Data science has become a widely used term and a buzzword as well. It is a broad field representing a combination of multiple disciplines. However, there are adjacent areas that deserve proper attention and should not be confused with data science.…

The gaming industry is on its rise nowadays. With more than 2 billion players all over the world gaming industry is a resource of enormous revenues and…

Kafka monitoring is an important and widespread operation which is used for the optimization of the Kafka deployment. This process may be smooth and efficient for you by applying one of the existing monitoring solutions instead of building your own. Let’s say, we use solution with Apache Kafka for message transfer and…

Grafana is an open-source, nightly built dashboarding, analytics, and monitoring platform that is tinkered for connection with a variety of sources like Elasticsearch, Influxdb, Graphite, Prometheus, AWS Cloud Watch, and many others.

One of the biggest highlights of Grafana…

The manufacturing business faces huge transformations nowadays. Due to rapid development of digital world and broad application of data science, various fields of human activity seek improvement. Modern manufacturing is often referred to as industry 4.0 that is the manufacturing under conditions of the fourth industrial…

The chart is a visual representation of data in a clear and simple manner. This type of visualization is often used to increase the level of comprehension, especially in cases of patterns, trends, and interconnections. Building chart is an integral part of data analysis. It helps to decide how to analyze data, how it is…

Data science has brought new marvelous opportunities to many industries. Along with these possibilities it has also brought constant changes and challenges. Travel and tourism industry is no exception here.…

Majority of modern companies deal with processes which they want to be automated. This need can be caused by various reasons, in particular, due to the routine, repetitive and boring nature of manual processes. Another shortcoming is that such processes often require a lot of time and human resources; additionally, office…

In the course of time, data science has proved its high value and efficiency. Data scientists find more and more new ways to implement big data solutions in daily life. Nowadays data is a fuel needed for a successful company.

Telecommunication companies are not an exception. Due to these…

First days after the celebration of the New Year is the time when looking back we can analyze our actions, promises and draw conclusions whether our predictions and expectations came true. As 2018 came to its end, it is perfect time to analyze it and to set trends for the next year. The amount of data generated every minute…

Tableau is an innovative system of business intelligence enterprise-class, which can be used in both conventional and complex investigations: from visualization of questions and answers to complex data analysis (trends, correlations, and statistics). The convenience of the system is that it recognizes the data in any format,…

Measuring the similarity between texts is a common task in many applications. It is useful in classic NLP fields like search, as well as in such far from NLP areas as medicine and genetics. There are many different approaches of how to compare two texts (strings of characters). Each has its own advantages and disadvantages and is good only…

Big players in the media and entertainment market every day face new challenges of the digital reality. The customers tend to search for the service that may be available at any time and any place regardless of the circumstances. This sphere becomes more and more competitive every day.…

Google Data Studio is a new data visualization tool allowing you to transform your clear and dry data into visually appealing and understandable reports and to be shared then with your colleagues and clients. Using the bar graphs, geographical maps, charts, line charts, etc. you can represent your data and - the most…

Speech processing is a very popular area of machine learning. There is a significant demand in transforming human speech into text and text into speech. It is especially important regarding the development of self-services in different places: shops, transport, hotels, etc. Machines replace more and more human labor…

As is known and seen from the series of blog posts, Apache Spark is a powerful tool with many useful libraries (like MLlib and GraphX) which deals with big data. Sometimes you have to work with…

Before we start, what is Power BI in the first place? As stated on its website: “Power BI is a suite of business analytics tools that deliver insights throughout your organization.”

It is, by all means, no exhaustive…

Data science has become an integral part of many modern projects and businesses, with an increasing number of decisions now based on data analysis. The data science industry is experiencing an acute …

Data analysis can bring a competitive advantage to your business, assisting in a better understanding of the product, customers, and competitors. An integral part of data analysis is data visualization. It can provide valuable information and help with its comprehension and…

The release of Hadoop 3 in December 2017 marked the beginning of a new era for data science. The Hadoop framework is at the core of the entire Hadoop ecosystem, and various other libraries strongly depend on it.

In this article, we…