SQL Server 2017

Website

microsoft.com

Categories

#Business Intelligence #Data Dashboard #Data Visualization #Analytics Dashboard

Sensa

Website

sensanetworks.com

Categories

#Data Dashboard #Business Intelligence #A/B Testing #Data Visualization

SQL Server 2017 features and specs

• Cross-Platform Support
  SQL Server 2017 offers cross-platform support, enabling it to run on Windows, Linux, and Docker containers, providing flexibility and integration into various environments.
• Graph Database Capabilities
  Introduces graph database capabilities, allowing the modeling of complex data relationships easily and efficiently, expanding its use cases.
• Advanced Analytics
  Integrates with Microsoft R and Python services, facilitating advanced analytics and machine learning directly within the database, which helps organizations to perform sophisticated data analysis.
• Adaptive Query Processing
  Includes adaptive query processing features to optimize query performance automatically, improving application speed and efficiency.
• Enhanced Security
  SQL Server 2017 continues to enhance security with features like Always Encrypted, Dynamic Data Masking, and Row-Level Security to protect sensitive data.

Possible disadvantages of SQL Server 2017

• Cost
  Licensing and support costs for SQL Server can be relatively high, particularly for enterprise editions, which may not be cost-effective for smaller organizations.
• Complexity
  SQL Server 2017 includes a vast array of features and configurations that can introduce complexity, requiring substantial expertise to manage and optimize.
• Resource Intensive
  Requires significant system resources for optimal performance, which may necessitate additional investment in hardware to operate efficiently at scale.
• Limited NoSQL Functionality
  While SQL Server 2017 introduces some NoSQL features through its support for JSON and graph databases, it still lags behind dedicated NoSQL databases in terms of flexibility and scalability for unstructured data.
• Version-Specific Features
  Some advanced features are only available in the latest versions or specific editions, which may necessitate upgrades or specific licensing to access the full capabilities, leading to additional expenses.

Sensa features and specs

• Real-time Data Collection
  Sensa provides the ability to collect data in real-time, which is crucial for making timely decisions and ensuring efficient operations.
• Scalability
  The platform can easily scale to accommodate a growing amount of data and an increasing number of devices, making it suitable for businesses of all sizes.
• Comprehensive Analytics
  Sensa offers robust analytics features that help in monitoring, reporting, and understanding various metrics to enhance business performance.
• Ease of Integration
  The platform is designed to integrate seamlessly with existing systems and technologies, reducing the time and effort needed for deployment.
• Industry-specific Solutions
  It offers tailored solutions for specific industries, allowing businesses to leverage IoT capabilities in a way that addresses niche needs efficiently.

Possible disadvantages of Sensa

• Cost
  Implementing Sensa's solutions can be expensive, especially for small businesses, due to the cost of devices, installation, and ongoing support.
• Complexity
  The breadth of features and capabilities may introduce complexity that can be challenging for organizations without dedicated IT support staff.
• Data Privacy Concerns
  As Sensa involves extensive data collection, there might be concerns regarding data privacy and security, particularly in sensitive industries.
• Reliance on Internet Connectivity
  The solution relies heavily on stable internet connectivity, which might be an issue in regions with poor network infrastructure.
• Learning Curve
  Users might experience a steep learning curve when first adopting Sensa's technology, requiring training and adjustment periods.

SQL Server 2017 – Everything you need to know

More videos:

Welcome to Sensa.Health