A few years ago in data science, most job openings required a PhD or at least a master’s degree in mathematics, statistics, or a similar subject as a primary criterion. Everything has changed in the last couple of years. There has been widespread development of machine learning libraries that abstract away the complex nature of algorithms, as well as the realization that the practical application of machine learning to solve business problems requires a set of skills…
A data lake is an element of the Big Data infrastructure, a repository of a large amount of unstructured data generated or collected by a single company or government agency. Data in lakes is stored, as a rule, in an unsystematized form. Simply put, these are the data that “it’s a pity to throw away, and there’s nowhere to put it on.” Companies create data lakes for several reasons, including: the need to have all the materials…
The concepts of Data Lake and Process Data Storage (PIMS, Historian) are often perceived as synonymous and even confused by professionals. The reason for this is their purpose: collecting and storing data. However, this is the only thing they have in common. In fact, there is a significant difference between these two systems, ranging from architecture to the tasks for which they are built. Three key differences between a process data warehouse and a data lake are: data…
It’s easy to think that if you just knew the statistics better, data analysis wouldn’t be as difficult. It is true that more statistical knowledge is always useful. But I found that statistical knowledge is only part of the problem. Another key part is developing data analysis skills. These skills are applicable to all types of analysis. It doesn’t matter what statistical method or software you use. So even if you never need more statistical sophisticated analysis than a…
Data Warehouse VS Data Lake Data Warehouse (DWH) is a convenient solution for enterprises and organizations, the principles of which we decided to cover in our today’s article. Based on our own experience in building data warehouses for financial institutions, we will also try to present all the benefits of using DWH as clearly as possible, as well as compare it with its “competitor” – cloud storage. The data warehouse is a subject-oriented information database that is…
This article explains how to visualize information and make complex data understandable. We work a lot with information and Big Data and we believe that half of the success (if not most of it) in data visualization is their beauty. How to understand when what type of chart to use and whether it is necessary to visualize this data at all? In this article, we share our own experience, repeatedly tested “in battle”. Key Benefits of Visualization…
Modern companies use not only programming to keep up with the times. It is hard to imagine, but in fact, marketing and its foundations also play an important role in the development of information technology. A striking example of this is BigData. But there is another area that has received a lot of attention lately. We are talking about the so-called Data Driven Marketing. This direction will be discussed in the article. The information will be equally useful for both…
Data volumes are increasing at an accelerated pace every year. The number of streaming data has increased significantly, and unstructured data is increasingly eclipsing its structured counterparts. As a result, a business that works with large databases has to process information before loading, which requires a lot of time and effort. But all the same, in the end, some of the information is lost, but or could be useful in the future. And an innovative product is called upon…
The ability to work with data is a valuable skill that opens up the prospect of becoming a super-demanded and highly paid specialist for its owner. It tells where to study and how to become a data analyst that employers will fight for. The secret of the popularity of the profession The profession of data analyst was relevant and in demand until 2020, but the pandemic gave it a new impetus. Everyone saw that data can…
Big Data is a modern term that refers to a large amount of structured and unstructured information that floods the business sphere every day. But the volume of this information is not the most important thing, how organizations interact with it is much more important. This data is analyzed and used to make decisions, as well as to build strategies for the development and strengthening of companies. HISTORY OF BIG DATA The term “big data” refers to data…
