PostGIS is an open-source, freely available spatial database extension for the PostgreSQL Database Management System. PostGIS adds spatial functions such as distance, area, union, intersection, and specialty geometry data types to PostgreSQL.
Take a look at these slides to learn more about spatial data types, multidimensional spatial indexing, and spatial functions.
Slides from my Introduction to PostGIS workshop at the FOSS4G conference in 2009. The material is available at http://revenant.ca/www/postgis/workshop/
Slides from my Introduction to PostGIS workshop at the FOSS4G conference in 2009. The material is available at http://revenant.ca/www/postgis/workshop/
GeoServer in Production: we do it, here is how!GeoSolutions
The presentation will describe how to setup a production system based on GeoServer from the points of view of performance, availability and security. The suggestions will start covering how a single node GeoServer should be prepared for internet usage, tuning logging, connection pools, security, data and JVM preparation, keeping disk, memory and CPU usage in check within the limits of the available resources. We’ll then move to tools used to monitor the production instances, ranging from probes to request auditing and watch-dogs. Finally the presentation will cover setting up a cluster of server and the strategies for keeping them in synch, from the traditional multi-tier setup (testing vs production) to the systems that need to keep an ever evolving catalog of layers constantly on-line and in synch.
Vector Tiles with GeoServer and OpenLayersJody Garnett
The latest release of GeoServer adds support for creating Vector Tiles in GeoJSON, TopoJSON, and MapBox Vector Tiles format through its WMS service for all the vector data formats it supports. These tiles can be cached using GeoWebCache (built into GeoServer), and served with the various tiling protocols (TMS, WMTS, and WMS-C). Thanks to very recent OpenLayers 3 development, these Vector Tiles can be easily and efficiently styled on a map.
This technical talk will look at how GeoServer makes Vector Tiles accessible through standard OGC services and how they differ from normal WMS and WFS usage. It will also look at how OpenLayers 3 - as a simple-to-use vector tiles client - interacts with GeoServer to retrieve tiles and effectively manage and style them. OpenLayer 3’s extensive style infrastructure will be investigated.
This presentation will dive into a development team’s use case for choosing MongoDB as their spatially enabled NoSQL solution. The talk will also cover how the integration of GeoServer can expand the accessibility of your data. GeoServer is the open source implementation of Open Geospatial Consortium (OGC) standards and a core component of the Geospatial Web.
Review this presentation to learn what it means to support a spatial database, and start to see the power of answering spatial questions inside a Postgres database.
QGIS Training Manual이 번역, 인쇄되어 나왔습니다. QGIS Training Manual의 번역과 감수 등에 고생하신 권용찬, 장병진, 김서인 님 등의 노고에 깊은 감사 드립니다.
책과 편집이 동일한 인쇄본 PDF는 다음 링크에서도 다운 받으실 수 있습니다.
http://open.gaia3d.com/doc/QGIS/manual/QgisTrainingManual_KR_4print.pdf
위의 출력본은 최상의 인쇄를 위해 링크 등이 제거되어 있습니다. 때문에 전자책으로 보실 분은 다음에서 받으시면 됩니다.
http://docs.qgis.org/2.2/pdf/ko/QGIS-2.2-QGISTrainingManual-ko.pdf
웹에서 보시기를 원하시면 다음의 링크를 이용하시면 됩니다.
http://docs.qgis.org/2.2/ko/docs/training_manual/
본 QGIS Training Manual의 번역, 출판은 한국오픈소스GIS포럼의 지원으로 이뤄졌으며, 이에 대해 깊은 감사 드립니다.
Java 기반의 오픈 소스 GIS 맵서버인 GeoServer 2.4 버젼 한국어 사용자 지침서입니다.
본 사용자 지침서는 한국정보통신산업진흥원(NIPA)이 시행한 공개SW커뮤니티 출판·번역지원 사업을 통해 번역, 출판되었습니다.
본 문서의 라이선스는 Creative-Commons-Attribution 3.0 Unported를 따릅니다.
How to build a highly available PostgreSQL Cluster using EDB Failover Manager?
Database downtime can cost your business significant revenue. And while PostgreSQL is incredibly stable, it does not identify a database failure or automatically switches traffic to a standby database. In such a scenario, EDB Failover Manager (EFM) can be at the forefront of automatically detecting master database failures and promoting the most up-to-date standby database to take over.
Register for this free webinar and learn how EDB Failover Manager helps you build a highly available PostgreSQL Cluster for overall business continuity.
EnterpriseDB CEO and President Ed Boyajian opened Postgres Vision 2018 with this presentation providing a look at enterprise activity in the cloud and how Postgres can extend across the IT infrastructure, from on-premises to the cloud.
GeoServer in Production: we do it, here is how!GeoSolutions
The presentation will describe how to setup a production system based on GeoServer from the points of view of performance, availability and security. The suggestions will start covering how a single node GeoServer should be prepared for internet usage, tuning logging, connection pools, security, data and JVM preparation, keeping disk, memory and CPU usage in check within the limits of the available resources. We’ll then move to tools used to monitor the production instances, ranging from probes to request auditing and watch-dogs. Finally the presentation will cover setting up a cluster of server and the strategies for keeping them in synch, from the traditional multi-tier setup (testing vs production) to the systems that need to keep an ever evolving catalog of layers constantly on-line and in synch.
Vector Tiles with GeoServer and OpenLayersJody Garnett
The latest release of GeoServer adds support for creating Vector Tiles in GeoJSON, TopoJSON, and MapBox Vector Tiles format through its WMS service for all the vector data formats it supports. These tiles can be cached using GeoWebCache (built into GeoServer), and served with the various tiling protocols (TMS, WMTS, and WMS-C). Thanks to very recent OpenLayers 3 development, these Vector Tiles can be easily and efficiently styled on a map.
This technical talk will look at how GeoServer makes Vector Tiles accessible through standard OGC services and how they differ from normal WMS and WFS usage. It will also look at how OpenLayers 3 - as a simple-to-use vector tiles client - interacts with GeoServer to retrieve tiles and effectively manage and style them. OpenLayer 3’s extensive style infrastructure will be investigated.
This presentation will dive into a development team’s use case for choosing MongoDB as their spatially enabled NoSQL solution. The talk will also cover how the integration of GeoServer can expand the accessibility of your data. GeoServer is the open source implementation of Open Geospatial Consortium (OGC) standards and a core component of the Geospatial Web.
Review this presentation to learn what it means to support a spatial database, and start to see the power of answering spatial questions inside a Postgres database.
QGIS Training Manual이 번역, 인쇄되어 나왔습니다. QGIS Training Manual의 번역과 감수 등에 고생하신 권용찬, 장병진, 김서인 님 등의 노고에 깊은 감사 드립니다.
책과 편집이 동일한 인쇄본 PDF는 다음 링크에서도 다운 받으실 수 있습니다.
http://open.gaia3d.com/doc/QGIS/manual/QgisTrainingManual_KR_4print.pdf
위의 출력본은 최상의 인쇄를 위해 링크 등이 제거되어 있습니다. 때문에 전자책으로 보실 분은 다음에서 받으시면 됩니다.
http://docs.qgis.org/2.2/pdf/ko/QGIS-2.2-QGISTrainingManual-ko.pdf
웹에서 보시기를 원하시면 다음의 링크를 이용하시면 됩니다.
http://docs.qgis.org/2.2/ko/docs/training_manual/
본 QGIS Training Manual의 번역, 출판은 한국오픈소스GIS포럼의 지원으로 이뤄졌으며, 이에 대해 깊은 감사 드립니다.
Java 기반의 오픈 소스 GIS 맵서버인 GeoServer 2.4 버젼 한국어 사용자 지침서입니다.
본 사용자 지침서는 한국정보통신산업진흥원(NIPA)이 시행한 공개SW커뮤니티 출판·번역지원 사업을 통해 번역, 출판되었습니다.
본 문서의 라이선스는 Creative-Commons-Attribution 3.0 Unported를 따릅니다.
How to build a highly available PostgreSQL Cluster using EDB Failover Manager?
Database downtime can cost your business significant revenue. And while PostgreSQL is incredibly stable, it does not identify a database failure or automatically switches traffic to a standby database. In such a scenario, EDB Failover Manager (EFM) can be at the forefront of automatically detecting master database failures and promoting the most up-to-date standby database to take over.
Register for this free webinar and learn how EDB Failover Manager helps you build a highly available PostgreSQL Cluster for overall business continuity.
EnterpriseDB CEO and President Ed Boyajian opened Postgres Vision 2018 with this presentation providing a look at enterprise activity in the cloud and how Postgres can extend across the IT infrastructure, from on-premises to the cloud.
New Approaches to Migrating from Oracle to Enterprise-Ready Postgres in the C...EDB
Join Marc Linster to learn how to build Oracle-compatible Postgres databases in the AWS cloud in minutes. Marc will cover:
- Getting started
- Migration strategies
- How to pick the migration targets
- Provisioning, scaling, and managing Postgres
- Creating highly available clusters with EDB's Cloud Database Service (CDS)
- A live migration of an Oracle database with schema, data and stored procedures to EDB Postgres
No Time to Waste: Migrate from Oracle to Postgres in MinutesEDB
Need to break free from Oracle? An open source-based DBMS like Postgres is the answer. So, what is stopping you? Discover how to migrate from Oracle to Postgres, quickly and without risk. This talk will explain how to leverage tools and technologies to convert your Oracle database to EDB Postgres with ease and offer helpful best practices, including: What challenges to look for, like complex schemas, database stored procedures and more, where to start, like self-contained databases that help free up Oracle licenses, and, when to deploy your workload on-premises or in the cloud
Learn what's new in EDB Postgres 11. This update includes a refreshed version of EDB Postgres Advanced Server, which is built on and enhances the capabilities of open source PostgreSQL 11 with new data redaction capabilities, autonomous transaction commands, and performance diagnostics.
Webinar agenda:
- An intro to EDB Postgres, including BART, EFM, and containers
- What's new with EDB Postgres 11
- Brief overview and demo of PEM 7
Don’t miss this opportunity to hear from some of the top Postgres contributors!
Postgres Databases in Minutes with the EDB Postgres Cloud Database ServiceEDB
The recently announced EDB Postgres Cloud Database Service (CDS) is a managed service, delivering enterprise-ready Oracle-compatible EDB Postgres databases on the Amazon Web Services (AWS) Cloud.
Join Marc Linster for this live webinar that will teach you how to build an on-demand Oracle-compatible Postgres database in minutes. Marc will cover:
How to provision, scale, and manage Postgres
The built-in monitoring, high availability and and backup tools
Pre-defined templates for common configurations
Marc will end the webinar with a live demo of a migration of an Oracle database to the EDB Postgres Cloud Database Service.
EDB Postgres is the same everywhere – whether used in an on-premises data center, private or public cloud computing platform – providing users with unmatched flexibility to run and move workloads as needed.
Découvrez les nouveautés d'EDB Postgres 11. Cette édition comprend une version mise à jour d'EDB Postgres Advanced Server, laquelle vient améliorer les possibilités offertes par la version open source de PostgreSQL 11, sur laquelle elle se base, en apportant de nouveaux diagnostics de performances, commandes de transactions autonomes et capacités de rédaction de données. Au programme du webinaire :
Une introduction à EDB Postgres, notamment sur BART, EFM et les conteneurs.
Les nouveautés d'EDB Postgres 11
Rapide présentation et démonstration de PEM 7
The relationships between data sets matter. Discovering, analyzing, and learning those relationships is a central part to expanding our understand, and is a critical step to being able to predict and act upon the data. Unfortunately, these are not always simple or quick tasks.
To help the analyst we introduce RAPIDS, a collection of open-source libraries, incubated by NVIDIA and focused on accelerating the complete end-to-end data science ecosystem. Graph analytics is a critical piece of the data science ecosystem for processing linked data, and RAPIDS is pleased to offer cuGraph as our accelerated graph library.
Simply accelerating algorithms only addressed a portion of the problem. To address the full problem space, RAPIDS cuGraph strives to be feature-rich, easy to use, and intuitive. Rather than limiting the solution to a single graph technology, cuGraph supports Property Graphs, Knowledge Graphs, Hyper-Graphs, Bipartite graphs, and the basic directed and undirected graph.
A Python API allows the data to be manipulated as a DataFrame, similar and compatible with Pandas, with inputs and outputs being shared across the full RAPIDS suite, for example with the RAPIDS machine learning package, cuML.
This talk will present an overview of RAPIDS and cuGraph. Discuss and show examples of how to manipulate and analyze bipartite and property graph, plus show how data can be shared with machine learning algorithms. The talk will include some performance and scalability metrics. Then conclude with a preview of upcoming features, like graph query language support, and the general RAPIDS roadmap.
With the world’s supply chain system in crisis, it’s clear that better solutions are needed. Digital twins built on knowledge graph technology allow you to achieve an end-to-end view of the process, supporting real-time monitoring of critical assets.
Managing Postgres at Scale With Postgres Enterprise ManagerEDB
Dave Page shows you how to manage large scale Postgres deployments and highlights how Postgres Enterprise Manager can be used for monitoring, alerting and administration of your Postgres estate - no matter where it is deployed.
Enhance Location-Based Insights with Additional Geocoding CapabilitiesPrecisely
Geocoding is the foundation of all location intelligence. Pinpointing the exact location of an address is the first step in uncovering what is occurring there and it’s important to understand how to leverage those insights to grow your business. As the bedrock of spatial analytics, geocodes need to be as accurate as possible to be effective.
That’s why we want you to know about the complete portfolio of geocoding solutions available from Precisely.
In addition to the accuracy and performance you have come to expect from your current product, view this on-demand webinar to learn more about new geocoding capabilities that integrate with your business processes – whether on-premises, on-demand, SaaS, API driven, or in cloud native/big data environments.
Which PostgreSQL is right for your multi cloud strategy? P2Ashnikbiz
The adoption of PostgreSQL in enterprises is becoming a strategic choice, more so with the adoption of Multi-Cloud now becoming a need for enterprise deployment. This availability creates multiple combinations of deployment options for you. So, it is important to identify the right strategy fitting into your organization’s needs.
Enterprise-class security with PostgreSQL - 2Ashnikbiz
For businesses that handle personal data everyday, the security aspect of their database is of utmost importance.
With an increasing number of hack attacks and frauds, organizations want their open source databases to be fully equipped with the top security features.
In this presentation, we explore the options that enterprises have for deploying and managing cloud databases, including:
Data and application migration strategies.
New private, public, and hybrid cloud deployment models.
Enterprise tools for data management and resiliency.
Database workflow automation with virtual machines and containers.
About the presenter:
Jamie Watt is EDB's Vice President of Global Support Services and is in charge of leading technical support, customer care, remoteDBA services, and EDB's online community platform of PostgresRocks.com.
PostgreSQL is versatile and used for a wide range of applications and use cases in the enterprise. It is more than just database technology, it is an accelerator for innovation. Much innovation today is happening in new application development, application modernization, and re-platforming to the cloud across the information architecture landscape. In this webinar, you will learn how EDB supercharges PostgreSQL to re-platform to cloud and containers more efficiently and develop new applications that are more scalable and secure.
Building a Pluggable Analytics Stack with Cassandra (Jim Peregord, Element Co...DataStax
Element Fleet has the largest benchmark database in our industry and we needed a robust and linearly scalable platform to turn this data into actionable insights for our customers. The platform needed to support advanced analytics, streaming data sets, and traditional business intelligence use cases.
In this presentation, we will discuss how we built a single, unified platform for both Advanced Analytics and traditional Business Intelligence using Cassandra on DSE. With Cassandra as our foundation, we are able to plug in the appropriate technology to meet varied use cases. The platform we’ve built supports real-time streaming (Spark Streaming/Kafka), batch and streaming analytics (PySpark, Spark Streaming), and traditional BI/data warehousing (C*/FiloDB). In this talk, we are going to explore the entire tech stack and the challenges we faced trying support the above use cases. We will specifically discuss how we ingest and analyze IoT (vehicle telematics data) in real-time and batch, combine data from multiple data sources into to single data model, and support standardized and ah-hoc reporting requirements.
About the Speaker
Jim Peregord Vice President - Analytics, Business Intelligence, Data Management, Element Corp.
This webinar will review the challenges teams face when migrating from Oracle databases to PostgreSQL. We will share insights gained from running large scale Oracle compatibility assessments over the last two years, including the over 2,200,000 Oracle DDL constructs that were assessed through EDB’s Migration Portal in 2020.
During this session we will address:
Storage definitions
Packages
Stored procedures
PL/SQL code
Proprietary database APIs
Large scale data migrations
We will end the session demonstrating migration tools that significantly simplify and aid in reducing the risk of migrating Oracle databases to PostgreSQL.
An overview of reference architectures for PostgresEDB
EDB Reference Architectures are designed to help new and existing users alike to quickly design a deployment architecture that suits their needs. They can be used as either the blueprint for a deployment, or as the basis for a design that enhances and extends the functionality and features offered.
Add-on architectures allow users to easily extend their core database server deployment to add additional features and functionality "building block" style.
In this webinar, we will review the following architectures:
- Single Node
- Multi Node with Asynchronous Replication
- Multi Node with Synchronous Replication
- Add-on Architectures
Similar to Discover PostGIS: Add Spatial functions to PostgreSQL (20)
Cloud Migration Paths: Kubernetes, IaaS, or DBaaSEDB
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.
Die 10 besten PostgreSQL-Replikationsstrategien für Ihr UnternehmenEDB
Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsansätzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich über die Möglichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich für Ihr System benötigen.
- Wie physische und logische Replikation in PostgreSQL funktionieren
- Unterschiede zwischen synchroner und asynchroner Replikation
- Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation
- Welche Replikationsstrategie für unterschiedliche Use-Cases besser geeignet ist
Referent:
Borys Neselovskyi, Regional Sales Engineer DACH, EDB
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For more #webinars, visit http://bit.ly/EDB-Webinars
Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers
Read our #Postgres Blog http://bit.ly/EDB-Blogs
Follow us on Facebook at http://bit.ly/EDB-FB
Follow us on Twitter at http://bit.ly/EDB-Twitter
Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn
Reach us via email at marketing@enterprisedb.com
Cuando busca alternativas a Oracle en la nube, hacer el cambio puede parecer un trabajo duro. Entendemos que la migración involucra más que solo la base de datos. La compatibilidad es un punto clave, especialmente cuando se consideran los recursos que posiblemente ya haya invertido en Oracle, como por ejemplo el código de aplicación específico de Oracle.Este seminario web explorará las opciones y las principales consideraciones al pasar de las bases de datos de Oracle a la nube.
- Revisión detallada de las ofertas de bases de datos disponibles en la nube
- Factores críticos que se deben considerar considerar para elegir la oferta en la nube más adecuada
- Cómo la experiencia de EDB con PostgreSQL puede ayudarlo en su decisión
- Demostración de BigAnimal de EDB
Présentateur:
Sergio Romera, Senior Sales Engineer EMEA, EDB
------------------------------------------------------------
For more #webinars, visit http://bit.ly/EDB-Webinars
Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers
Read our #Postgres Blog http://bit.ly/EDB-Blogs
Follow us on Facebook at http://bit.ly/EDB-FB
Follow us on Twitter at http://bit.ly/EDB-Twitter
Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn
Reach us via email at marketing@enterprisedb.com
Database come PostgreSQL non possono girare su Kubernetes. Questo è il ritornello che sentiamo continuamente, ma al tempo stesso la motivazione per noi di EDB di abbattere questo muro, una volta per tutte.
In questo webinar parleremo della nostra avventura finora per portare PostgreSQL su Kubernetes. Scopri perché crediamo che fare benchmark di storage e del database prima di andare in produzione porti a una più sana e longeva vita di un DBMS, anche su Kubernetes.
Condivideremo il nostro processo, i risultati fin qui ottenuti e sveleremo i nostri piani per il futuro con Cloud Native PostgreSQL.
Las Variaciones de la Replicación de PostgreSQLEDB
Replicación física, replicación lógica, síncrona, asíncrona, multi-maestro, escalabilidad horizontal, etc. Son muchos los términos asociados con la replicación de bases de datos. En esta charla revisaremos los conceptos fundamentales detrás de cada variación de la replicación de PostgreSQL, y en qué casos conviene usar una o la otra. La presentación incluye una parte práctica con demostraciones aunque no será un tutorial sobre como configurar un cluster. El enfoque está en entender cada variación para elegir la mejor dependiendo del caso de uso.
Cosas que aprenderán:
- Cómo funciona la replicación física en PostgreSQL
- Cómo funciona la replicación lógica en PostgreSQL
- Diferencias entre replicación síncrona y asíncrona
- Qué es replicación multi-maestro
NoSQL and Spatial Database Capabilities using PostgreSQLEDB
PostgreSQL is an object-relational database system. NoSQL on the other hand is a non-relational database and is document-oriented. Learn how the PostgreSQL database gives one the flexible options to combine NoSQL workloads with the relational query power by offering JSON data types. With PostgreSQL, new capabilities can be developed and plugged into the database as required.
Attend this webinar to learn:
- The new features and capabilities in PostgreSQL for new workloads, requiring greater flexibility in the data model
- NoSQL with JSON, Hstore and its performance and features for enterprises
- Spatial SQL - advanced features in PostGIS application with PostGIS extension
"Why use PgBouncer? It’s a lightweight, easy to configure connection pooler and it does one job well. As you’d expect from a talk on connection pooling, we’ll give a brief summary of connection pooling and why it increases efficiency. We’ll look at when not to use connection pooling, and we’ll demonstrate how to configure PgBouncer and how it works. But. Did you know you can also do this? 1. Scaling PgBouncer PgBouncer is single threaded which means a single instance of PgBouncer isn’t going to do you much good on a multi-threaded and/or multi-CPU machine. We’ll show you how to add more PgBouncer instances so you can use more than one thread for easy scaling. 2. Read-write / read only routing Using different pgBouncer databases you can route read-write traffic to the primary database and route read-only traffic to a number of standby databases. 3. Load balancing When we use multiple PgBouncer instances, load balancing comes for free. Load balancing can be directed to different standbys, and weighted according to ratios of load. 4. Silent failover You can perform silent failover during promotion of a new primary (assuming you have a VIP/DNS etc that always points to the primary). 5. And even: DoS prevention and protection from “badly behaved” applications! By using distinct port numbers you can provide database connections which deal with sudden bursts of incoming traffic in very different ways, which can help prevent the database from becoming swamped during high activity periods. You should leave the presentation wondering if there is anything PgBouncer can’t do."
In this talk I'll discuss how we can combine the power of PostgreSQL with TensorFlow to perform data analysis. By using the pl/python3 procedural language we can integrate machine learning libraries such as TensorFlow with PostgreSQL, opening the door for powerful data analytics combining SQL with AI. Typical use-cases might involve regression analysis to find relationships in an existing dataset and to predict results based on new inputs, or to analyse time series data and extrapolate future data taking into account general trends and seasonal variability whilst ignoring noise. Python is an ideal language for building custom systems to do this kind of work as it gives us access to a rich ecosystem of libraries such as Pandas and Numpy, in addition to TensorFlow itself.
Practical Partitioning in Production with PostgresEDB
Has your table become too large to handle? Have you thought about chopping it up into smaller pieces that are easier to query and maintain? What if it's in constant use? An introduction to the problems that can arise and how PostgreSQL's partitioning features can help, followed by a real-world scenario of partitioning an existing huge table on a live system. We will be looking at the problems caused by having very large tables in your database and how declarative table partitioning in Postgres can help. Also, how to perform dimensioning before but also after creating huge tables, partitioning key selection, the importance of upgrading to get the latest Postgres features and finally we will dive into a real-world scenario of having to partition an existing huge table in use on a production system.
There have been plenty of “explaining EXPLAIN” type talks over the years, which provide a great introduction to it. They often also cover how to identify a few of the more common issues through it. EXPLAIN is a deep topic though, and to do a good introduction talk, you have to skip over a lot of the tricky bits. As such, this talk will not be a good introduction to EXPLAIN, but instead a deeper dive into some of the things most don’t cover. The idea is to start with some of the more complex and unintuitive calculations needed to work out the relationships between operations, rows, threads, loops, timings, buffers, CTEs and subplans. Most popular tools handle at least several of these well, but there are cases where they don’t that are worth being conscious of and alert to. For example, we’ll have a look at whether certain numbers are averaged per-loop or per-thread, or both. We’ll also cover a resulting rounding issue or two to be on the lookout for. Finally, some per-operation timing quirks are worth looking out for where CTEs and subqueries are concerned, for example CTEs that are referenced more than once. As time allows, we can also look at a few rarer issues that can be spotted via EXPLAIN, as well as a few more gotchas that we’ve picked up along the way. This includes things like spotting when the query is JIT, planning, or trigger time dominated, spotting the signs of table and index bloat, issues like lossy bitmap scans or index-only scans fetching from the heap, as well as some things to be aware of when using auto_explain.
Internet of Things is a currently a burgeoning market, and is often associated with specialized data-stores. However PostgreSQL is just as capable at this use-case and can offer some compelling advantages. We’ll explore ways to store IoT data in PostgreSQL covering various ways to store and structure this kind of data. How range types and differing types of indexes can be of use. Also taking a quick look at some extensions designed for this use case. Then looking at powerful SQL features which can really help when analyzing IoT data streams, and how the power of a real SQL database can be a key advantage.
I would like you to join me on our journey from a complex, multi instance Oracle topology to a single logical database in PostgreSQL. Each technology and architectural decision point will be discussed describing how we arrived at our destination. There are five keys areas that will be covered: - Target architecture - Migration of database objects (tables, indexes, views, synonyms, etc) - Migration of database code (packages, functions, procedures, triggers) - Application tier - Migration of Data - with minimal downtime during cutover The target architecture is a BDR cluster, where the physical data model and data stored is different between the logical standbys and the lead master/shadow master. Will discuss how this allowed for the simplification of the topology, and the benefits this delivered. Before you go there, yes I know PostgreSQL does no have synonyms, but an alternative approach was needed. There is a significant amount of business logic in the database tier all of which needed to be translated into database code. Will look at the tools and extensions available to reproduce the functionality in PostgreSQL. Look at common non-ISO standard SQL embedded in the application tier, along with jdbc challenges. Finally a look at some of the data movement tools available. Full disclosure, we are still on the journey but have learnt a lot on the way.
The proposed talk will go through several questions. The first obvious one is why would I bother learn CLI when I can do whatever I need with a GUI tool?
We'll try to answer why knowing CLI is a MUST for some people (like Postgres DBAs, for example) whereas it's only a bonus for others (like data scientists, for example).
Then we'll go through the basics about 101 (how to connect to, interactive mode versus not interactive more, how to set psql environment to work comfortably and so on...)
The last part will be about tips and tricks that will make anyone's journey with psql more effective and enjoyable. I'm looking for the "TIL" effect in people's eyes.
EDB 13 - New Enhancements for Security and Usability - APJEDB
Database security is always of paramount importance to all organizations. In this webinar, we will explore the security, usability, and portability updates of the latest version of the EDB database server and tools.
Join us in this webinar to learn:
- The new security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents
- Usability updates that automate partitioning, verify backup integrity, and streamline the management of failover and backups
- Portability improvements that simplify running PostgreSQL across on-premise and cloud environments
Dans ce webinar, nous allons parler des différences entre une sauvegarde physique et une sauvegarde logique. Nous allons lister les avantages et inconvénients, les principales considérations et les outils disponibles pour les deux méthodes.
- Perte de données
- Exports logiques
- Standbys
- WALs et Recovery
- Snapshots VM/Disques
- Sauvegardes physique
- Conclusion
Vieni a scoprire Cloud Native PostgreSQL (CNP), l’operatore per Kubernetes, direttamente da coloro che lo hanno ideato e lo sviluppano in EDB.
CNP facilita l’integrazione di database PostgreSQL con le tue applicazioni all’interno di cluster Kubernetes e OpenShift Container Platform di RedHat, grazie alla sua gestione automatica dell’architettura primario/standby che include: self-healing, failover, switchover, rolling update, backup, ecc.
Durante il webinar affronteremo i seguenti punti:
- DevOps e Cloud Native
- Introduzione a Cloud Native PostgreSQL
- Architetture
- Caratteristiche principali
- Esempi di uso e configurazione
- Kubernetes, Storage e Postgres
- Demo
- Conclusioni
New enhancements for security and usability in EDB 13EDB
EDB 13 enhances our flagship database server and tools. This webinar will explore its security, usability, and portability updates. Join us to learn how EDB 13 can help you improve your PostgreSQL productivity and data protection.
Webinar highlights include:
- New security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents
- Usability updates that automate partitioning, verify backup integrity and streamline the management of failover and backups
- Portability improvements that simplify running PostgreSQL across on-premise and cloud environments
The webinar will review a multi-layered framework for PostgreSQL security, with a deeper focus on limiting access to the database and data, as well as securing the data.
Using the popular AAA (Authentication, Authorization, Auditing) framework we will cover:
- Best practices for authentication (trust, certificate, MD5, Scram, etc).
- Advanced approaches, such as password profiles.
- Deep dive of authorization and data access control for roles, database objects (tables, etc), view usage, row-level security, and data redaction.
- Auditing, encryption, and SQL injection attack prevention.
Note: this session is delivered in German
Speaker:
Borys Neselovskyi, Sales Engineer, EDB
EDB Cloud Native Postgres includes database container images and a Kubernetes Operator that manage the lifecycle of a database from deployment to operations. This Kubernetes Operator for Postgres is written by EDB entirely from scratch in the Go language and relies exclusively on the Kubernetes API.
Attend this webinar to learn about:
- DevOps & Cloud Native
- Overview of Cloud Native Postgres
- Storage for Postgres workloads in Kubernetes
- Using Cloud Native Postgres
- Demo
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP