writing in other languages, but it will be longer, more difficult,…

We often talk about how the field of data analysis and machine learning is constantly evolving. To succeed, you need to keep up with new trends. Tableau Software has published a list of 10 global trends in business intelligence for 2022. What awaits us? 1. Interpretable Artificial Intelligence Companies understand the value of artificial intelligence and machine learning, but require openness and transparency. People want to be sure they can rely on AI findings. They…