Beyond these benefits, Axon Evidence is part of the Axon network of connected devices and other solutions that work together seamlessly to help agencies serve their communities.

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Built on Microsoft Azure, Axon Evidence is designed to help law enforcement agencies manage digital evidence in a highly secure, efficient, and trustworthy way. It promises to move law enforcement away from the frustrating and siloed world of thumb drives, CD burners, and disparate systems of data, to one where digital evidence is streamlined.

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In a world where most crimes involve a digital footprint, one of the challenges facing law enforcement is cataloging an enormous volume of digital evidence.

Materialized views were introduced by Oracle Database, while IBM Db2 provides so-called "materialized query tables" (MQTs) for the same purpose. Microsoft SQL Server introduced in its 2000 version indexed views which only store a separate index from the table, but not the entire data. PostgreSQL implemented materialized views in its 9.3 release.

Views can be defined as read-only or updatable. If the database system can determine the reverse mapping from the view schema to the schema of the underlying base tables, then the view is updatable. INSERT, UPDATE, and DELETE operations can be performed on updatable views. Read-only views do not support such operations because the DBMS cannot map the changes to the underlying base tables. A view update is done by key preservation.

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Just as a function (in programming) can provide abstraction, so can a database view. In another parallel with functions, database users can manipulate nested views, thus one view can aggregate data from other views. Without the use of views, the normalization of databases above second normal form would become much more difficult. Views can make it easier to create lossless join decomposition.

A view is equivalent to its source query. When queries are run against views, the query is modified. For example, if there exists a view named accounts_view with the content as follows:

With Axon Evidence, pieces of potential evidence are secured in a searchable, cloud-based storage system, where security controls ensure it can only be accessed and shared according to legal requirements and department policies. AI-powered services automatically generate transcriptions from audio and video files, and they can even identify people, objects, and other features in photos and videos.

As law enforcement agencies navigate growing volumes of critical data, they need technology that helps them track, manage, and use data to better serve the public. Axon Evidence, a powerful solution from Microsoft partner Axon, does just that.

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By harnessing Azure, Axon Evidence is empowering the justice system to make better data-informed decisions and deliver trusted outcomes. With Axon’s cloud solution, agencies can deliver greater protection and service for their communities with confidence that it will ensure the accountability and confidence they demand.

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“As attractive as cloud-based offerings and AI-powered capabilities might be, many law enforcement agencies have important concerns about issues such as control, compliance, data sovereignty, and—of course—security,” said Wallace.

In a database, a view is the result set of a stored query that presents a limited perspective of the database to a user.[1] This pre-established query command is kept in the data dictionary. Unlike ordinary base tables in a relational database, a view does not form part of the physical schema: as a result set, it is a virtual table[1] computed or collated dynamically from data in the database when access to that view is requested. Changes applied to the data in a relevant underlying table are reflected in the data shown in subsequent invocations of the view.

Just as rows in a base table lack any defined ordering, rows available through a view do not appear with any default sorting. A view is a relational table, and the relational model defines a table as a set of rows. Since sets are not ordered — by definition — neither are the rows of a view. Therefore, an ORDER BY clause in the view definition is meaningless; the SQL standard (SQL:2003) does not allow an ORDER BY clause in the subquery of a CREATE VIEW command, just as it is refused in a CREATE TABLE statement. However, sorted data can be obtained from a view, in the same way as any other table — as part of a query statement on that view. Nevertheless, some DBMS (such as Oracle Database) do not abide by this SQL standard restriction.

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Before Chad Wallace joined Microsoft as Senior Business Strategy Manager, Worldwide Public Safety and Justice, he worked in law enforcement. “When potentially useful evidence is discovered, multiple copies must be made for prosecutors, defense counsel, and the courts. It is a complex and often painfully slow process,” he said. “Investigators and officers spend precious hours combing through evidence, searching for ‘needles in a haystack.’ It is all too easy to overlook key pieces of evidence.”

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Axon chose the Azure platform because of Microsoft investments in security, transparency, and compliance—which are unmatched in the industry and have earned the trust of governments and businesses around the world. The capabilities provided by Azure include the full scope of Microsoft security and trust benefits helping Axon deliver a solution that’s compliant with major global industry standards and regulations, including the Criminal Justice Information Services security policy.

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Some systems support the definition of INSTEAD OF triggers on views. This technique allows the definition of other logic for execution in place of an insert, update, or delete operation on the views. Thus database systems can implement data modifications based on read-only views. However, an INSTEAD OF trigger does not change the read-only or updatable property of the view itself.

The optimizer then removes unnecessary fields and complexity (for example it is not necessary to read the address, since the parent invocation does not make use of it) and then sends the query to the SQL engine for processing.

Not only does the platform help investigators, but it can also deliver other critical benefits for law enforcement agencies. These include:

By using Axon Evidence on Azure, an investigator can use digital tools onsite to begin the process of triaging the various forms of digital evidence. This allows the investigator to conduct a preliminary analysis and easily place potentially valuable evidence into a secure cloud environment. When evidence like devices or recording data is brought to a lab, forensic experts can then focus on deconstructing, deciphering, and delivering the important data locked within.

Various database management systems have extended the views from read-only subsets of data, particularly materialized views: pre-executed, non-virtual views commonly used in data warehousing. They give a static snapshot of the data and may include data from remote sources. The accuracy of a materialized view depends on the frequency of trigger mechanisms behind its updates.