How can I connect NLSQL to the on-premise database?
My company is using both on-premise and cloud services like Microsoft Teams and Azure. How can I connect NLSQL to the on-premise database?
Your on-premise database is located in your private on-premise network, so NLSQL App on Azure can connect to it via Virtual Network Integration, IPsec or Hybrid Connection
It is possible through the Azure marketplace, as NLSQL offers virtual network integration from Azure to on-premise networks.
Jake Zborowski, General Manager, Microsoft Azure Platform at Microsoft Corp. said, “We’re pleased to welcome NLSQL to the Microsoft Azure Marketplace, which gives our partners great exposure to cloud customers around the globe. Azure Marketplace offers world-class quality experiences from global trusted partners with solutions tested to work seamlessly with Azure.”
The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners ...
NLSQL better fits for Data Lake or Data Warehouse?
NLSQL perfectly fits on TOP of any data lake within your corporate data infrastructure, we support most of the data connectors and can significantly
increase usage of your data from the existing data lakes for making better business decisions by managers.
The evolution of data analytics provides managers with an endless number of dashboards with a significant increase in available data. For non-technical employees, it might be even more confusing as a result of a lower understanding variety of data in dashboards. However, NLSQL provides non-technical employees the ability to ask their questions directly to data and get back with calculated responses.
To gain insights from data, it has to be processed in a timely manner and put into a form that will be useful for managers mindset.
Empowered business decisions drive businesses forwards faster.
Does NLSQL support database queries caching?
There are various benefits to caching. You can speed up slow queries and reduce the demand on your database server's memory and CPU same time. Most of the modern database engines support database query caching, or you can do your own in-memory or cache with Redis.
NLSQL relies on database engine query caching capabilities and SQL query speed optimisation. NLSQL brings to our end-users the best in class in memory calculation speed.
NLSQL is a Microsoft Teams App that empowers employees with instant access to prescriptive analytics, that provides decision-makers with sufficient information such as sales history, real-time payments statistics, price, EBITDA, or cost of production at any level to clearly determine the best course of action.
With NLSQL Teams App can drill down into data with their questions to find out the root causes and gain new insights about any problem before making decisions.
What is difference between Azure Cognitive Search and NLSQL?
Azure Cognitive Search is an AI search for unstructured data such as files, pictures and CSV based on the file's content.
Azure Cognitive Search, which enriches all forms of unstructured data with an index to make it easier to find and explore pertinent content at scale. Use cognitive abilities for speech, language, and vision, or create personalised machine learning models to find a file.
NLSQL is a B2B SaaS for asking BI analytics calculations with generated SQL queries on top of structured databases using only Natural Language questions. NLSQL uses cutting-edge machine learning methodologies to comprehend user intent and calculate structured data for the most pertinent analytics results. Spend more time developing new ideas and less time keeping a complicated data analysis up to date.
8 Tips for Identifying Business Market Growth Potential
We'll go through eight strategies to spot market growth prospects in this post. To accomplish so, you must first grasp the business orientation of your organization and then conduct market research. Consumer requirements and other considerations, such as brand value propositions, must all be considered while evaluating the business strategy.
1. Segmentation of customers
You must first establish consumer categories with similar features in order to understand your demand. Age, gender, location of residence, educational level, occupation, and income level are examples of "hard" factors, whereas lifestyle, attitude, values, and purchase impulses are examples of "soft" variables.
Hard factors might aid in the estimation of a company's prospective consumer base. Price, prestige, convenience, durability, and design are examples of soft factors that might assist in identifying purchase reasons.
2. Evaluation of the purchase scenario
Sales analysis may assist you in better understanding how customers buy and positioning your goods and ...