This document summarizes several new data types and features introduced in SQL Server 2008 R2 including:
- Datetime data types such as DATE, TIME, DATETIME2, and DATETIMEOFFSET.
- Spatial data types GEOMETRY and GEOGRAPHY for storing planar and geospatial data.
- HIERARCHYID for representing hierarchical data in tables.
- FILESTREAM for storing large binary objects on the file system.
- CLR integration for using .NET code in SQL Server.
The slide shows a full gist of reading different types of data in R thanks to coursera it was much comprehensive and i made some additional changes too.
The slide shows a full gist of reading different types of data in R thanks to coursera it was much comprehensive and i made some additional changes too.
Overview of a few ways to group and summarize data in R using sample airfare data from DOT/BTS's O&D Survey.
Starts with naive approach with subset() & loops, shows base R's tapply() & aggregate(), highlights doBy and plyr packages.
Presented at the March 2011 meeting of the Greater Boston useR Group.
Third normal form? That’s so 20th century. Learn the newest techniques to make your Cassandra database sing from the rafters in performance and scalability. AND it uses concepts that you already know and apply every day. You can do this. This is the must-see half hour of your professional life! These developers found a new way to work with databases. First you will be shocked, then you will be inspired!
Overview of a few ways to group and summarize data in R using sample airfare data from DOT/BTS's O&D Survey.
Starts with naive approach with subset() & loops, shows base R's tapply() & aggregate(), highlights doBy and plyr packages.
Presented at the March 2011 meeting of the Greater Boston useR Group.
Third normal form? That’s so 20th century. Learn the newest techniques to make your Cassandra database sing from the rafters in performance and scalability. AND it uses concepts that you already know and apply every day. You can do this. This is the must-see half hour of your professional life! These developers found a new way to work with databases. First you will be shocked, then you will be inspired!
This presentation by Bruce Momjian. Co-Founder of the Global PostgreSQL Development team and a Senior Architect at EDB. He demonstrates how to use arrays, geometry and JSON for NoSQL data types to overcome restrictions of relational storage to support new innovative applications, specifically by storing and indexing multiple values, even unrelated ones, in a single database field. Such storage allows for greater efficiency and access simplicity, and can also avoid the negatives of entity-attribute-value (eav) storage.
Postgres has always had strong support for relational storage. However, there are some cases where relational storage might be inefficient or overly restrictive.
This is a brief introduction to how R can be useful in the manufacturing sector to calculate the frequency of faults and then developing the model so that preventive maintenance can be done
Data Exploration with Apache Drill: Day 1Charles Givre
Study after study shows that data scientists and analysts spend between 50% and 90% of their time preparing their data for analysis. Using Drill, you can dramatically reduce the time it takes to go from raw data to insight. This course will show you how.
The course material for this presentation are available at https://github.com/cgivre/data-exploration-with-apache-drill
Полнотекстовый поиск в PostgreSQL / Александр Алексеев (Postgres Professional)Ontico
РИТ++ 2017, Backend Conf
Зал Сан-Паулу, 6 июня, 11:00
Тезисы:
http://backendconf.ru/2017/abstracts/2780.html
Не всем известно, что в PostgreSQL есть полнотекстовый поиск. Притом, в отличие от некоторых других РСУБД, в PostgreSQL этот поиск совершенно полноценный и способный посоревноваться в скорости и качестве со специализированными решениями. Что не менее интересно, используя полнотекстовый поиск PostgreSQL, вы можете избавиться от дублирования данных, экономя тем самым место на диске, трафик и обеспечивая согласованность данных.
Из этого доклада вы узнаете, как использовать для полнотекстового поиска PostgreSQL GIN, GiST, а также новый RUM-индекс, в чем заключаются преимущества и недостатки названных индексов, как с их помощью сделать поиск по документами или, например, саджестилки, и не только.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
3. Datetime DATE: As you can imagine, the DATE data type only stores a date in the format of YYYY-MM-DD. It has a range of 0001-01-01 through 9999-12-32, which should be adequate for most business and scientific applications. The accuracy is 1 day, and it only takes 3 bytes to store the date. TIME: TIME is stored in the format: hh:mm:ss.nnnnnnn, with a range of 00:00:00.0000000 through 23:59:59:9999999 and is accurate to 100 nanoseconds. Storage depends on the precision and scale selected, and runs from 3 to 5 bytes.
4. DECLARE @d DATE SET @d = GETDATE() SELECT @d -- outputs '2008-04-06 ' SET @d = '1234-03-22 11:25:09' SELECT @d -- outputs '1234-03-22 '
5. CREATE TABLE #times( T TIME, T1 TIME(1), T5 TIME(5), T7 TIME(7) ) INSERT INTO #times VALUES ( '01:02:03.1234567', '01:02:03.1234567', '01:02:03.1234567', '01:02:03.1234567') SELECT * FROM #times T T1 T5 T7 ---------------- ---------------- ---------------- ---------------- 01:02:03.1234567 01:02:03.1000000 01:02:03.1234600 01:02:03.1234567
6. DATETIME2: DATETIME2 is very similar to the older DATETIME data type, but has a greater range and precision. The format is YYYY-MM-DD hh:mm:ss:nnnnnnnm with a range of 0001-01-01 00:00:00.0000000 through 9999-12-31 23:59:59.9999999, and an accuracy of 100 nanoseconds. Storage depends on the precision and scale selected, and runs from 6 to 8 bytes. DATETIMEOFFSET: DATETIMEOFFSET is similar to DATETIME2, but includes additional information to track the time zone. The format is YYYY-MM-DD hh:mm:ss[.nnnnnnn] [+|-]hh:mm with a range of 0001-01-01 00:00:00.0000000 through 0001-01-01 00:00:00.0000000 through 9999-12-31 23:59:59.9999999 (in UTC), and an accuracy of 100 nanoseconds. Storage depends on the precision and scale selected, and runs from 8 to 10 bytes.
9. Spatial GEOMETRY: The GEOMETRY data type is used to store planar (flat-earth) data. It is generally used to store XY coordinates that represent points, lines, and polygons in a two-dimensional space. For example storing XY coordinates in the GEOMETRY data type can be used to map the exterior of a building. GEOGRAPHY: The GEOGRAPHY data type is used to store ellipsoidal (round-earth) data. It is used to store latitude and longitude coordinates that represent points, lines, and polygons on the earth’s surface. For example, GPS data that represents the lay of the land is one example of data that can be stored in theGEOGRAPHY data type.
12. HIERARCHYID Organizational structures A set of tasks that make up a larger projects (like a GANTT chart) File systems (folders and their sub-folders) A classification of language terms A bill of materials to assemble or build a product A graphical representation of links between web pages
13. CREATE TABLE #Categories ( CategoryID INT IDENTITY(1,1), CategoryNode HIERARCHYID NOT NULL, CategName NVARCHAR(40) NOT NULL )
14. DECLARE @root HIERARCHYID = hierarchyid::GetRoot() INSERT INTO #Categories (CategoryNode, CategName) VALUES (@root, 'All #Categories') -- insert the 'Electronics' category DECLARE @electronics HIERARCHYID SELECT @electronics = @root.GetDescendant(NULL, NULL) INSERT INTO #Categories (CategoryNode, CategName) VALUES (@electronics, 'Electronics') -- insert the 'Music' category after 'Electronics' DECLARE @music HIERARCHYID SELECT @music = @root.GetDescendant(NULL, @electronics) INSERT INTO #Categories (CategoryNode, CategName) VALUES (@music, 'Music')
15. -- insert the 'Apparel' category between 'Electronics' and 'Music' SELECT @music = @root.GetDescendant(@music, @electronics) INSERT INTO #Categories (CategoryNode, CategName) VALUES (@music, 'Apparel') -- insert some children under 'Electronics' DECLARE @video HIERARCHYID -- We could do a simple @category.GetDescendant() but, let's -- show something that is more likely to happen SELECT @video = CategoryNode.GetDescendant(NULL, NULL) FROM #Categories WHERE CategName ='Electronics' INSERT INTO #Categories (CategoryNode, CategName) VALUES (@video, 'Video Equipment') -- insert some children under 'Video Equipment' DECLARE @tvs HIERARCHYID SELECT @tvs = @video.GetDescendant(NULL, NULL) INSERT INTO #Categories (CategoryNode, CategName) VALUES (@tvs, 'Televisions') DECLARE @players HIERARCHYID SELECT @players = @video.GetDescendant(NULL, @tvs) INSERT INTO #Categories (CategoryNode, CategName) VALUES (@players, 'DVD - BluRay')
16. SELECT CategoryID, CategName, CategoryNode, CategoryNode.ToString() AS Path FROM #Categories
17. FILESTREAM Transact-SQL can be used to SELECT, INSERT, UPDATE, DELETE FILESTREAM data. By default, FILESTREAM data is backed up and restored as part of the database file. If you want, there is an option available so you can backup a database without the FILESTREAM data. The size of the stored data is only limited by the available space of the file system. Standard VARBINARY(MAX) data is limited to 2 GB.
18.
19. USE Production; GO CREATE TABLE DocumentStore ( DocumentID INT IDENTITY PRIMARY KEY, Document VARBINARY (MAX) FILESTREAM NULL, DocGUID UNIQUEIDENTIFIER NOT NULL ROWGUIDCOL UNIQUE DEFAULT NEWID ()) FILESTREAM_ON FileStreamGroup1; GO