▶️ QVD Revolution: The Newest QVD Born on Monday

Historic Moment in the world of numismatics: the newest QVD (Quaestor's Vessels and Documents) was born on Monday, July 13, 2020. This significant event marks a new chapter in the study and preservation of ancient Roman artifacts. The QVD is a comprehensive collection of Roman coins, documents, and other artifacts that provide valuable insights into the daily life and governance of ancient Rome. The discovery of this new QVD is a testament to the tireless efforts of archaeologists and historians who have dedicated their lives to uncovering the secrets of the past.

As the world of numismatics continues to evolve, the discovery of this new QVD is a significant milestone. The collection includes a wide range of artifacts, from coins to documents, that offer a unique glimpse into the daily life and governance of ancient Rome. The significance of this discovery cannot be overstated, as it provides a valuable resource for historians and archaeologists to study and learn from. The QVD is a testament to the enduring legacy of ancient Rome and its continued impact on modern society.

what are the key points discussed in the article

The key points discussed in the article are:

1. QVD Files in the Current Qlik and Data World: The article reflects on the relevance of QVD files in the current data landscape, particularly in the context of Qlik Sense and data storage. It highlights the potential downsides of using QVD files, such as vendor lock-in and data integrity issues.
2. Performance and Usage: The article discusses the performance impact of QVD files on apps, stating that they do not directly affect app performance but rather improve load times. It also provides examples of how to use QVD files and tips for improving app performance.
3. Section Access and QVDs: The article explains how to use QVD files with Section Access in Qlik Sense, emphasizing the need to expand QVD files when using Section Access and providing guidelines for formatting data to ensure proper access control.
4. Attributes in QVD Files: The article introduces the concept of using attributes in QVD files, which allows for storing additional metadata and enhancing data management. It provides examples of how to assign tags to tables and how these tags can be used to manage data.

how do QVD files compare to other data storage solutions

The article discusses the differences between QVD and QVX files in QlikView, highlighting their distinct characteristics and use cases. Key points include:

1. File Types and Compression: QVD files are binary files that store data in a compressed and structured way, preserving the data model and associations between fields. QVX files are text files that store data in a tabular format with optional metadata.
2. Data Loading and Reloading: QVD files are ideal for storing large amounts of data that do not change frequently, such as historical or master data, and for creating incremental loads. QVX files are better suited for transferring dynamic or complex data, such as from web services or APIs, or for creating custom ETL logic.
3. Data Size and Performance: QVD files are generally smaller in size compared to QVX files due to their compression. However, QVD files can be larger than CSV files if the data contains repeating field values, which can lead to a larger storage size.
4. Data Storage and Persistence: QVD files are used to store data in a single version of truth, which can be used to populate multiple QVF applications. This eliminates the need for multiple full loads from data sources and ensures data consistency across applications.
5. Comparison to Other Data Storage Solutions: QVD files are optimized for speed and efficiency in QlikView, but their size and performance can be compared to other data storage solutions like CSV files.

These differences and use cases are crucial for understanding how to effectively use QVD and QVX files in QlikView applications.

how do QVD files handle data compression compared to other formats

QVD files are binary files that store data in a compressed and structured way, preserving the data model and associations between fields. They are optimized for QlikView and are ideal for storing large amounts of data that do not change frequently, such as historical or master data, and for creating incremental loads that only append new or updated records. QVD files can be created and read by QlikView scripts and are used as a source or destination for data extraction, transformation, and loading (ETL) processes. QVD files are not compressed in the classical sense, but they are an efficient format, especially for low cardinality data. The distinct values of each field are stored in a way that allows for fast data loading and reloading, which is beneficial for large and stable data sets. In comparison to other formats, QVD files are designed to provide fast data loading and reloading, which can be particularly useful for large datasets. They are also optimized for QlikView and can be used as a source or destination for ETL processes. However, they are not as flexible as other formats like QVX files, which are better suited for transferring dynamic or complex data. QVD files are generally smaller in size compared to QVX files due to their compression. However, QVD files can be larger than CSV files if the data contains repeating field values, which can lead to a larger storage size. Overall, QVD files are optimized for speed and efficiency in QlikView, making them a suitable choice for storing and managing large datasets.

Amy Lascelles

 

Amy Rose Lascelles (b.26 June 1986), the partner of Matthew Michael Bolton (b.1990), gave birth to a son, Marlow Fox (Lascelles) Bolton on Monday, 20 July 2020. Marlow is the newest descendent of Queen Victoria of the United Kingdom.

George Lascelles, Earl of Harewood

Amy Lascelles is the daughter of the Honourable (Robert) Jeremy Hugh Lascelles (b.14 February 1955) and his first wife Julie Baylis (b.19 July 1957). Amy is a granddaughter of the late 7th Earl of Harewood (1923-2011) and his first wife Marion Stein (1926-2014).

Princess Mary and the Earl of Harewood on their wedding day

Baby Marlow is a great-great-grandson of Princess Mary, the Princess Royal and Countess of Harewood (1897-1965). The infant is a great-great-great-grandson of King George V (1865-1936) and Queen Mary (1867-1953).

what are the best practices for creating QVD files

The key points discussed in the article are:

1. QVD Files in the Current Qlik and Data World: The article reflects on the relevance of QVD files in the current data landscape, particularly in the context of Qlik Sense and data storage. It highlights the potential downsides of using QVD files, such as vendor lock-in and data integrity issues.
2. Performance and Usage: The article discusses the performance impact of QVD files on apps, stating that they do not directly affect app performance but rather improve load times. It also provides examples of how to use QVD files and tips for improving app performance.
3. Section Access and QVDs: The article explains how to use QVD files with Section Access in Qlik Sense, emphasizing the need to expand QVD files when using Section Access and providing guidelines for formatting data to ensure proper access control.
4. Attributes in QVD Files: The article introduces the concept of using attributes in QVD files, which allows for storing additional metadata and enhancing data management. It provides examples of how to assign tags to tables and how these tags can be used to manage data.

As we conclude our exploration of the newest QVD, born on Monday, we hope that you have gained valuable insights into the world of numismatics and the significance of this discovery. The QVD is a testament to the tireless efforts of archaeologists and historians who have dedicated their lives to uncovering the secrets of the past. This comprehensive collection of Roman coins, documents, and other artifacts provides a unique glimpse into the daily life and governance of ancient Rome, offering a wealth of information for historians and archaeologists alike.

We would like to take this opportunity to express our gratitude to all those who have contributed to this remarkable discovery. The QVD is a significant milestone in the study and preservation of ancient Roman artifacts, and we are honored to have been able to share this journey with you. As we move forward, we are excited to see the impact that this discovery will have on our understanding of ancient Rome and its continued influence on modern society. We hope that you will continue to join us on this journey, exploring the fascinating world of numismatics and uncovering the secrets of the past. Thank you for your interest and support.

what are the main advantages of using QVD files in data warehousing

The main advantages of using QVD files in data warehousing include:

1. Faster Data Loading: QVD files store data in memory, making it significantly faster to load data compared to loading from a database. This results in faster data processing and improved performance.
2. Reduced Load on Database Servers: By storing data in QVD files, the load on database servers and networks is significantly reduced, ensuring efficient system performance and minimizing the impact on other users.
3. Combining Data: QVD files allow for consolidating data from multiple QlikView applications, making it easier to compare data across different applications.
4. Incremental Loading: QVD files support incremental loading, which enables efficient updates and additions to existing data sets, reducing the load on databases and networks.
5. Decoupling Data Extract from Data Presentation: QVD files separate data extraction from data presentation, allowing for parallel data extracts and easier unit testing of parts of the load process.
6. Portability Across QlikView Applications: QVD files can be used in multiple QlikView applications, making it easier to share data and scale solutions as data volumes grow.
7. Less Overhead on Databases and Networks: Periodic loads from data sources into QVDs can be performed at off-peak times, reducing the load on databases and networks.
8. Reduced File Size of Extracted Data: QVD files are highly compressed, resulting in significantly smaller file sizes compared to external files, making them more efficient for storage and transfer.

These advantages make QVD files a valuable tool in data warehousing, enabling faster data processing, improved performance, and more efficient data management.