Jeff Yemin will host a webinar covering the design and major features of Morphia, an Object Document Mapper (ODM) for Java and MongoDB. This webinar will start with a short introduction to MongoDB and the various options for building MongoDB applications on the JVM before taking a deep dive into Morphia. Morphia will be presented as an extended example format that demonstrates, for each feature, the domain model, a test driver, and the results as they appear in MongoDB.
Webinar: MongoDB Persistence with Java and MorphiaMongoDB
MongoDB is the leading noSQL database and as with any new technology, some of the biggest questions are about tools and integration. This webinar will cover how to use MongoDB from a Java application and introduce Morphia, the object document mapping library. It will cover the essential features of the framework with examples before moving on to some of the more advanced and upcoming features such as text search and aggregation framework support.
Liferay Mobile SDK has been enabling developers to create native apps backed by Liferay Portal’s power. We’ve been using it in production since 2013 and have noticed many improvement points. We also listened to the community and added new features that will make app development even faster. The new Liferay Mobile SDK for Android brings a lot of new features that boosts apps development. Things from automatic JSON parsing and RxJava compatibility to better code generation are ones of the improvements in this new major release.
Webinar: MongoDB Persistence with Java and MorphiaMongoDB
MongoDB is the leading noSQL database and as with any new technology, some of the biggest questions are about tools and integration. This webinar will cover how to use MongoDB from a Java application and introduce Morphia, the object document mapping library. It will cover the essential features of the framework with examples before moving on to some of the more advanced and upcoming features such as text search and aggregation framework support.
Liferay Mobile SDK has been enabling developers to create native apps backed by Liferay Portal’s power. We’ve been using it in production since 2013 and have noticed many improvement points. We also listened to the community and added new features that will make app development even faster. The new Liferay Mobile SDK for Android brings a lot of new features that boosts apps development. Things from automatic JSON parsing and RxJava compatibility to better code generation are ones of the improvements in this new major release.
Java Persistence Frameworks for MongoDBTobias Trelle
After a short introduction to the MongoDB Java driver we'll have a detailed look at higher level persistence frameworks like Morphia, Spring Data MongoDB and Hibernate OGM with lots of examples.
After a short introduction to the Java driver for MongoDB, we'll have a look at the more abtract persistence frameworks like Morphia, Spring Data, Jongo and Hibernate OGM.
In this presentation, Amit explains querying with MongoDB in detail including Querying on Embedded Documents, Geospatial indexing and Querying etc.
The tutorial includes a recap of MongoDB, the wrapped queries, queries which are using modifiers, Upsert (saving/ updating queries), updating multiple documents at once, etc. Moreover, it gives a brief explanation about specifying which keys to return, the AND/OR queries, querying on embedded documents, cursors and Geospatial indexing. The tutorial begins with a section about MongoDB which includes steps to install and start MongoDB, to show and select Database, to drop collection and database, steps to insert a document and get up to 20 matching documents. Furthermore, it also includes steps to store and use Javascript functions on the server side.
The next section after the MongoDB section is about wrapped queries and queries using modifiers which includes the types of wrapped queries which are used like LikeQuery, SortQuery, LimitQuery, SkipQuery. It also includes the types of queries using modifiers like NotEqualModifier, Greater/Lesser modifier, Increment Modifier, Set Modifier, Unset Modifier, Push Modifier etc. Then comes the section about Upsert (Save or update). There are steps mentioned for saving or updating queries in this section.
At the same time, there are steps to update multiple documents altogether. The next section which is called “specifying which keys to return” talks about ways to specify the keys the user wants. After this section comes OR/AND query. It informs us about the general steps to do an OR query. Also, it includes the general steps to do an AND query. After this section comes another section called “querying on embedded document” which tells the user about ways of querying for an embedded document.
One of the important sections of this tutorial is about cursors, uses of a cursor and also methods to chain additional options onto a query before it is performed. Following is a section about indexing which talks about indexing as a term and how indexing helps in improving the query’s speed. At the end is a section which gives a brief explanation on geospatial indexing which is another type of query that became common with the emergence of mobile devices. Also, it includes the ways geospatial queries can be performed.
MongoDB + Java - Everything you need to know Norberto Leite
Learn everything you need to know to get started building a MongoDB-based app in Java. We'll explore the relationship between MongoDB and various languages on the Java Virtual Machine such as Java, Scala, and Clojure. From there, we'll examine the popular frameworks and integration points between MongoDB and the JVM including Spring Data and object-document mappers like Morphia.
Quando uma aplicação começa a ficar grande e complexa, fazer buscas nos seus models torna-se uma tarefa complicada. Efetuar as buscas diretamente no banco de dados é um processo lento, ineficiente e que permite pouca ou nenhuma maleabilidade sobre a forma com que a busca é feita. Surge então o ElasticSearch, uma engine de busca utilizada por empresas como Github, Twitter e 4square para indexar e buscar literalmente milhões de documentos em tempo real. Nessa palestra, explicarei quando, como e porque utilizar o ElasticSearch para facilmente indexar e efetuar buscas complexas nos seus models.
This talk is focused on tuning analysing and optimizing MongoDB query and index with the use of Database Profiler and "explain()" function.
Also, performance of database can also be impacted by configuring the underline ( Linux ) OS with some recommended settings which do not come by default.
Jan Stępień - GraalVM: Fast, Polyglot, Native - Codemotion Berlin 2018Codemotion
GraalVM challenges the status quo on the JVM. This newly-released JIT compiler brings substantial speed improvements and support for polyglot applications. It also allows us to translate our JVM bytecode into self-contained native binaries. In this session we’ll explore GraalVM’s potential. We’ll focus on Clojure, but our discussion will apply to many more programming languages. We’ll use GraalVM to build small native binaries. We’ll discuss the method’s limitations and their impact. Finally, we’ll build complete Clojure web apps weighing a fraction of their traditional JVM incarnations.
Java Persistence Frameworks for MongoDBTobias Trelle
After a short introduction to the MongoDB Java driver we'll have a detailed look at higher level persistence frameworks like Morphia, Spring Data MongoDB and Hibernate OGM with lots of examples.
After a short introduction to the Java driver for MongoDB, we'll have a look at the more abtract persistence frameworks like Morphia, Spring Data, Jongo and Hibernate OGM.
In this presentation, Amit explains querying with MongoDB in detail including Querying on Embedded Documents, Geospatial indexing and Querying etc.
The tutorial includes a recap of MongoDB, the wrapped queries, queries which are using modifiers, Upsert (saving/ updating queries), updating multiple documents at once, etc. Moreover, it gives a brief explanation about specifying which keys to return, the AND/OR queries, querying on embedded documents, cursors and Geospatial indexing. The tutorial begins with a section about MongoDB which includes steps to install and start MongoDB, to show and select Database, to drop collection and database, steps to insert a document and get up to 20 matching documents. Furthermore, it also includes steps to store and use Javascript functions on the server side.
The next section after the MongoDB section is about wrapped queries and queries using modifiers which includes the types of wrapped queries which are used like LikeQuery, SortQuery, LimitQuery, SkipQuery. It also includes the types of queries using modifiers like NotEqualModifier, Greater/Lesser modifier, Increment Modifier, Set Modifier, Unset Modifier, Push Modifier etc. Then comes the section about Upsert (Save or update). There are steps mentioned for saving or updating queries in this section.
At the same time, there are steps to update multiple documents altogether. The next section which is called “specifying which keys to return” talks about ways to specify the keys the user wants. After this section comes OR/AND query. It informs us about the general steps to do an OR query. Also, it includes the general steps to do an AND query. After this section comes another section called “querying on embedded document” which tells the user about ways of querying for an embedded document.
One of the important sections of this tutorial is about cursors, uses of a cursor and also methods to chain additional options onto a query before it is performed. Following is a section about indexing which talks about indexing as a term and how indexing helps in improving the query’s speed. At the end is a section which gives a brief explanation on geospatial indexing which is another type of query that became common with the emergence of mobile devices. Also, it includes the ways geospatial queries can be performed.
MongoDB + Java - Everything you need to know Norberto Leite
Learn everything you need to know to get started building a MongoDB-based app in Java. We'll explore the relationship between MongoDB and various languages on the Java Virtual Machine such as Java, Scala, and Clojure. From there, we'll examine the popular frameworks and integration points between MongoDB and the JVM including Spring Data and object-document mappers like Morphia.
Quando uma aplicação começa a ficar grande e complexa, fazer buscas nos seus models torna-se uma tarefa complicada. Efetuar as buscas diretamente no banco de dados é um processo lento, ineficiente e que permite pouca ou nenhuma maleabilidade sobre a forma com que a busca é feita. Surge então o ElasticSearch, uma engine de busca utilizada por empresas como Github, Twitter e 4square para indexar e buscar literalmente milhões de documentos em tempo real. Nessa palestra, explicarei quando, como e porque utilizar o ElasticSearch para facilmente indexar e efetuar buscas complexas nos seus models.
This talk is focused on tuning analysing and optimizing MongoDB query and index with the use of Database Profiler and "explain()" function.
Also, performance of database can also be impacted by configuring the underline ( Linux ) OS with some recommended settings which do not come by default.
Jan Stępień - GraalVM: Fast, Polyglot, Native - Codemotion Berlin 2018Codemotion
GraalVM challenges the status quo on the JVM. This newly-released JIT compiler brings substantial speed improvements and support for polyglot applications. It also allows us to translate our JVM bytecode into self-contained native binaries. In this session we’ll explore GraalVM’s potential. We’ll focus on Clojure, but our discussion will apply to many more programming languages. We’ll use GraalVM to build small native binaries. We’ll discuss the method’s limitations and their impact. Finally, we’ll build complete Clojure web apps weighing a fraction of their traditional JVM incarnations.
Slides to the Hands On Spring Data lab, presented in Paris on Dec 10th, 2012. Code exercises are here: https://github.com/ericbottard/hands-on-spring-data
Tutorial on developing a Solr search component pluginsearchbox-com
In this set of slides we give a step by step tutorial on how to develop a fully functional solr search component plugin. Additionally we provide links to full source code which can be used as a template to rapidly start creating your own search components.
This talk will introduce the philosophy and features of the open source, NoSQL MongoDB. We’ll discuss the benefits of the document-based data model that MongoDB offers by walking through how one can build a simple app to store books. We’ll cover inserting, updating, and querying the database of books.
Learn everything you need to know to get started building a MongoDB-based app in Java. We'll explore the relationship between MongoDB and various languages on the Java Virtual Machine such as Java, Scala, and Clojure. From there, we'll examine the popular frameworks and integration points between MongoDB and the JVM including Spring Data and object-document mappers like Morphia.
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
During this talk we'll navigate through a customer's journey as they migrate an existing MongoDB deployment to MongoDB Atlas. While the migration itself can be as simple as a few clicks, the prep/post effort requires due diligence to ensure a smooth transfer. We'll cover these steps in detail and provide best practices. In addition, we’ll provide an overview of what to consider when migrating other cloud data stores, traditional databases and MongoDB imitations to MongoDB Atlas.
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
MongoDB Kubernetes operator and MongoDB Open Service Broker are ready for production operations. Learn about how MongoDB can be used with the most popular container orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications. A demo will show you how easy it is to enable MongoDB clusters as an External Service using the Open Service Broker API for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
Humana, like many companies, is tackling the challenge of creating real-time insights from data that is diverse and rapidly changing. This is our journey of how we used MongoDB to combined traditional batch approaches with streaming technologies to provide continues alerting capabilities from real-time data streams.
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB
Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe.
This talk covers:
Common components of an IoT solution
The challenges involved with managing time-series data in IoT applications
Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance.
How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts
At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB
Encryption is not a new concept to MongoDB. Encryption may occur in-transit (with TLS) and at-rest (with the encrypted storage engine). But MongoDB 4.2 introduces support for Client Side Encryption, ensuring the most sensitive data is encrypted before ever leaving the client application. Even full access to your MongoDB servers is not enough to decrypt this data. And better yet, Client Side Encryption can be enabled at the "flick of a switch".
This session covers using Client Side Encryption in your applications. This includes the necessary setup, how to encrypt data without sacrificing queryability, and what trade-offs to expect.
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
MongoDB Kubernetes operator is ready for prime-time. Learn about how MongoDB can be used with most popular orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications.
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way, NoSQL databases can be the best option. Come to this talk to learn how to take advantage of all that NoSQL databases have to offer and discover the benefits of changing your mindset from the legacy, tabular way of modeling data. We’ll compare and contrast the terms and concepts in SQL databases and MongoDB, explain the benefits of using MongoDB compared to SQL databases, and walk through data modeling basics so you feel confident as you begin using MongoDB.
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
Query performance should be the unsung hero of an application, but without proper configuration, can become a constant headache. When used properly, MongoDB provides extremely powerful querying capabilities. In this session, we'll discuss concepts like equality, sort, range, managing query predicates versus sequential predicates, and best practices to building multikey indexes.
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
Aggregation pipeline has been able to power your analysis of data since version 2.2. In 4.2 we added more power and now you can use it for more powerful queries, updates, and outputting your data to existing collections. Come hear how you can do everything with the pipeline, including single-view, ETL, data roll-ups and materialized views.
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB
MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business.
This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms.
How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms?
In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
aux Core Data, appréciée par des centaines de milliers de développeurs. Apprenez ce qui rend Realm spécial et comment il peut être utilisé pour créer de meilleures applications plus rapidement.
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $.
La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.
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
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.
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.
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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
36. Small schema change (model)
abstract class Member {
@Id String userName;
@Property("memberSince") Date since;
boolean active;
String name;
}
@Entity("programmers")
class Programmer extends Member {
int followers;
List<String> following;
}
@Entity("orgs")
class Organization extends Member {
}
@Entity("repos")
class Repository {
@Id ObjectId id;
@Reference Member owner;
String name;
@Reference(lazy=true) Repository forkedFrom;
}
37. Small schema change (test)
Programmer scott = new Programmer();
//…
ds.save(scott);
// save mongodb Organization
Organization mongodb = new Organization("mongodb",
"mongodb", sdf.parse("Jan 8, 2009"));
ds.save(mongodb);
// save mongodb's docs Repository
Repository mongoDocs = new Repository(mongodb, "docs");
ds.save(mongoDocs);
// save Scott's forked docs Repository
Repository scottDocs = new Repository(scott, "docs",
mongoDocs);
ds.save(scottDocs);
50. @Indexed
• Annotation for fields
– value (IndexDirection)
– name (String)
– unique (boolean)
– dropDups (boolean)
– background (boolean)
– sparse (boolean)
• Examples
– @Indexed(value=IndexDirection.ASC, name="followers") int followers;
– @Indexed @Reference Repository forkedFrom;
51. @Indexes and @Index
• @Indexes: Annotation for types
– value (Index[])
• @Index
– value (String)
– Others same as @Indexed
• Examples
– @Indexes(@Index("since, -followers")) public class
Programmer {…}
53. Updating with save (test)
Programmer jeff = createJeff();
ds.save(jeff);
// jeff is following scott, so increment
// scott's followers and re-save
Programmer scott = ds.get(Programmer.class,
"scotthernandez")
scott.followers++;
ds.save(scott);
56. Optimistic Concurrency (model)
@Entity
public abstract class Member {
@Id String userName;
@Property("memberSince") Date since;
boolean active;
String name;
@Version Long version;
}
61. Web Resources
• Morphia home: http://code.google.com/p/morphia/
• Morphia user group:
https://groups.google.com/forum/?fromgroups#!forum/morphia
• Demo code: https://github.com/jyemin/morphia-demo
– Separate commit and tag for each slide, so you can play
along
Builds on the java driver"test" is the name of a database'
NameEmilMember SinceFollowersRespositories
No annotations. Pure POJO
1. Save will insert or update
Collection name defaults to class name_id is generated as an ObjectIdclassName has the full class name, including package. Used for polymorphic collectionCan you query for base class? How?
1. Morphia will generate an id and stuff it in the field annotated with @Id
1. If you already have a unique id, you should use it as your @Id
1. Morphia won't generate these for you
1. If you just use @Entity, it defaults the collection name to the class name.
Note the collection name
Let's switch it up. Instead of embedding the repos in the programmer, let's have repos as top-level docs that reference owner by key
Get by primary keyShortcut for getting by a single propertyLongcut, same as above but extensible
1. Note the weird syntax to make followers descending
Note that to update followers, we updated everything…Point out the problems with this