Cassandra training course is designed to provide knowledge and skills to become a successful Cassandra developer. In depth knowledge of concepts such as Clusters, Keyspaces, Column familes, Replication, Cassandra’s Data Model, Cassandra’s Architecture, Performance Tuning, How to read and write data and finally how to integrate Cassandra with Hadoop will be covered in this course.
Cassandra concepts, patterns and anti-patternsDave Gardner
An introduction to the fundamental concepts behind Apache Cassandra. This talk explains the engineering principles that make Cassandra such an attractive choice for building highly resilient and available systems and then goes on to explain how to use it - covering basic data modelling patterns and anti-patterns.
Apache Cassandra operations have the reputation to be simple on single datacenter deployments and / or low volume clusters but they become way more complex on high latency multi-datacenter clusters with high volume and / or high throughout: basic Apache Cassandra operations such as repairs, compactions or hints delivery can have dramatic consequences even on a healthy high latency multi-datacenter cluster.
In this presentation, Julien will go through Apache Cassandra mutli-datacenter concepts first then show multi-datacenter operations essentials in details: bootstrapping new nodes and / or datacenter, repairs strategy, Java GC tuning, OS tuning, Apache Cassandra configuration and monitoring.
Based on his 3 years experience managing a multi-datacenter cluster against Apache Cassandra 2.0, 2.1, 2.2 and 3.0, Julien will give you tips on how to anticipate and prevent / mitigate issues related to basic Apache Cassandra operations with a multi-datacenter cluster.
About the Speaker
Julien Anguenot VP Software Engineering, iland Internet Solutions, Corp
Julien currently serves as iland's Vice President of Software Engineering. Prior to joining iland, Mr. Anguenot held tech leadership positions at several open source content management vendors and tech startups in Europe and in the U.S. Julien is a long time Open Source software advocate, contributor and speaker: Zope, ZODB, Nuxeo contributor, Zope and OpenStack foundations member, his talks includes Apache Con, Cassandra summit, OpenStack summit, The WWW Conference or still EuroPython.
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".
Cassandra concepts, patterns and anti-patternsDave Gardner
An introduction to the fundamental concepts behind Apache Cassandra. This talk explains the engineering principles that make Cassandra such an attractive choice for building highly resilient and available systems and then goes on to explain how to use it - covering basic data modelling patterns and anti-patterns.
Apache Cassandra operations have the reputation to be simple on single datacenter deployments and / or low volume clusters but they become way more complex on high latency multi-datacenter clusters with high volume and / or high throughout: basic Apache Cassandra operations such as repairs, compactions or hints delivery can have dramatic consequences even on a healthy high latency multi-datacenter cluster.
In this presentation, Julien will go through Apache Cassandra mutli-datacenter concepts first then show multi-datacenter operations essentials in details: bootstrapping new nodes and / or datacenter, repairs strategy, Java GC tuning, OS tuning, Apache Cassandra configuration and monitoring.
Based on his 3 years experience managing a multi-datacenter cluster against Apache Cassandra 2.0, 2.1, 2.2 and 3.0, Julien will give you tips on how to anticipate and prevent / mitigate issues related to basic Apache Cassandra operations with a multi-datacenter cluster.
About the Speaker
Julien Anguenot VP Software Engineering, iland Internet Solutions, Corp
Julien currently serves as iland's Vice President of Software Engineering. Prior to joining iland, Mr. Anguenot held tech leadership positions at several open source content management vendors and tech startups in Europe and in the U.S. Julien is a long time Open Source software advocate, contributor and speaker: Zope, ZODB, Nuxeo contributor, Zope and OpenStack foundations member, his talks includes Apache Con, Cassandra summit, OpenStack summit, The WWW Conference or still EuroPython.
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".
Detail behind the Apache Cassandra 2.0 release and what is new in it including Lightweight Transactions (compare and swap) Eager retries, Improved compaction, Triggers (experimental) and more!
• CQL cursors
Agenda
- What is NOSQL?
- Motivations for NOSQL?
- Brewer’s CAP Theorem
- Taxonomy of NOSQL databases
- Apache Cassandra
- Features
- Data Model
- Consistency
- Operations
- Cluster Membership
- What Does NOSQL means for RDBMS?
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
Introduciton to Apache Cassandra for Java Developers (JavaOne)zznate
The database industry has been abuzz over the past year about NoSQL databases. Apache Cassandra, which has quickly emerged as a best-of-breed solution in this space, is used at many companies to achieve unprecedented scale while maintaining streamlined operations.
This presentation goes beyond the hype, buzzwords, and rehashed slides and actually presents the attendees with a hands-on, step-by-step tutorial on how to write a Java application on top of Apache Cassandra. It focuses on concepts such as idempotence, tunable consistency, and shared-nothing clusters to help attendees get started with Apache Cassandra quickly while avoiding common pitfalls.
Introduction to Cassandra: Replication and ConsistencyBenjamin Black
A short introduction to replication and consistency in the Cassandra distributed database. Delivered April 28th, 2010 at the Seattle Scalability Meetup.
Apache Cassandra operations have the reputation to be quite simple against single datacenter clusters and / or low volume clusters but they become way more complex against high latency multi-datacenter clusters: basic operations such as repair, compaction or hints delivery can have dramatic consequences even on a healthy cluster.
In this presentation, Julien will go through Cassandra operations in details: bootstrapping new nodes and / or datacenter, repair strategies, compaction strategies, GC tuning, OS tuning, large batch of data removal and Apache Cassandra upgrade strategy.
Julien will give you tips and techniques on how to anticipate issues inherent to multi-datacenter cluster: how and what to monitor, hardware and network considerations as well as data model and application level bad design / anti-patterns that can affect your multi-datacenter cluster performances.
Pythian: My First 100 days with a Cassandra ClusterDataStax Academy
With Apache Cassandra being a massively scalable open source NoSQL database and with the amount of data that we create and copy annually which is doubling in size every two years, it is expected to reach 44 zettabytes, or 44 trillion gigabytes, we can assume that sooner or later a DBA will be handling a Cassandra database in their shop. This beginner/intermediate-level session will take you through my journey of an Oracle DBA and my first 100 days of starting to administer a Cassandra Cluster, show several demos and all the roadblocks and the success I had along this path.
I don't think it's hyperbole when I say that Facebook, Instagram, Twitter & Netflix now define the dimensions of our social & entertainment universe. But what kind of technology engines purr under the hoods of these social media machines?
Here is a tech student's perspective on making the paradigm shift to "Big Data" using innovative models: alphabet blocks, nesting dolls, & LEGOs!
Get info on:
- What is Cassandra (C*)?
- Installing C* Community Version on Amazon Web Services EC2
- Data Modelling & Database Design in C* using CQL3
- Industry Use Cases
** Apache Cassandra Certification Training: https://www.edureka.co/cassandra **
In this PPT, you will get a detailed introduction to NoSQL and Apache Cassandra Questions and Answers required to crack any Interview. Brush up your Knowledge of Cassandra, It's various database elements and how to configure the database.
Detail behind the Apache Cassandra 2.0 release and what is new in it including Lightweight Transactions (compare and swap) Eager retries, Improved compaction, Triggers (experimental) and more!
• CQL cursors
Agenda
- What is NOSQL?
- Motivations for NOSQL?
- Brewer’s CAP Theorem
- Taxonomy of NOSQL databases
- Apache Cassandra
- Features
- Data Model
- Consistency
- Operations
- Cluster Membership
- What Does NOSQL means for RDBMS?
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
Introduciton to Apache Cassandra for Java Developers (JavaOne)zznate
The database industry has been abuzz over the past year about NoSQL databases. Apache Cassandra, which has quickly emerged as a best-of-breed solution in this space, is used at many companies to achieve unprecedented scale while maintaining streamlined operations.
This presentation goes beyond the hype, buzzwords, and rehashed slides and actually presents the attendees with a hands-on, step-by-step tutorial on how to write a Java application on top of Apache Cassandra. It focuses on concepts such as idempotence, tunable consistency, and shared-nothing clusters to help attendees get started with Apache Cassandra quickly while avoiding common pitfalls.
Introduction to Cassandra: Replication and ConsistencyBenjamin Black
A short introduction to replication and consistency in the Cassandra distributed database. Delivered April 28th, 2010 at the Seattle Scalability Meetup.
Apache Cassandra operations have the reputation to be quite simple against single datacenter clusters and / or low volume clusters but they become way more complex against high latency multi-datacenter clusters: basic operations such as repair, compaction or hints delivery can have dramatic consequences even on a healthy cluster.
In this presentation, Julien will go through Cassandra operations in details: bootstrapping new nodes and / or datacenter, repair strategies, compaction strategies, GC tuning, OS tuning, large batch of data removal and Apache Cassandra upgrade strategy.
Julien will give you tips and techniques on how to anticipate issues inherent to multi-datacenter cluster: how and what to monitor, hardware and network considerations as well as data model and application level bad design / anti-patterns that can affect your multi-datacenter cluster performances.
Pythian: My First 100 days with a Cassandra ClusterDataStax Academy
With Apache Cassandra being a massively scalable open source NoSQL database and with the amount of data that we create and copy annually which is doubling in size every two years, it is expected to reach 44 zettabytes, or 44 trillion gigabytes, we can assume that sooner or later a DBA will be handling a Cassandra database in their shop. This beginner/intermediate-level session will take you through my journey of an Oracle DBA and my first 100 days of starting to administer a Cassandra Cluster, show several demos and all the roadblocks and the success I had along this path.
I don't think it's hyperbole when I say that Facebook, Instagram, Twitter & Netflix now define the dimensions of our social & entertainment universe. But what kind of technology engines purr under the hoods of these social media machines?
Here is a tech student's perspective on making the paradigm shift to "Big Data" using innovative models: alphabet blocks, nesting dolls, & LEGOs!
Get info on:
- What is Cassandra (C*)?
- Installing C* Community Version on Amazon Web Services EC2
- Data Modelling & Database Design in C* using CQL3
- Industry Use Cases
** Apache Cassandra Certification Training: https://www.edureka.co/cassandra **
In this PPT, you will get a detailed introduction to NoSQL and Apache Cassandra Questions and Answers required to crack any Interview. Brush up your Knowledge of Cassandra, It's various database elements and how to configure the database.
Recordemos que las herramientas que entregó el periodismo 2.0 para la creación de contenido en y para la Red, sumando sus características de hipertextualidad, interactividad, multimedia, etc. Son la base para el desarrollo del llamado periodismo 3.0
Hadoop Adminstration with Latest Release (2.0)Edureka!
The Hadoop Cluster Administration course at Edureka starts with the fundamental concepts of Apache Hadoop and Hadoop Cluster. It covers topics to deploy, manage, monitor, and secure a Hadoop Cluster. You will learn to configure backup options, diagnose and recover node failures in a Hadoop Cluster. The course will also cover HBase Administration. There will be many challenging, practical and focused hands-on exercises for the learners. Software professionals new to Hadoop can quickly learn the cluster administration through technical sessions and hands-on labs. By the end of this six week Hadoop Cluster Administration training, you will be prepared to understand and solve real world problems that you may come across while working on Hadoop Cluster.
Expanding Peak Games across the pond – Growing in the USAdjust
In this presentation delivered during the adjust Mobile Spree Event by Erdem Inan (Peak Games) you will learn:
- Why Peak Games focused on the US
- Shaping a go-to-market strategy
- Identifying unique challenges in individual markets
- User Acquisition strategies in different regions
You can find the video to this talk here: https://www.adjust.com/overview/company/2016/08/31/erdem-inan-mobile-spree-talk/
You can find more adjust reports and case studies in our resources section: https://www.adjust.com/resources/
Want to attract potential employers to your LinkedIn profile? From profile picture to personalised URL's, we've got all the best tips on how to make your LinkedIn profile desirable in our latest infographic.
Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple data-centres,with asynchronous master-less replication allowing low latency operations for all clients.
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
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data.Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.
http://tyfs.rocks
NoSQL Data Stores in Research and Practice - ICDE 2016 Tutorial - Extended Ve...Felix Gessert
The unprecedented scale at which data is consumed and generated today has shown a large demand for scalable data management and given rise to non-relational, distributed "NoSQL" database systems. Two central problems triggered this process: 1) vast amounts of user-generated content in modern applications and the resulting requests loads and data volumes 2) the desire of the developer community to employ problem-specific data models for storage and querying. To address these needs, various data stores have been developed by both industry and research, arguing that the era of one-size-fits-all database systems is over. The heterogeneity and sheer amount of these systems - now commonly referred to as NoSQL data stores - make it increasingly difficult to select the most appropriate system for a given application. Therefore, these systems are frequently combined in polyglot persistence architectures to leverage each system in its respective sweet spot. This tutorial gives an in-depth survey of the most relevant NoSQL databases to provide comparative classification and highlight open challenges. To this end, we analyze the approach of each system to derive its scalability, availability, consistency, data modeling and querying characteristics. We present how each system's design is governed by a central set of trade-offs over irreconcilable system properties. We then cover recent research results in distributed data management to illustrate that some shortcomings of NoSQL systems could already be solved in practice, whereas other NoSQL data management problems pose interesting and unsolved research challenges.
If you'd like to use these slides for e.g. teaching, contact us at gessert at informatik.uni-hamburg.de - we'll send you the PowerPoint.
Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open-source and horizontally scalable. The original intention has been modern web-scale databases. The movement began early 2009 and is growing rapidly. Often more characteristics apply such as: schema-free, easy replication support, simple API, eventually consistent / BASE (not ACID), a huge amount of data and more. So the misleading term "nosql" (the community now translates it mostly with "not only sql") should be seen as an alias to something like the definition above.
What to learn during the 21 days Lockdown | EdurekaEdureka!
Register Here: https://resources.edureka.co/21-days-learning-plan-webinar/
In light of the complete national lockdown for 21 days, we invite you to join a FREE webinar by renowned Mentor and Advisor, Nitin Gupta as he helps you create a 21-day learning gameplan to maximize returns for your career.
The webinar will help freshers and experienced professionals to capitalize on these 21 days and figure out the best technologies to learn while confined to home.
You will also get all your questions and doubts resolved in real-time.
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Top 10 Dying Programming Languages in 2020 | EdurekaEdureka!
YouTube Link: https://youtu.be/LSM7hD6GM4M
Get Edureka Certified in Trending Programming Languages: https://www.edureka.co
In this highly competitive IT industry, everyone wants to learn programming languages that will keep them ahead of the game. But knowing what to learn so you gain the most out of your knowledge is a whole other ball game. So, we at Edureka have prepared a list of Top 10 Dying Programming Languages 2020 that will help you to make the right choice for your career. Meanwhile, if you ever wondered about which languages are slated for continuing uptake and possible greatness, we have a list for that, too.
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Top 5 Trending Business Intelligence Tools | EdurekaEdureka!
YouTube Link: https://youtu.be/eEwq_mPd1iI
Edureka BI Certification Training Courses: https://www.edureka.co/bi-and-visualization-certification-courses
Receiving insights and finding trends is absolutely critical for businesses to scale and adapt as the years go on. This is exactly what business intelligence does and the best thing about these software solutions is that their potential uses are practically unlimited.
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Tableau Tutorial for Data Science | EdurekaEdureka!
YouTube Link:https://youtu.be/ZHNdSKMluI0
Edureka Tableau Certification Training: https://www.edureka.co/tableau-certification-training
This Edureka's PPT on "Tableau for Data Science" will help you to utilize Tableau as a tool for Data Science, not only for engagement but also comprehension efficiency. Through this PPT, you will learn to gain the maximum amount of insight with the least amount of effort.
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YouTube Link:https://youtu.be/CVv8zhYEjUE
Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course
This Edureka PPT on 'Python Programming' will help you learn Python programming basics with the help of interesting hands-on implementations.
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YouTube Link:https://youtu.be/LvgqSMlIXFs
Get Edureka Certified in Trending Project Management Certifications: https://www.edureka.co/project-management-and-methodologies-certification-courses
Whether you want to scale up your career or are trying to switch your career path, Project Management Certifications seems to be a perfect choice in either case. So, we at Edureka have prepared a list of Top 5 Project Management Certifications that you must check out in 2020 for a major career boost.
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Top Maven Interview Questions in 2020 | EdurekaEdureka!
YouTube Link: https://youtu.be/5iTcAR4fScM
**DevOps Certification Courses - https://www.edureka.co/devops-certification-training***
This video on 'Maven Interview Questions' discusses the most frequently asked Maven Interview Questions. This PPT will help give you a detailed explanation of the topics which will help you in acing the interviews.
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** Linux Administration Certification Training - https://www.edureka.co/linux-admin **
Linux Mint is the first operating system that people from Windows or Mac are drawn towards when they have to switch to Linux in their work environment. Linux Mint has been around since the year 2006 and has grown and matured into a very user-friendly OS. Do watch the PPT till the very end to see all the demonstrations.
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How to Deploy Java Web App in AWS| EdurekaEdureka!
YouTube Link:https://youtu.be/Ozc5Yu_IcaI
** Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training**
This Edureka PPT shows how to deploy a java web application in AWS using AWS Elastic Beanstalk. It also describes the advantages of using AWS for this purpose.
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YouTube Link:https://youtu.be/phPCkkWT76k
*** Edureka Digital Marketing Course: https://www.edureka.co/post-graduate/digital-marketing-certification***
This Edureka PPT on "Top 10 Reasons to Learn Digital Marketing" will help you understand why you should take up Digital Marketing
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** RPA Training: https://www.edureka.co/robotic-process-automation-training**
This PPT on RPA in 2020 will provide a glimpse of the accomplishments and benefits provided by RPA. Also, it will list out the new changes and technologies that will collaborate with RPA in 2020.
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**DevOps Certification Courses - https://www.edureka.co/devops-certification-training **
This PPT shows how to configure Jenkins to receive email notifications. It also includes a demo that shows how to do it in 6 simple steps in the Windows machine.
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EA Algorithm in Machine Learning | EdurekaEdureka!
YouTube Link: https://youtu.be/DIADjJXrgps
** Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training **
This Edureka PPT on 'EM Algorithm In Machine Learning' covers the EM algorithm along with the problem of latent variables in maximum likelihood and Gaussian mixture model.
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PGP in AI and Machine Learning (9 Months Online Program): https://www.edureka.co/post-graduate/machine-learning-and-ai
This Edureka PPT on "Cognitive AI" explains cognitive computing and how it helps in making better human decisions at work. Also, it explains the differences between cognitive computing and artificial intelligence.
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Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training
This Edureka PPT on AWS Cloud Practitioner will provide a complete guide to your AWS Cloud Practitioner Certification exam. It will explain the exam details, objectives, why you should get certified and also how AWS certification will help your career.
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Blue Prism Top Interview Questions | EdurekaEdureka!
YouTube Link: https://youtu.be/ykbRdUNIbyQ
** RPA Training: https://www.edureka.co/robotic-process-automation-certification-courses**
This PPT on Blue Prism Interview Questions will cover the Top 50 Blue Prism related questions asked in your interviews.
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AWS Architect Certification Training: https://www.edureka.co/aws-certification-training
This PPT will help you in understanding how AWS deals smartly with Big Data. It also shows how AWS can solve Big Data challenges with ease.
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A star algorithm | A* Algorithm in Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/amlkE0g-YFU
** Artificial Intelligence and Deep Learning: https://www.edureka.co/ai-deep-learni... **
This Edureka PPT on 'A Star Algorithm' teaches you all about the A star Algorithm, the uses, advantages and disadvantages and much more. It also shows you how the algorithm can be implemented practically and has a comparison between the Dijkstra and itself.
Check out our playlist for more videos: http://bit.ly/2taym8X
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Kubernetes Installation on Ubuntu | EdurekaEdureka!
YouTube Link: https://youtu.be/UWg3ORRRF60
Kubernetes Certification: https://www.edureka.co/kubernetes-certification
This Edureka PPT will help you set up a Kubernetes cluster having 1 master and 1 node. The detailed step by step instructions is demonstrated in this PPT.
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YouTube Link: https://youtu.be/GJQ36pIYbic
DevOps Training: https://www.edureka.co/devops-certification-training
This Edureka DevOps Tutorial for Beginners talks about What is DevOps and how it works. You will learn about several DevOps tools (Git, Jenkins, Docker, Puppet, Ansible, Nagios) involved at different DevOps stages such as version control, continuous integration, continuous delivery, continuous deployment, continuous monitoring.
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2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
2. What are we going to learn today?
New Problems which can’t be handled by traditional RDBMS
Tradeoff between Consistency, Availability, Partition Tolerance ( CAP theorem)
What are the different solutions available?
What is Cassandra?
Use-Cases for Cassandra
Cassandra Features – Tunable Consistency, P2P Architecture, Elastic Scalability, Column Orientation
Demo Application using Cassandra
8. So, What Is Common?
Huge Data
Fast Random access
Variable Schema
Need of Compression
High Availability
Need for Consistency
Need of Distribution (Sharding)
12. Using Cassandra
1000 TPS
Elastic Scale WEB APPLICATION
Applications Changing Data
Elastic Scale
CASSANDRA
300 ~ 500 SQL
Transaction
100 ~ 200 SQL
Transaction
5000 TPS
13. eCommerce (Travel Portal)
Both B2B & B2C Consumers
High volume of shopping transactions ( > 500 Million Visits / Day)
High volume supply changes (Manual & System) generated.
Huge Inventory Database ( Millions of hotels)
High Read/Write (Thousands Reads & Writes/Second)
Application has to 99.99% Available
Fault Tolerant & Reliable.
Fast & Quick Shopping Experience.
Elastic Scale
Innovative Recommendations & Algorithms.
Should be fast for new changes
Should be cost effective for maintenance.
Development Approaches
Legacy Way (Pure RDBMS)
Augmented (RDBMS + Caching, Heavy Database Hardware)
Using Cassandra
Cassandra Use Case -Summary
14. Apache Cassandra is an open source, distributed, decentralized, elastically scalable, highly
available, fault-tolerant, Tuneably consistent, column-oriented database.
What is Apache Cassandra
Cassandra Features
Open
Source
Distributed
Decentralized
Elastically
Scalable
Highly
Scalable
Fault
Tolerant
Tuneably
Consistent
Column
Oriented
15. Distributed And Decentralised
Post Office
Decentralised
Post Office
Centralised
CCY
Exchange stationary Letter/Couriers
Ccy Courier Stationary
CCY, Stationary, Lette
r/Couriers
CCY, Stationary,
Letter/Couriers
CCY, Stationary,
Letter/Couriers
Ccy Courier Stationary
16. Every Node Is Identical.
Peer to Peer Protocol and uses Gossip Protocol to
maintain and keep the List of nodes in Sync.
No Single Point of Failure.
No Special Host to Coordinate Activities.
Easier to Operate and Maintain because all
nodes are same.
CCY, Stationary,
Letter/Couriers
CCY, Stationary,
Letter/Couriers
CCY, Stationary,
Letter/Couriers
Ccy Courier Stationary
Distributed And Decentralised
17. Types of Scalability
Vertical Scalability
Horizontal Scalability
What is Elastic Scalability?
This is special property of Horizontal Scalability.
The cluster can seamlessly scale up and scale back down without major disruption.
Elastic Scalability
18. Cluster must accept new nodes without major
disruption or reconfiguration.
ADD A NODE AND MOVE ON!!
CCY, Stationary,
Letter/Couriers
CCY, Stationary, Le
tter/Couriers
CCY, Stationary,
Letter/Couriers
Ccy Courier Stationary
CCY, Stationary, Le
tter/Couriers
Process should not be restarted
Do not have to change application charges
Don’t have to rebalance data
Elastic Scalability
19. Highly Available
No Downtime
High Availability And Fault Tolerance
CCY, Stationary,
Letter/Couriers
CCY, Stationary,
Letter/Couriers
CCY, Stationary,
Letter/Couriers
Ccy Courier Stationary
21. Cassandra was designed specifically from the ground up to take full
advantage of multiprocessor/ multicore machines, and to run across many
dozens of these machines housed in multiple data centres.
It scales consistently and seamlessly to hundreds of terabytes.
Shows exceptional performance under heavy loads.
Consistently shows very fast throughput for writes per second on a basic
commodity workstation.
High Performance
23. Use if your application has :-
Big Data (Billions Of Records Rows & Columns)
Very High Velocity Random Reads & Writes.
Flexible Sparse / Wide Column Requirements.
No Multiple Secondary Index Needs.
Low Latency
Use Cases
eCommerce Inventory Cache Use Cases
Time Series / Events Use Cases.
Feed Based Activities / Use Cases.
Where to use Cassandra
24. Where NOT to use Cassandra
Don’t Use if you application has :-
• Secondary Indexes.
• Relational Data.
• Transactional (Rollback, Commit)
• Primary & Financial Records.
• Stringent Security & Authorization Needs On Data
• Dynamic Queries on Columns.
• Searching Column Data
• Low Latency
25. Cassandra Installation & Configuration
• conf/cassandra.yaml
• Tools
Key Space Setup
Column Family / Data Model Setup
• Key
• Columns & Data Types
• Indexes (Primary & Secondary)
• Programmatic Consistency
Thrift Hector API
CQL3 API
Application Demo
On this foil, we shall explain how with the advent of distributed systems, one solution cant solve all the problems stated in the preceding foils. Cassandra can be used for Twitter and Expedia due to high scale and availability where we can compromise on consistency. These usecases also don’t have dynamic queries so cassandra fits in very well. The BookMyShow usecase requires consistency along with scale. We can tradeoff Availability in that case. So MongoDB can be used.In case of Facebook Messenger, Consistency is very much required along with Massive scale. The data is short temporal and large set which rarely gets accessed. Hbase can be used in this case.
Another Classification of NoSQL DBs based on implementation
Lets take the scenario of a Post OfficeThere are three counters Currency exchange.Stationary Letters and couriersIn centralized approach we have a router or a counter to forward the customer to respective counters.Drawbacks: System will fails if the router fails.In decentralized approach all the systems are identical and no router is there in between.
If any node goes down, other node is capable of doing the job. Since each node is identical.
The client can control the number of replicas to block on for all updates. This is done by setting the consistency level against the replication factor.Strong consistency is the ability to guarantee that an update is propagated to all locations where that piece of data resides. In a single data centre set up, this would guarantee that all of the servers that should have a copy of the data will have it before the client is acknowledged with a success. In terms of performance, this usually means a cost of a few extra milliseconds to write data to several servers.Eventual consistency means that the client is acknowledged as soon as part of the cluster acknowledges the write. In one case, a single server could acknowledge receiving the data and begin propagating the data to the other servers immediately. This use case would be the best when application performance matters the most.
We can explain some of these. Need not go in details here. We shall be explaining these in the course.