Casandra is a open-source, distributed, highly scalable and fault-tolerant database. It is a best choice for managing structured, semi-structured or unstructured data at a large amount.
Cassandra is a highly scalable, eventually consistent, distributed, structured columnfamily store with no single points of failure, initially open-sourced by Facebook and now part of the Apache Incubator. These slides are from Jonathan Ellis's OSCON 09 talk: http://en.oreilly.com/oscon2009/public/schedule/detail/7975
There are two key choices when scaling a NoSQL data store:
choosing between a hash or a range based sharding and choosing the right sharding key. Any choice is a trade-off between scalability of read, append, and update workloads.
In this talk I will present the standard scaling techniques,
some non-universal sharding tricks, less obvious reasons for
hotspots, as well as techniques to avoid them.
This is a preliminary study and the objective of this study is to make simple distributed database system with some basic tutorials. Cassandra is a distributed database from Apache that is highly scalable and designed to accomplish very large amounts of organized data. Without having a single point of failure, it offers high accessibility. This report highlights with a basic outline of Cassandra trailed by its architecture, installation, and significant classes and interfaces. Subsequently, it proceeds to cover how to perform operations such as CREATE, ALTER, UPDATE, and DELETE on KEYSPACES, TABLES, and INDEXES using CQLSH using C#/.NET Client with a sample program done by ASP.NET(C#).
Casandra is a open-source, distributed, highly scalable and fault-tolerant database. It is a best choice for managing structured, semi-structured or unstructured data at a large amount.
Cassandra is a highly scalable, eventually consistent, distributed, structured columnfamily store with no single points of failure, initially open-sourced by Facebook and now part of the Apache Incubator. These slides are from Jonathan Ellis's OSCON 09 talk: http://en.oreilly.com/oscon2009/public/schedule/detail/7975
There are two key choices when scaling a NoSQL data store:
choosing between a hash or a range based sharding and choosing the right sharding key. Any choice is a trade-off between scalability of read, append, and update workloads.
In this talk I will present the standard scaling techniques,
some non-universal sharding tricks, less obvious reasons for
hotspots, as well as techniques to avoid them.
This is a preliminary study and the objective of this study is to make simple distributed database system with some basic tutorials. Cassandra is a distributed database from Apache that is highly scalable and designed to accomplish very large amounts of organized data. Without having a single point of failure, it offers high accessibility. This report highlights with a basic outline of Cassandra trailed by its architecture, installation, and significant classes and interfaces. Subsequently, it proceeds to cover how to perform operations such as CREATE, ALTER, UPDATE, and DELETE on KEYSPACES, TABLES, and INDEXES using CQLSH using C#/.NET Client with a sample program done by ASP.NET(C#).
advanced metering infrastructure, advanced meter reading, internet of Things, WiMax, LTE, smart meter analytics, smart meter communication technologies, LTE advanced, WiFi, smart meter architectural blueprint
More details: (blog: http://sandyclassic.wordpress.com ,
linkedin: ie.linkedin.com/in/sandepsharma/)
More details: (blog: http://sandyclassic.wordpress.com ,
linkedin: https://www.linkedin.com/in/sandepsharma )
2 New Routing algorithm for ad-hoc routing wireless sensor network, mathematical modelling for wireless sensor network 4 models for over all system and 2 models for energy measurement of wireless sensor network
Quickly made presentation in two hours
Security Risk Management in Healthcare on Cloud using NIST guidelines
More details: (blog: http://sandyclassic.wordpress.com ,
linkedin: ie.linkedin.com/in/sandepsharma/)
DataStax: Rigorous Cassandra Data Modeling for the Relational Data ArchitectDataStax Academy
With the explosive adoption of Cassandra for online transaction processing by hundreds of Web-scale companies, there is a growing need for a rigorous and practical data modeling approach that ensures sound and efficient schema design. In this talk, we present a query-driven data modeling methodology for Apache Cassandra and provide a side-by-side comparison of traditional Relational database design and Cassandra data modeling. Based on a selected use case, we demonstrate main techniques for designing conceptual, logical, and physical data models in the context of both Relational and Cassandra databases. Finally, we discuss strategies for successful migration from Relational to Cassandra.
This is a presentation of the popular NoSQL database Apache Cassandra which was created by our team in the context of the module "Business Intelligence and Big Data Analysis".
C* Summit 2013: How Not to Use Cassandra by Axel LiljencrantzDataStax Academy
At Spotify, we see failure as an opportunity to learn. During the two years we've used Cassandra in our production environment, we have learned a lot. This session touches on some of the exciting design anti-patterns, performance killers and other opportunities to lose a finger that are at your disposal with Cassandra.
1) Apache Cassandra in term of CAP Theorem
2) What makes Apache Cassandra "Available"?
3) How Apache Cassandra ensures data consistency?
4) Cassandra advantages and disadvantages
5) Frameworks/libraries to access Apache Cassandra + performance comparison
Building tiered data stores using aesop to bridge sql and no sql systemsRegunath B
Slides from my talk on building tiered data stores using Aesop to bridge SQL and NoSQL data stores. Aesop is a pub-sub like change data capture and propagation system.
Matteo Merli and Sijie Guo from Streamlio gave a hands-on workshop on Apache Pulsar. #fast #durable #pubsub #messaging system. A low latency alternative to #kafka.
hbaseconasia2019 Phoenix Improvements and Practices on Cloud HBase at AlibabaMichael Stack
Yun Zhang
Track 2: Ecology and Solutions
https://open.mi.com/conference/hbasecon-asia-2019
THE COMMUNITY EVENT FOR APACHE HBASE™
July 20th, 2019 - Sheraton Hotel, Beijing, China
https://hbase.apache.org/hbaseconasia-2019/
Caches are used in many layers of applications that we develop today, holding data inside or outside of your runtime environment, or even distributed across multiple platforms in data fabrics. However, considerable performance gains can often be realized by configuring the deployment platform/environment and coding your application to take advantage of the properties of CPU caches.
In this talk, we will explore what CPU caches are, how they work and how to measure your JVM-based application data usage to utilize them for maximum efficiency. We will discuss the future of CPU caches in a many-core world, as well as advancements that will soon arrive such as HP's Memristor.
Reduced instruction set computing, or RISC (pronounced 'risk', /ɹɪsk/), is a CPU design strategy based on the insight that a simplified instruction set provides higher performance when combined with a microprocessor architecture capable of executing those instructions using fewer microprocessor cycles per instruction.
Best practices for Data warehousing with Amazon Redshift - AWS PS Summit Canb...Amazon Web Services
Get a look under the hood: Understand how to take advantage of Amazon Redshift's columnar technology and parallel processing capabilities to improve your delivery of queries and improve overall database performance. You’ll also hear about how the University of Technology Sydney (UTS) are using Redshift. The University of Technology Sydney will describe how utilizing Amazon Redshift enabled agility in dealing with Data Quality, a capacity to scale when required, and optimizing development processes through rapid provisioning of Data Warehouse environments.
Speaker: Ganesh Raja, Solutions Architect, Amazon Web Services with Susan Gibson, Manager, Data and Business Intelligence, UTS
Level: 300
Similar to Cassandra database design best practises (20)
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!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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/
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.
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.
Epistemic Interaction - tuning interfaces to provide information for AI support
Cassandra database design best practises
1. Key points to look at while designing:
1. Distributed No shared storage
No Single Point of Failure SPOF
2. Linear Scalability
3. ACID Vs CAP Theorem
4. DB write speed more than read speed
5. Mitigation for sequence joins and
aggregation by Hive for speed spark.
6. Polyglot of persistence
2. • Expiring Columns with TTL
• Create row key for speed & use wide rows for
efficiency
• Row level isolation (Rowkey wide rows)
• Atomic batches
(use timestamp to present order SSTable )
• Log structured Storage: Regular compaction
Commit log (durability) memtable (in
memory){flush when full} SSTable
(Compaction)
3. • Tunable data consistency by consistency
strategy {Any|One|Quorum|Local
Quorum|Each Quorum}
Quorum (replication_factor+1)/2
• Super Column limitation: require
deseriailize all column for processing
• Counter Column: incrementally counts
occurrence of particular events
4. • Study Query denormalize by Access
pattern identify repeating columns as
keys. (depends on requirement)
• One to Many relationship Modelling E.g.
RDBMS: User table Video Table
C* : Break to 2 Column Families CF
CF1: Video(key videoid UUID)
CF2: Username_video_index
(key(username,videoid)
5. Many to Many Relationship modeling
Example:
Tables: Student m:n Teacher
CF1: Student_with_Teacherid
CF2: Teacher_with_Studentid
Model depends on Query pattern
6. • Look serialization cost of Collection
(Set|Map|List) and limit 64K.
• TimeSeries : CF ordered by
Timestamp+access pattern.
• Partial Word Indexes:
create partition + partial indexes
• Bit Map index: Example
Vehicle{make,model,color,vech_id,lot_id}
primary key {make,model,color,vech_id}
Row Key {make,model,color}
7. • Index interval:
smaller index faster seek time
properties:
index_interval keep optimum
• Immediate Consistency:
Nodes_written+nodes_read >
replication_factor
• Do not used index on high cardinality
columns,counter columns,frequently
updated columns.