The document discusses temporal tables in SQL Server 2016, which provide built-in support for handling and archiving old versions of modified data over time. Temporal tables involve two tables - the main temporal table and a history table that records prior versions of each record with their period of validity. The presentation covers how temporal tables work, examples of querying historical data, limitations, and resources for further information.
Although the Calgary Detached absorption rate was lower in August 2015 compared to July 2015, the absorption rate was still better than in 2011 and 2012. In addition, the inventory was higher in 2011 and 2012 than in August 2015. So while we are feeling the effects of a volatile oil and gas sector, the market has not yet reached the market conditions of 2011 and 2012.
conditions of 2011 and 2012.
OSA Con 2022 - Specifics of data analysis in Time Series Databases - Roman Kh...Altinity Ltd
OSA Con 2022: Specifics of data analysis in Time Series Databases
Roman Khavronenko - VictoriaMetrics
Time series data is special. Not only its nature but also the ways that we store and interact with it.
In this talk, we'll cover the differences between storing time series data in classic relational databases
and a new generation of time series databases like VictoriaMetrics and Prometheus.
Modern business is fast and needs to take decisions immediatly. It cannot wait that a traditional BI task that works on data snapshots at some time. Social data, Internet of Things, Just in Time don't undestand "snapshot" and needs working on streaming, live data. Microsoft offers a PaaS solution to satisfy this need with Azure Stream Analytics. Let's see how it works.
[JSS2015] Nouveautés SQL Server 2016:Sécurité,Temporal & Stretch TablesGUSS
SQL Server 2016 a des nouveautés très intéressantes comme le dynamic data masking et le row level security ou encore les stretch tables qui vous permettent l’extension d’une ou plusieurs tables vers une base Azure SQL. Découvrez ces fonctionnalités à travers des exemples d'utilisation.Comment cela fonctionne t-il? Comment peut-il influer sur l'administration de votre base de données? Nous allons essayer de répondre à toutes ces questions ...
Although the Calgary Detached absorption rate was lower in August 2015 compared to July 2015, the absorption rate was still better than in 2011 and 2012. In addition, the inventory was higher in 2011 and 2012 than in August 2015. So while we are feeling the effects of a volatile oil and gas sector, the market has not yet reached the market conditions of 2011 and 2012.
conditions of 2011 and 2012.
OSA Con 2022 - Specifics of data analysis in Time Series Databases - Roman Kh...Altinity Ltd
OSA Con 2022: Specifics of data analysis in Time Series Databases
Roman Khavronenko - VictoriaMetrics
Time series data is special. Not only its nature but also the ways that we store and interact with it.
In this talk, we'll cover the differences between storing time series data in classic relational databases
and a new generation of time series databases like VictoriaMetrics and Prometheus.
Modern business is fast and needs to take decisions immediatly. It cannot wait that a traditional BI task that works on data snapshots at some time. Social data, Internet of Things, Just in Time don't undestand "snapshot" and needs working on streaming, live data. Microsoft offers a PaaS solution to satisfy this need with Azure Stream Analytics. Let's see how it works.
[JSS2015] Nouveautés SQL Server 2016:Sécurité,Temporal & Stretch TablesGUSS
SQL Server 2016 a des nouveautés très intéressantes comme le dynamic data masking et le row level security ou encore les stretch tables qui vous permettent l’extension d’une ou plusieurs tables vers une base Azure SQL. Découvrez ces fonctionnalités à travers des exemples d'utilisation.Comment cela fonctionne t-il? Comment peut-il influer sur l'administration de votre base de données? Nous allons essayer de répondre à toutes ces questions ...
Travelling in time with SQL Server 2016 - Damian WideraITCamp
SQL Server 2016 comes up with a very exciting feature called Temporal tables. You can make queries to historical data lot easier by using this feature. The mechanism is very simple however you all should know it in depth to make sure you can use it efficiently. And this is exactly what I am going to do during this session – show you how to create temporal tables, how to use and manage them.
This is the used slide in SQLDay Event in Wroclaw, Poland. During this session were covered one of the most interesting features of SQL Server 2016, Temporal Tables.
With 9.4 came logical decoding but what is it and how can it be used? Besides being a precursor to bi-directional replication there are plenty of use cases for this and many don't even require you to implement a plugin. We'll look at trigger-less auditing, partial replication and full statement replication.
Auditing data and answering the life long question, is it the end of the day ...Simona Meriam
At Nielsen, data is very important. Being the core of our business, we love it and there’s lots of it. We don’t want to lose it, and at the same time, we don’t want to duplicate it.
Our data goes through a robust Kafka architecture, into several ETLs, receiving, transforming and storing the data.
While we clearly understood our ETLs’ workflow, we had no visibility into what parts of the data, if any, were lost or duplicated, and in which stage or stages of the workflow, from source to destination.
But how much do we know about the way our data makes though our systems? And what about the life long question, is it the end of the day yet?
In this talk I’m going to present to you the design process behind our Data Auditing system, Life Line. From tracking and producing , to analysing and storing auditing information, using technologies such as Kafka, Avro, Spark, Lambda functions and complex SQL queries. We’re going to cover:
* AVRO Audit header
* Auditing heart beat - designing your metadata
* Designing and optimising your auditing table - what does this data look like anyway?
* Creating an alert based monitoring system
* Answering the most important question of all - is it the end of the day yet?
Orchestrate Event-Driven Infrastructure with SaltStackLove Nyberg
Saltstack is by it's design a event driven configuration management tool. In talk will do a deep dive into salt reactor, runners and beacon systems. Talk will also cover a demo of event driven application releases process.
Statistics is a very crucial concept in SQL Server to understand why a specific query plan was chosen to execute your query. In this slideshow, I attempt to explain some basic concepts in SQL Server Statistics.
Got a question or comment? Write to me at love@withsqlserver.com
Happy DBA'ing!
Back to the future - Temporal Table in SQL Server 2016Stéphane Fréchette
SQL Server 2016 CTP2 introduced support for temporal tables as a database feature that provides built-in support for provide information about data stored in the table at any point in time rather than only the data that is correct at the current moment in time.
Topics will cover:
What is a Temporal Table?, Why Temporal? How does this work?, When to use (use cases) and demos...
Is there a way that we can build our Azure Synapse Pipelines all with paramet...Erwin de Kreuk
Is there a way that we can build our Synapse Data Pipelines all with parameters all based on MetaData? Yes there's and I will show you how to. During this session I will show how you can load Incremental or Full datasets from your sql database to your Azure Data Lake. The next step is that we want to track our history from these extracted tables. We will do using Delta Lake. The last step that we want, is to make this data available in Azure SQL Database or Azure Synapse Analytics. Oh and we want to have some logging as well from our processes A lot to talk and to demo about during this session.
InfluxQL is a powerful query language for InfluxDB, and TICKScript is a domain specific language used by Kapacitor to define tasks involving the extraction, transformation and loading of data and also involving the tracking of arbitrary changes and detection of events within data. The combination of these two can make your monitoring apps powerful. During this session, InfluxData Engineer Michael DeSa will share best practices for using these powerful tools. Prerequisite: Intro To Kapacitor.
Temporal Tables are a great MariaDB feature that allows us to query past data, seeing how data were at a certain point in time, or how they changed over a given period. The slides illustrate the feature itself, how to use it, what can be done with it, and a set of opinionated good practices. Federico Razzoli gave this talk at MariaDB Server Fest 2020.
Uncovering SQL Server query problems with execution plans - Tony DavisRed Gate Software
Presentation by Tony Davis at SQL in The City 2016. An execution plan tells you exactly which tables and indexes SQL Server accessed, in what order, and what other operations it performed to return the data your query needed. But sometimes, the plan for even the simplest-looking query can reveal nasty surprises.
This session describes how SQL Server generates and reuses execution plans and the implications this has for you as the developer. After a quick-start guide to retrieving and reading plans, we'll focus on techniques that can help you track down high-cost queries quickly.
We'll cover tools such as ANTS Performance Profiler, as well as scripts that hunt down execution plans for queries that caused expensive scans, sort warnings, and other issues. Examining those plans, you'll uncover the root cause of the problem, often revealing issues such as inefficient indexing, data type mismatches, and misuse of functions.
Learn more about ANTS Performance Profiler: http://www.red-gate.com/products/dotnet-development/ants-performance-profiler/
Find out about all Redgate Products: http://www.red-gate.com/products/
Connect with Tony Davis on LinkedIn: https://www.linkedin.com/in/tony-davis-208b241
Download tally patch to export data from Tally & file return on ClearTax GST Software. Your all Tally ERP 9 Solutions can be integrated with ClearTax GST.
SQL 2016 introduit une fonctionnalité très attendue, le SQL query store . Ou comment lire dans SQL comme dans un livre ouvert et retrouver tres exactement l'historique détaillé des queries et des plans d'executions. Session recommandée a tout amateur de fine tuning et de troubleshooting.
This presentations shows how to create a time/date dimension for PowerPivot from the date data in your fact table. I also shows the DAX functions that you can use to add columns to the fact table or a separate dimension table.
Travelling in time with SQL Server 2016 - Damian WideraITCamp
SQL Server 2016 comes up with a very exciting feature called Temporal tables. You can make queries to historical data lot easier by using this feature. The mechanism is very simple however you all should know it in depth to make sure you can use it efficiently. And this is exactly what I am going to do during this session – show you how to create temporal tables, how to use and manage them.
This is the used slide in SQLDay Event in Wroclaw, Poland. During this session were covered one of the most interesting features of SQL Server 2016, Temporal Tables.
With 9.4 came logical decoding but what is it and how can it be used? Besides being a precursor to bi-directional replication there are plenty of use cases for this and many don't even require you to implement a plugin. We'll look at trigger-less auditing, partial replication and full statement replication.
Auditing data and answering the life long question, is it the end of the day ...Simona Meriam
At Nielsen, data is very important. Being the core of our business, we love it and there’s lots of it. We don’t want to lose it, and at the same time, we don’t want to duplicate it.
Our data goes through a robust Kafka architecture, into several ETLs, receiving, transforming and storing the data.
While we clearly understood our ETLs’ workflow, we had no visibility into what parts of the data, if any, were lost or duplicated, and in which stage or stages of the workflow, from source to destination.
But how much do we know about the way our data makes though our systems? And what about the life long question, is it the end of the day yet?
In this talk I’m going to present to you the design process behind our Data Auditing system, Life Line. From tracking and producing , to analysing and storing auditing information, using technologies such as Kafka, Avro, Spark, Lambda functions and complex SQL queries. We’re going to cover:
* AVRO Audit header
* Auditing heart beat - designing your metadata
* Designing and optimising your auditing table - what does this data look like anyway?
* Creating an alert based monitoring system
* Answering the most important question of all - is it the end of the day yet?
Orchestrate Event-Driven Infrastructure with SaltStackLove Nyberg
Saltstack is by it's design a event driven configuration management tool. In talk will do a deep dive into salt reactor, runners and beacon systems. Talk will also cover a demo of event driven application releases process.
Statistics is a very crucial concept in SQL Server to understand why a specific query plan was chosen to execute your query. In this slideshow, I attempt to explain some basic concepts in SQL Server Statistics.
Got a question or comment? Write to me at love@withsqlserver.com
Happy DBA'ing!
Back to the future - Temporal Table in SQL Server 2016Stéphane Fréchette
SQL Server 2016 CTP2 introduced support for temporal tables as a database feature that provides built-in support for provide information about data stored in the table at any point in time rather than only the data that is correct at the current moment in time.
Topics will cover:
What is a Temporal Table?, Why Temporal? How does this work?, When to use (use cases) and demos...
Is there a way that we can build our Azure Synapse Pipelines all with paramet...Erwin de Kreuk
Is there a way that we can build our Synapse Data Pipelines all with parameters all based on MetaData? Yes there's and I will show you how to. During this session I will show how you can load Incremental or Full datasets from your sql database to your Azure Data Lake. The next step is that we want to track our history from these extracted tables. We will do using Delta Lake. The last step that we want, is to make this data available in Azure SQL Database or Azure Synapse Analytics. Oh and we want to have some logging as well from our processes A lot to talk and to demo about during this session.
InfluxQL is a powerful query language for InfluxDB, and TICKScript is a domain specific language used by Kapacitor to define tasks involving the extraction, transformation and loading of data and also involving the tracking of arbitrary changes and detection of events within data. The combination of these two can make your monitoring apps powerful. During this session, InfluxData Engineer Michael DeSa will share best practices for using these powerful tools. Prerequisite: Intro To Kapacitor.
Temporal Tables are a great MariaDB feature that allows us to query past data, seeing how data were at a certain point in time, or how they changed over a given period. The slides illustrate the feature itself, how to use it, what can be done with it, and a set of opinionated good practices. Federico Razzoli gave this talk at MariaDB Server Fest 2020.
Uncovering SQL Server query problems with execution plans - Tony DavisRed Gate Software
Presentation by Tony Davis at SQL in The City 2016. An execution plan tells you exactly which tables and indexes SQL Server accessed, in what order, and what other operations it performed to return the data your query needed. But sometimes, the plan for even the simplest-looking query can reveal nasty surprises.
This session describes how SQL Server generates and reuses execution plans and the implications this has for you as the developer. After a quick-start guide to retrieving and reading plans, we'll focus on techniques that can help you track down high-cost queries quickly.
We'll cover tools such as ANTS Performance Profiler, as well as scripts that hunt down execution plans for queries that caused expensive scans, sort warnings, and other issues. Examining those plans, you'll uncover the root cause of the problem, often revealing issues such as inefficient indexing, data type mismatches, and misuse of functions.
Learn more about ANTS Performance Profiler: http://www.red-gate.com/products/dotnet-development/ants-performance-profiler/
Find out about all Redgate Products: http://www.red-gate.com/products/
Connect with Tony Davis on LinkedIn: https://www.linkedin.com/in/tony-davis-208b241
Download tally patch to export data from Tally & file return on ClearTax GST Software. Your all Tally ERP 9 Solutions can be integrated with ClearTax GST.
SQL 2016 introduit une fonctionnalité très attendue, le SQL query store . Ou comment lire dans SQL comme dans un livre ouvert et retrouver tres exactement l'historique détaillé des queries et des plans d'executions. Session recommandée a tout amateur de fine tuning et de troubleshooting.
This presentations shows how to create a time/date dimension for PowerPivot from the date data in your fact table. I also shows the DAX functions that you can use to add columns to the fact table or a separate dimension table.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
6. #sqlsatParma
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- a database with built-in support for handling and archiving
old versions of modified data over the time.
- involves 2 tables:
I. the main Temporal Table
II. a History Table
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A temporal table is a table:
- With a PERIOD definition
- Contains system columns with a datatype of DATETIME2
- Has an associated history table into which the system records
all prior versions of each record with their period of validity.
The value of each record at any point in time can be determined
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Historical data may be critical to business success
Traditional databases fail to provide required insights
Complex, expensive, limited, inflexible, inefficient
No change in programming model
Provides new insights
Time Travel Data Audit
Slowly
Changing
Dimensions
Repair record-level
corruptions
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No change in programming model New insights
INSERT / BULK
INSERT
UPDATE
DELETE
MERGE
DML SELECT * FROM
temporal
Querying
CREATE temporal
TABLE PERIOD
FOR
SYSTEM_TIME…
ALTER
regular_table
TABLE ADD
PERIOD…
DDL
FOR SYSTEM_TIME
AS OF
FROM..TO
BETWEEN..AND
CONTAINED IN
Temporal
Querying
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DepNum DepName MngrID From To
A001 Marketing 5 2005 2008
A002 Sales 2 2005 2007
A003 Consulting 6 2005 2006
A003 Consulting 10 2009 2012
DepNum DepName MngrID From To
A001 Marketing 6 2008 ∞
A002 Sales 5 2007 ∞
Department (history)
Department (current)
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Department (current + history)
DepNum DepName MngrID
A001 Marketing 5
A001 Marketing 6
A002 Sales 2
A002 Sales 5
A003 Consulting 6
A003 Consulting 10
A001
A002
A003
period of validity current time
∞
∞
2005 2015
A001
A002
A003
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Department (current + history)
DepNum DepName MngrID
A001 Marketing 5
A001 Marketing 6
A002 Sales 2
A002 Sales 5
A003 Consulting 6
A003 Consulting 10
A001
A002
A003
period of validity current time
∞
∞
2005 2015
A001
A002
A003
SELECT * FROM Department
“Get actual row versions”
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A001
A002
A003
period of validity current time
∞
∞
2005 2015
AS OF
A001
A002
A003
Department (current + history)
DepNum DepName MngrID
A001 Marketing 5
A001 Marketing 6
A002 Sales 2
A002 Sales 5
A003 Consulting 6
A003 Consulting 10
SELECT * FROM Department FOR SYSTEM_TIME
AS OF '2006.01.01'
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A001
A002
A003
period of validity current time
∞
∞
2005 2015
A001
A002
A003
BETWEEN..ANDDepartment (current + history)
DepNum DepName MngrID
A001 Marketing 5
A001 Marketing 6
A002 Sales 2
A002 Sales 5
A003 Consulting 6
A003 Consulting 10
SELECT * FROM Department FOR SYSTEM_TIME
BETWEEN '2006.01.01' AND '2007.01.01'
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Title
Department (current + history)
DepNum DepName MngrID
A001 Marketing 5
A001 Marketing 6
A002 Sales 2
A002 Sales 5
A003 Consulting 6
A003 Consulting 10
A001
A002
A003
period of validity current time
∞
∞
2005 2015
A001
A002
A003
CONTAINED IN
SELECT * FROM Department FOR SYSTEM_TIME
CONTAINED IN ('2007.01.01', '2009.01.01')
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A001
A002
A003
period of validity current time
∞
∞
2005 2015
A001
A002
A003
ALLDepartment (current + history)
DepNum DepName MngrID
A001 Marketing 5
A001 Marketing 6
A002 Sales 2
A002 Sales 5
A003 Consulting 6
A003 Consulting 10
SELECT * FROM Department FOR SYSTEM_TIME ALL
CTP 3
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Expression Qualifying Rows
AS OF <date_time>
SysStartTime <= date_time
AND
SysEndTime > date_time
FROM <start_date_time>
TO <end_date_time>
SysStartTime < end_date_time
AND
SysEndTime > start_date_time
BETWEEN <start_date_time>
AND <end_date_time>
SysStartTime <= end_date_time
AND
SysEndTime > start_date_time
CONTAINED IN
(<start_date_time> ,
<end_date_time>)
SysStartTime >= start_date_time
AND
SysEndTime <= end_date_time
ALL All rows
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SELECT * FROM Department
FOR SYSTEM_TIME
AS OF '2010.01.01'
Facts:
1. History is much bigger than actual data
2. Retained between 3 and 10 years
3. “Warm”: up to a few weeks/months
4. “Cold”: rarely queried
Solution:
History as a stretch table:
PeriodEnd < “Now - 6 months”
Azure SQL Database
Optimizations
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Limitations
- A temporal table must have a primary key defined
- History table cannot have constraints; primary key, foreign key, table or
column constraints
- INSERT and UPDATE statements cannot reference the SYSTEM_TIME period
columns
- TRUNCATE TABLE is not supported while SYSTEM_VERSIONING is ON
- Direct modification of the data in a history table is not permitted
- INSTEAD OF triggers not permitted on current and history table, AFTER
triggers permitted only on CURRENT TABLE
- REPLICATION usage is limited, some objects/properties are not replicated
/*
Temporal Tables are available in Azure SQL Database as a Private Preview
feature. Please note that information about private preview for Temporal is
strictly NDA
*/
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Resources
Getting started
https://msdn.microsoft.com/en-US/library/mt604462.aspx
Considerations / Limitations
https://msdn.microsoft.com/en-us/library/mt604468.aspx
System-Versioned Temporal Tables with Memory-Optimized Tables
https://msdn.microsoft.com/en-US/library/mt590207.aspx
http://sqlmag.com/sql-server/first-look-system-versioned-temporal-tables-part-1-creating-tables-
and-modifying-data
http://blogs.technet.com/b/dataplatforminsider/archive/2015/10/28/sql-server-2016-community-
technology-preview-3-0-is-available.aspx
Useful readings about Triggers
http://www.ugiss.org/2015/08/28/trigger-su-sql-server-utili-o-dannosi/