The document provides an overview of NoSQL databases, describing different types including key-value stores, document databases, wide column stores, graph databases, and data structure servers. It explains the common features of NoSQL databases like not being fully ACID compliant but offering high performance, and being schema-free with standardized interfaces. Examples are given of popular databases for each type along with descriptions of their data models and functionality.
Dev Jumpstart: Schema Design Best PracticesMongoDB
New to MongoDB? We’ll discuss the tradeoff of various data modeling strategies in MongoDB. This talk will jumpstart your knowledge of how to work with documents, evolve your schema, and common schema design patterns. MongoDB’s basic unit of storage is a document. No prior knowledge of MongoDB is assumed.
MongoDB’s basic unit of storage is a document. Documents can represent rich, schema-free data structures, meaning that we have several viable alternatives to the normalized, relational model. In this talk, we’ll discuss the tradeoff of various data modeling strategies in MongoDB.
NoSQL databases only unfold their entire strength when also embracing the their concepts regarding usage and schema design. These slides give some overview of features and concepts of MongoDB.
Dev Jumpstart: Schema Design Best PracticesMongoDB
New to MongoDB? We’ll discuss the tradeoff of various data modeling strategies in MongoDB. This talk will jumpstart your knowledge of how to work with documents, evolve your schema, and common schema design patterns. MongoDB’s basic unit of storage is a document. No prior knowledge of MongoDB is assumed.
MongoDB’s basic unit of storage is a document. Documents can represent rich, schema-free data structures, meaning that we have several viable alternatives to the normalized, relational model. In this talk, we’ll discuss the tradeoff of various data modeling strategies in MongoDB.
NoSQL databases only unfold their entire strength when also embracing the their concepts regarding usage and schema design. These slides give some overview of features and concepts of MongoDB.
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...MongoDB
In this session, we'll examine schema design insights and trade-offs using real world examples. We'll look at three example applications: building an email inbox, selecting a shard key for a large scale web application, and using MongoDB to store user profiles. From these examples you should leave the session with an idea of the advantages and disadvantages of various approaches to modeling your data in MongoDB. Attendees should be well versed in basic schema design and familiar with concepts in the morning's basic schema design talk. No beginner topics will be covered in this session.
Relational databases are central to web applications, but they have also been the primary source of pain when it comes to scale and performance. Recently, non-relational databases (also referred to as NoSQL) have arrived on the scene. This session explains not only what MongoDB is and how it works, but when and how to gain the most benefit.
Webinar: General Technical Overview of MongoDB for Dev TeamsMongoDB
In this talk we will focus on several of the reasons why developers have come to love the richness, flexibility, and ease of use that MongoDB provides. First we will give a brief introduction of MongoDB, comparing and contrasting it to the traditional relational database. Next, we’ll give an overview of the APIs and tools that are part of the MongoDB ecosystem. Then we’ll look at how MongoDB CRUD (Create, Read, Update, Delete) operations work, and also explore query, update, and projection operators. Finally, we will discuss MongoDB indexes and look at some examples of how indexes are used.
Building a complete social networking platform presents many challenges at scale. Socialite is a reference architecture and open source Java implementation of a scalable social feed service built on DropWizard and MongoDB. We'll provide an architectural overview of the platform, explaining how you can store an infinite timeline of data while optimizing indexing and sharding configuration for access to the most recent window of data. We'll also dive into the details of storing a social user graph in MongoDB.
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.
MongoDB .local Chicago 2019: Aggregation Pipeline Power++: How MongoDB 4.2 Pi...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 Toronto 2019: Aggregation Pipeline Power++: How MongoDB 4.2 Pi...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.
This talk examines four real-world use cases for MongoDB document-based data modeling. We examine the implications of several possible solutions for each problem.
Modeling JSON data for NoSQL document databasesRyan CrawCour
Modeling data in a relational database is easy, we all know how to do it because that's what we've always been taught; But what about NoSQL Document Databases?
Document databases take (much) of what you know and flip it upside down. This talk covers some common patterns for modeling data and how to approach things when working with document stores such as Azure DocumentDB
Media owners are turning to MongoDB to drive social interaction with their published content. The way customers consume information has changed and passive communication is no longer enough. They want to comment, share and engage with publishers and their community through a range of media types and via multiple channels whenever and wherever they are. There are serious challenges with taking this semi-structured and unstructured data and making it work in a traditional relational database. This webinar looks at how MongoDB’s schemaless design and document orientation gives organisation’s like the Guardian the flexibility to aggregate social content and scale out.
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...MongoDB
In this session, we'll examine schema design insights and trade-offs using real world examples. We'll look at three example applications: building an email inbox, selecting a shard key for a large scale web application, and using MongoDB to store user profiles. From these examples you should leave the session with an idea of the advantages and disadvantages of various approaches to modeling your data in MongoDB. Attendees should be well versed in basic schema design and familiar with concepts in the morning's basic schema design talk. No beginner topics will be covered in this session.
Relational databases are central to web applications, but they have also been the primary source of pain when it comes to scale and performance. Recently, non-relational databases (also referred to as NoSQL) have arrived on the scene. This session explains not only what MongoDB is and how it works, but when and how to gain the most benefit.
Webinar: General Technical Overview of MongoDB for Dev TeamsMongoDB
In this talk we will focus on several of the reasons why developers have come to love the richness, flexibility, and ease of use that MongoDB provides. First we will give a brief introduction of MongoDB, comparing and contrasting it to the traditional relational database. Next, we’ll give an overview of the APIs and tools that are part of the MongoDB ecosystem. Then we’ll look at how MongoDB CRUD (Create, Read, Update, Delete) operations work, and also explore query, update, and projection operators. Finally, we will discuss MongoDB indexes and look at some examples of how indexes are used.
Building a complete social networking platform presents many challenges at scale. Socialite is a reference architecture and open source Java implementation of a scalable social feed service built on DropWizard and MongoDB. We'll provide an architectural overview of the platform, explaining how you can store an infinite timeline of data while optimizing indexing and sharding configuration for access to the most recent window of data. We'll also dive into the details of storing a social user graph in MongoDB.
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.
MongoDB .local Chicago 2019: Aggregation Pipeline Power++: How MongoDB 4.2 Pi...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 Toronto 2019: Aggregation Pipeline Power++: How MongoDB 4.2 Pi...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.
This talk examines four real-world use cases for MongoDB document-based data modeling. We examine the implications of several possible solutions for each problem.
Modeling JSON data for NoSQL document databasesRyan CrawCour
Modeling data in a relational database is easy, we all know how to do it because that's what we've always been taught; But what about NoSQL Document Databases?
Document databases take (much) of what you know and flip it upside down. This talk covers some common patterns for modeling data and how to approach things when working with document stores such as Azure DocumentDB
Media owners are turning to MongoDB to drive social interaction with their published content. The way customers consume information has changed and passive communication is no longer enough. They want to comment, share and engage with publishers and their community through a range of media types and via multiple channels whenever and wherever they are. There are serious challenges with taking this semi-structured and unstructured data and making it work in a traditional relational database. This webinar looks at how MongoDB’s schemaless design and document orientation gives organisation’s like the Guardian the flexibility to aggregate social content and scale out.
After a brief introduction into the history of Database Management Systems different types of NoSQL data stores are characterized. Theoretical background information about sharding mechanisms, horizontal scaling and the CAP theorem are getting explained.
After a comparison of different NoSQL stores you will get to know the pros and cons of the different approaches and you will learn how to take the decision for the best fitting database in your project.
MongoDB, PHP and the cloud - php cloud summit 2011Steven Francia
An introduction to using MongoDB with PHP.
Walking through the basics of schema design, connecting to a DB, performing CRUD operations and queries in PHP.
MongoDB runs great in the cloud, but there are some things you should know. In this session we'll explore scaling and performance characteristics of running Mongo in the cloud as well as best practices for running on platforms like Amazon EC2.
OSDC 2012 | Scaling with MongoDB by Ross LawleyNETWAYS
MongoDB's architecture features built-in support for horizontal scalability, and high availability through replica sets. Auto-sharding allows users to easily distribute data across many nodes. Replica sets enable automatic failover and recovery of database nodes within or across data centers. This session will provide an introduction to scaling with MongoDB by one of the developers working on the project.
Yet another talk :)
This time in a lecture called “Markup Languages und Anwendungen”
Went pretty ok, but as usual I talked a little bit too fast ^_^
http://www.marc-seeger.de
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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
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/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
2. Who? Why?
● During studies: Excited by simplicity
● Crawler Project:
○ 100 Million records
○ Single server
○ 100+ QPS
○ Initially: Limited query options
○ Now: Query them all
○ Experimented with all of them as a backend
4. What do they often have in common
● Most of them:
○ Not 100% ACID compliant (but fast!)
○ Standardized interfaces (http, protocol buffers, ...)
○ Schema free
○ Open source
● The distributed ones:
○ Eventual consistency
○ Scaling is easy (no, really!)
6. Key Value Stores
- Data model is an associative array (aka: hash / dictionary / ...)
KEY VALUE
"/user/john/profile" "{ age: 42, friends: ['joanne', 'jose'], avatar:
'icon234.png'}"
"users:online" 122
"/top_companies/acquia.php" "<HTML><LOREM>ipsum</LOREM>...</HTML>"
"server:build-1:packages" "rubygems|java|tomcat"
"server:build-1:last-launch" "Thu Oct 06 19:38:29 +0200 2011"
logic in the key
7. Key Value Stores
- Don't want to know what the "value" part is supposed to be
KEY VALUE
"/user/john/profile" 11010101010110100101010010101010
"users:online" 101001010010110101101001010100101
"/top_companies/acquia.php" 11010111011100101010011101011010
"server:build-1:packages" 11110101101001110101001110101010
"server:build-1:last-launch" 111101010010001001010010101010110
8. Key Value Stores
Examples:
● MemcacheDB
● Membase
● Project Voldemort
● Scalaris
● (Kyoto + Tokyo) Cabinet
● Redis (can do way more)
● Berkley DB
● HandlerSocket for MySQL (can also do a bit more)
● Amazon S3
● Note: A lot of the other databases can be used as a key-
value store
32. Graph Databases
Traversal:
1. start at a node A
2. Collect all connected nodes if they:
1. have a certain property on themselves
2. have a certain property on their relationship to node A
37. Data structure servers (redis)
Data schema:
● Strings
● Hashes
● Lists
● Sets
● Sorted sets.
38. Data structure servers (redis)
Functionality for Lists:
● push/pop (blocking or non-blocking, from left or right)
● trim (-> capped lists)
○ example: a simple log buffer for the last 10000 messages:
○
○ def log(message)
○ @redis.lpush(:log_collection, message)
○ @redis.ltrim(:log_collection, 0, 10000)
○ end
● brpoplpush()
39. Data structure servers (redis)
Functionality for Strings:
● decrement/increment (integers + soon float)
● getbit,setbit,getrange,setrange ( -> fixed length bitmaps?)
● append (-> grow the bitmaps)
● mget/mset (set/get multiple keys at once)
● expire (great for caching, works for all keys)
@redis.incr(:counter_acquia_com, 1)
@redis.setbit(:room_vacancy, 42, 0) #guest moved in room 42
@redis.setbit(:room_vacancy, 42, 1) #guest moved out
40. Data structure servers (redis)
Functionality for Hashes:
● decrement/increment (integers + soon float)
○ visitor counter?
● hexists (determine if a field exists)
○ check if e.g. this customer is a credit card number in
the system (server side!)
41. Data structure servers (redis)
Functionality for Sets:
● server side intersections, unions, differences
○ Give me all keys in the set "customers:usa" that are
also in the set "customers:devcloud"
○ What is the difference between the sets "sales-leads"
and "already-called"
■ result can be saves as a new set
● "sorted sets"
○ sets with a score
○ score can be incremented/decremented
○ server side intersections and unions available
42. Data structure servers (redis)
Pub/Sub:
● A simple publish subscribe system
● publish(channel, message)
● subscribe(channel) / unsubscribe(channel)
○ also available: subscribe to a certain pattern
■ psubscribe(:alert_channel, "prio:high:*")
{|message|
send_sms(@on_call, message)
}
43. Data structure servers (redis)
Using "redis-benchmark" on my MBP:
GET: 69930.07 requests per second
SET: 70921.98 requests per second
INCR: 71428.57 requests per second
LPUSH: 70422.53 requests per second
LPOP: 69930.07 requests per second
SADD: 70422.53 requests per second
SPOP: 74626.87 requests per second
45. How can I get my data?
Access by known key (most of them)
db.get("domains:acquia.com")
db.get("users:john")
46. How can I get my data?
Map-Reduce (CouchDB, Riak, MongoDB)
47. How can I get my data?
Map-Reduce (example: where do my customers come from?)
Map:
function(doc) {
if (doc.Type == "customer") {
emit(doc.country, 1);
}
}
Reduce:
function (key, values) {
return sum(values);
}
48. How can I get my data?
Secondary Indexes (e.g. Riak, Cassandra, MongoDB)
MongoDB:
db.users.find({last_name: 'Smith'})
49. How can I get my data?
Graph traversal (Graph databases)
Chose your poison: SPARQL/Gremlin/Blueprint/...
50. How can I get my data?
External search services
● Elastic Search has CouchDB Integration (+unofficial MongoDB)
● "Solandra" allows you to save your Solr index to Cassandra
● "Riak Search" got integrated into Riak
51. Personal favorites
● Riak (scales really nicely over several servers)
● Redis (fast and useful)
● MongoDB (annoying to scale, but fast for smaller things, really nice querying options)
● Elasticsearch (clutter free and easily scalable search)
52. Links
nosql.mypopescu.com
"My curated guide to NoSQL Databases and Polyglot Persistence"
www.nosqlweekly.com
"A free weekly newsletter featuring curated news, articles, new releases, jobs etc
related to NoSQL."