HiveDB is a scalable database designed for large datasets like those encountered by e-commerce companies. It uses a simple partitioning scheme to distribute data across multiple MySQL databases to improve performance and scalability. The document outlines HiveDB's architecture, performance in tests with a large e-commerce company (meeting and exceeding goals), limitations, and roadmap for future improvements.
This presentation by Bruce Momjian. Co-Founder of the Global PostgreSQL Development team and a Senior Architect at EDB. He demonstrates how to use arrays, geometry and JSON for NoSQL data types to overcome restrictions of relational storage to support new innovative applications, specifically by storing and indexing multiple values, even unrelated ones, in a single database field. Such storage allows for greater efficiency and access simplicity, and can also avoid the negatives of entity-attribute-value (eav) storage.
Postgres has always had strong support for relational storage. However, there are some cases where relational storage might be inefficient or overly restrictive.
Operations, Consistency, Failover for Multi-DC Clusters (Alexander Dejanovski...DataStax
Cassandra's support for multiple data centers can bring massive benefits to an organization, however it can also bring painful operational lessons. While there is no recipe for trouble free mutli DC clusters, the best approach is to understand why you are using one, what Cassandra supports, and how it does it. With this knowledge in your toolkit you will have a better chance of fixing the sort of gremlins that can trouble a globally distributed database.
In this talk Alexander Dejanovski, Consultant at The Last Pickle, will outline the motivations people typically have for running a multi DC cluster. He will also look at how multiple DC's are supported through all areas of the Cassandra, how it impacts your application and operations, and how you can always blame the network.
About the Speaker
Alexander DEJANOVSKI Consultant, The Last Pickle
Alexander has been working as a software developer for the last 18 years, mainly for the french leader of express shipments. He's been leading there the effort to build a Cassandra based architecture and migrate services to it from traditional RDBMS. He is involved in the Cassandra community through the development of a JDBC wrapper for the DataStax Java Driver. Recently, he joined The Last Pickle as a Cassandra consultant and now helps customers to get the best out of it.
A presentation on best practices for J2EE scalability from requirements gathering through to implementation, including design and architecture along the way.
Real-time Data Loading from Oracle and MySQL to Data Warehouses, AnalyticsContinuent
Analyzing transactional data is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever increasing storage. Although there are many techniques available for loading data, getting effective data in real-time into your data warehouse store is a more difficult problem.
In this webinar we showcase VMware Continuent's capabilities for continuous and real-time data warehouse loading. We'll share practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently.
Always upgrade! There are hundreds of fixes between each PostgreSQL release, and an important number of them are security fixes! Logical replication allows making major upgrades with minimal downtime and feasible cons.
This webinar covered:
- PostgreSQL releases
- Upgrade options
- What is Pglogical?
- Major upgrades
New VMware Continuent 5.0 - A powerful and cost-efficient Oracle GoldenGate a...Continuent
VMware Continuent 5.0 is a complete data replication solution that includes all the functionality you need at one low price. In this webinar, you’ll see how VMware Continuent delivers:
- Migration. Replicate from an old version of Oracle, often running on non-Linux platform (Windows, AIX, HP-UX, Solaris), to a new version of Oracle (often running in Linux). VMware Continuent supports heterogeneous environments.
- On-boarding to Cloud and Service Providers' data centers. Replicate from an old version of Oracle, often running on non-Linux platform, into a virtual or cloud-hosted environment. VMware Continuent is “Cloud-ready”.
- Replication into Analytics (Hadoop, HP Vertica, Amazon Redshift). VMware Continuent offers real-time data loading into analytics and Big Data. This often includes Oracle running on Linux replicating into Hadoop/Vertica analytics.
- Replication to MySQL (and PostgreSQL). There is a lot of interest by customers to save money with open source databases. VMware Continuent supports two-way replication between Oracle and MySQL, and allows off-loading workloads to cost-saving MySQL databases. VMware Continuent will soon allow migration from Oracle to PostgreSQL.
Don’t miss this opportunity to learn about the alternative to Oracle’s tools!
MySQL and MariaDB though they share the same roots for replication .They support parallel replication , but they diverge the way the parallel replication is implemented.
Are you unsure of the steps needed to get your Continuent Tungsten cluster up-and-running? In this live virtual course, we will teach you how to get from a single database server to a scalable cluster, or from a brittle MySQL replication system to a transparent, manageable Tungsten cluster.
We will discuss the benefits of leveraging Continuent Tungsten clustering with MySQL, and walk you through the steps to implement a Tungsten cluster in Amazon EC2. We'll cover the prerequisites, installing and configuring Tungsten, and best practices that are part of most production installations and proof-of-concepts.
Course Topics:
- Configuring MySQL and the OS for proper installation
- Installing a cross-site cluster
- Schema upgrade on the master database server with minimal application downtime (switch operation)
- Automated failover when a MySQL database server crashes
- Recovery of a failed master to a fully operational slave with a single command (recover operation)
- Switching database operations to a remote site (geo-clustering, cross-site 'switch' operation)
We will also discuss and demonstrate basic operations, such as adding and removing a cluster node, basic monitoring and troubleshooting, and discuss the basic failure scenarios.
Learn how to quickly configure and provision highly optimized Continuent Tungsten deployments in the cloud or on-premises.
This presentation by Bruce Momjian. Co-Founder of the Global PostgreSQL Development team and a Senior Architect at EDB. He demonstrates how to use arrays, geometry and JSON for NoSQL data types to overcome restrictions of relational storage to support new innovative applications, specifically by storing and indexing multiple values, even unrelated ones, in a single database field. Such storage allows for greater efficiency and access simplicity, and can also avoid the negatives of entity-attribute-value (eav) storage.
Postgres has always had strong support for relational storage. However, there are some cases where relational storage might be inefficient or overly restrictive.
Operations, Consistency, Failover for Multi-DC Clusters (Alexander Dejanovski...DataStax
Cassandra's support for multiple data centers can bring massive benefits to an organization, however it can also bring painful operational lessons. While there is no recipe for trouble free mutli DC clusters, the best approach is to understand why you are using one, what Cassandra supports, and how it does it. With this knowledge in your toolkit you will have a better chance of fixing the sort of gremlins that can trouble a globally distributed database.
In this talk Alexander Dejanovski, Consultant at The Last Pickle, will outline the motivations people typically have for running a multi DC cluster. He will also look at how multiple DC's are supported through all areas of the Cassandra, how it impacts your application and operations, and how you can always blame the network.
About the Speaker
Alexander DEJANOVSKI Consultant, The Last Pickle
Alexander has been working as a software developer for the last 18 years, mainly for the french leader of express shipments. He's been leading there the effort to build a Cassandra based architecture and migrate services to it from traditional RDBMS. He is involved in the Cassandra community through the development of a JDBC wrapper for the DataStax Java Driver. Recently, he joined The Last Pickle as a Cassandra consultant and now helps customers to get the best out of it.
A presentation on best practices for J2EE scalability from requirements gathering through to implementation, including design and architecture along the way.
Real-time Data Loading from Oracle and MySQL to Data Warehouses, AnalyticsContinuent
Analyzing transactional data is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever increasing storage. Although there are many techniques available for loading data, getting effective data in real-time into your data warehouse store is a more difficult problem.
In this webinar we showcase VMware Continuent's capabilities for continuous and real-time data warehouse loading. We'll share practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently.
Always upgrade! There are hundreds of fixes between each PostgreSQL release, and an important number of them are security fixes! Logical replication allows making major upgrades with minimal downtime and feasible cons.
This webinar covered:
- PostgreSQL releases
- Upgrade options
- What is Pglogical?
- Major upgrades
New VMware Continuent 5.0 - A powerful and cost-efficient Oracle GoldenGate a...Continuent
VMware Continuent 5.0 is a complete data replication solution that includes all the functionality you need at one low price. In this webinar, you’ll see how VMware Continuent delivers:
- Migration. Replicate from an old version of Oracle, often running on non-Linux platform (Windows, AIX, HP-UX, Solaris), to a new version of Oracle (often running in Linux). VMware Continuent supports heterogeneous environments.
- On-boarding to Cloud and Service Providers' data centers. Replicate from an old version of Oracle, often running on non-Linux platform, into a virtual or cloud-hosted environment. VMware Continuent is “Cloud-ready”.
- Replication into Analytics (Hadoop, HP Vertica, Amazon Redshift). VMware Continuent offers real-time data loading into analytics and Big Data. This often includes Oracle running on Linux replicating into Hadoop/Vertica analytics.
- Replication to MySQL (and PostgreSQL). There is a lot of interest by customers to save money with open source databases. VMware Continuent supports two-way replication between Oracle and MySQL, and allows off-loading workloads to cost-saving MySQL databases. VMware Continuent will soon allow migration from Oracle to PostgreSQL.
Don’t miss this opportunity to learn about the alternative to Oracle’s tools!
MySQL and MariaDB though they share the same roots for replication .They support parallel replication , but they diverge the way the parallel replication is implemented.
Are you unsure of the steps needed to get your Continuent Tungsten cluster up-and-running? In this live virtual course, we will teach you how to get from a single database server to a scalable cluster, or from a brittle MySQL replication system to a transparent, manageable Tungsten cluster.
We will discuss the benefits of leveraging Continuent Tungsten clustering with MySQL, and walk you through the steps to implement a Tungsten cluster in Amazon EC2. We'll cover the prerequisites, installing and configuring Tungsten, and best practices that are part of most production installations and proof-of-concepts.
Course Topics:
- Configuring MySQL and the OS for proper installation
- Installing a cross-site cluster
- Schema upgrade on the master database server with minimal application downtime (switch operation)
- Automated failover when a MySQL database server crashes
- Recovery of a failed master to a fully operational slave with a single command (recover operation)
- Switching database operations to a remote site (geo-clustering, cross-site 'switch' operation)
We will also discuss and demonstrate basic operations, such as adding and removing a cluster node, basic monitoring and troubleshooting, and discuss the basic failure scenarios.
Learn how to quickly configure and provision highly optimized Continuent Tungsten deployments in the cloud or on-premises.
Most developers get started building applications without giving a lot of thought to their database. Either they get told that the company does everything with Database X, or they Google around and end up using MySQL or MS Access. Neither of these is the wrong choice, but it's often not the best choice. I was one of those guys, first with Access and then MySQL. As I've moved through my career, I've used a lot of database systems, both relational and non-relational ("NoSQL"), and my go-to choice has become PostgreSQL.
I'm not going to spend much time on the "SQL vs NoSQL" debate. It's sort of a straw man argument, because they're solving a variety of fundamentally different problems. It's also much better in discussion format, for that same reason: so much variety.
Like everything else in technology, there is no one-size-fits-all solution, but I want to show why I think it's a great first choice for most things, and the reasons why a lot of other options fall short. Your choice of database can shape a lot of how you build your application, how well it performs, and how it can grow over time. It can be a productivity boon, or force you to constantly working around it's limitations. As application developers, we should be spending our time solving business problems, not on low-level technology plumbing.
This session is intended for people who have built a few database-backed applications, and are curious about what options are out there and how to go about choosing between them.
Disaster Recovery with MySQL InnoDB ClusterSet - What is it and how do I use it?Miguel Araújo
MySQL InnoDB ClusterSet brings multi-datacenter capabilities to our solutions and make it very easy to setup a disaster recovery architecture. Think multiple MySQL InnoDB Clusters into one single database architecture, fully managed from MySQL Shell and with full MySQL Router integration to make it easy to access the entire architecture.
This presentation covers:
- The various features of InnoDB Clusterset
- How to setup MySQL InnoDB ClusterSet
- Ways to migrate from an existing MySQL InnoDB Cluster into MySQL InnoDB ClusterSet
- How to deal with various failures
- The various features of router integration which makes connection to the database architecture easy.
1. If it’s not SQL, it’s not a database.
2. It takes 5+ years to build a database.
3. Listen to your users.
4. Too much magic is a bad thing.
5. It’s the cloud, stupid.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
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.
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.
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.
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.
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.
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.
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
4. Requirements
➡ OLTP optimized
➡ Constant response time is more
important than low-latency
➡ Expand capacity online
➡ Ability to move records
➡ No re-sharding
5. 2 years ago
Clustered Non-relational Unstructured
Oracle RAC
MS SQL Server Hadoop
MySQL Cluster MogileFS
Teradata (OLAP) S3
6. Today
Clustered Non-relational Unstructured
Oracle RAC
MS SQL Server Hypertable
Hadoop
MySQL Cluster HBase
MogileFS
DB2 CouchDB
S3
Teradata (OLAP) SimpleDB
HiveDB
7. System Storage Interface Partitioning Expansion Node Types Maturity
No
Oracle RAC Shared SQL Transparent Identical 7 years
downtime
Memory Requires
MySQL Cluster SQL Transparent Mixed 3 years
/ Local Restart
?
No
Hypertable Local HQL Transparent Mixed (released
downtime
2/08)
Degraded 3 years
DB2 Local SQL Fixed Hash Performan Identical (25 years
ce total)
Key-based No 18 months
HiveDB Local SQL Mixed
Directory downtime (+13 years!)
24. Directory
➡ No broadcasting
➡ No re-partitioning
➡ Easy to relocate records
➡ Easy to add capacity
25.
26. Disadvantages
➡ Intelligence moved from the
database to the application
(Queries have to be planned and
indexed)
➡ Can’t join across partitions
➡ NO OLAP! (We consider this a
benefit.)
46. Case Study:
Performance Results
➡ Large object reads: 1500/s
Actual result: 2250/s
➡ Large object writes: 200/s
Actual result: 300/s
➡ Response time: 100ms
Actual result: 8ms
56. Roadmap
➡ MemcacheD directory
➡ Simplified Hibernate support
➡ Management web service
➡ Command-line tools
➡ Framework Adapters
57. Call for developers!
➡ Grails (GORM)
➡ ActiveRecord (JRuby on Rails)
➡ Ambition (JRuby or web service)
➡ iBatis
➡ JPA
➡ ... Postgres?
58. Contributing
➡ Post to the mailing list
http://groups.google.com/group/hivedb-dev
➡ Comment on our site
http://www.hivedb.org
➡ Submit a patch / pull request
git clone git://github.com/britt/hivedb.git
60. Blobject
➡ Gets around the problem of ALTER
statements. No data set of this size
can be transformed synchronously.
➡ The hive can contain multiple
versions of a serialized record.
➡ Compression
61. Hadoop!
➡ Query and transform blobbed data
asynchronously.