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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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Are you familiar with Qlik and the OpenAI API? If not, let me tell you about my experience integrating them together. I used the REST API connector in the Qlik system to connect to the OpenAI engine and would like to share some insights from my tests. It’s important to note that there are two models to distinguish: GPT-3 (with API) and ChatGPT (no API available yet). The former is a deep learning neural network model with over 175 billion machine learning parameters, while the latter is a large language model developed based on the GPT-3.5 language model with several hundred million parameters.

Are you struggling to get users to provide feedback on your BI reports? Do you find yourself becoming defensive when users criticize your work? If so, you may be suffering from a cognitive bias that is all too common among BI analysts.

Several months ago, we embarked on an ambitious three-month project with a global pharmaceutical company to create a corporate style guide for Qlik Sense. While many people try to make their designs presentable in Qlik, nobody claims to be creating anything extraordinary. Tableau has set a high bar for beauty, and everyone seems to have come to terms with it. Therefore, the task was an invitation for us to step out of our comfort zone with Tableau and extract the most from Qlik Sense to create a design that would inspire us and suit our needs.