Data model is a way of organizing the logical structure of data storage in a database. There are three main types of data models which differ by the way of establishing links between the data.Read More
Data volumes are growing rapidly around the world, and in order to effectively use their immense potential, proper storage and management of information is required. One of the most effective ways to solve this problem is database consolidation. What is it and how to implement it correctly? In this article we’ll look at the ways database consolidation can benefit to you and how to implement it in practice. If you want to optimize your work with data, this article is for you!Read More
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Often, in the reviews of the database types, there is information about relational and “other” types, “NoSQL” etc. or the most basic types of DBMSs (databases), the rare ones are not mentioned t all. In this article we will try to describe all the types of the databases and give examples of the specific implementations. Of course, the article does not pretend to be all-embracing, databases can be classified in different ways, including types of optimal load, etc. Moreover, all the types of the databases will be described briefly. But we really hope that the article will give basic understanding of the DBMS types as well as of the principles of their operation.Read More
Looking to develop a robust Data Strategy? Check out our Data Strategy Cheat Sheet – your ultimate guide to harnessing the power of data!
📌 From defining objectives to measuring performance, this cheat sheet has got you covered!Read More
📌 From safeguarding sensitive information to fortifying your digital assets, this cheat sheet is your shield!Read More
📌 From designing modern architectures to optimizing data flow, this cheat sheet is your blueprint!Read More
I would like to present the check-list which will be extremely helpful in the following cases:
- There is a DBMS and it should be taken for the administration;
- You have to study a new DBMS as soon as possible, you have never worked with it but soon it will be used within your project;
- You possess a «zoo» containing a wide range of DBMSs and you should standardize an approach in order to work with all of them;
- It is necessary to audit a certain DBMS.
This article will be of a great interest not only for the DBA, but also for the people who are in charge of the DBMS support and maintenance, for example for the system administrators, DevOps and SRE.Read More
Uncovering market positions
Friends, today I invite you into the fascinating world of analytics, where we will use modern services to dive into a sea of data and uncover our bank’s position in the financial market. You will learn how internal indicators affect the share of the financial institution as a whole.Read More
In today’s data-driven financial world, banks are a prominent client sector where analytical reporting is in high demand. To better understand their needs, we look into the nature of the bank, its current condition, and its specific requirements.
Imagine a bank trying to improve its financial performance. To achieve this, it requires precise and insightful data that can only be obtained through analytical reporting.Read More
Cloud services are resources leased for computing and data storage. A cloud provider offers virtual machines, disks and resources for serverless computing and takes care of the whole range of technical activities for their deployment and support. As far as a Client is concerned, he or she gets not only a resource or a service but also an opportunity to make the scalability more efficient and to optimize the costs of hardware and software. This kind of services may be extremely useful for a great range of tasks but here we would like to single out storage and processing challenges.Read More
Harnessing the capabilities of Qlik’s business intelligence with Talend’s data integration and transformation.
In today’s data-driven world, organizations are incessantly looking for efficient ways to harness the power of data. With the ever-growing volumes and complexity of data, it becomes critical to have the right tools in place. Two giants in the realms of Business Intelligence (BI) and Extract, Transform, Load (ETL) technology are Qlik and Talend. In this article, we delve into the potential amalgamation of these powerful platforms and explore how their combined functionalities can revolutionize the data analytics landscape.Read More
Microsoft Power BI is a powerful data analysis and visualization tool that is widely used by businesses of all sizes. The PL-300 exam is designed to test the skills and knowledge of professionals who work with Power BI and are responsible for designing and building custom reports and dashboards.Read More
Exploring the Features and Design of ChatGPT and Google Bard: Choosing the Right Chatbot for Your Needs
Chatbots have become increasingly popular due to their ability to automate tasks and provide human-like interactions. Two prominent AI chatbots in the market are ChatGPT and Google Bard. Let’s explore the differences between the two and determine which one might be better suited for your needs.Read More
The role of a Chief Data Officer (CDO) is becoming increasingly important in today’s data-driven world. However, the decision to pursue a career as a CDO is not one to be taken lightly. It requires a strong foundation in technical skills, a deep understanding of business goals and objectives, and the ability to lead and manage a team. If you are passionate about data and are willing to put in the hard work and dedication required, then pursuing a career as a CDO may be the right choice for you. However, if you are not willing to invest the time and effort required to develop the necessary skills and build strong relationships with stakeholders, then it may be best to consider other career paths. Ultimately, the decision to be or not to be a CDO is a personal one that requires careful consideration of your skills, interests, and career goals.Read More
Machine learning has revolutionized the way we analyze data and make predictions. However, traditional machine learning methods require large amounts of data to be centralized in one place for analysis, which can raise privacy concerns and create challenges for companies that don’t have access to such data.
Federated learning is a solution to these challenges. It’s a distributed machine learning approach that allows data to remain on local devices, while still enabling models to be trained on the data. In this article, we’ll provide an overview of what federated learning is, how it works, and what it’s used for. We’ll also explain the benefits and limitations of federated learning compared to traditional machine learning methods.Read More
Qlik is a powerful data visualization tool that allows you to analyze and explore data in real-time. ChatGPT, on the other hand, is an AI-powered chatbot that can answer questions and provide insights based on your data. Together, Qlik and ChatGPT can be used to turn your data into a financial analyst, providing you with valuable insights and recommendations for your business.Read More
Great news from Qlik World 2023! Datamind is thrilled to be participating in the largest annual conference for Qlik enthusiasts, customers, and partners from all over the world. We’ve already had an incredible first day connecting with attendees and showcasing our comprehensive suite of Qlik developer resources.Read More
Qlik Sense is a powerful data visualization tool that allows you to create interactive dashboards and reports. A well-designed dashboard can help users quickly understand complex data and make informed decisions. In this article, we’ll discuss some best practices for designing dashboards with Qlik Sense.Read More
Qlik is a powerful business intelligence and data visualization tool that enables organizations to gain insights from their data. However, as the amount of data in Qlik applications grows, the performance of the application may suffer. In this article, we will provide a guide of performance and optimization best practices in Qlik, covering key areas such as data modeling, dashboard design, scripting, data load, and server configuration.Read More