An Intro to NoSQL Databases -- NoSQL databases will not become the new dominators. Relational will still be popular, and used in the majority of situations. They, however, will no longer be the automatic choice. (source : http://martinfowler.com/)
Understand what NoSQL is and what it is not. Why would you want to use NoSQL within your project and which NoSQL database would you utilize. Explore the relationships between NoSQL and RDBMS. Understand how to select between an RDBMs (MySQL and PostgreSQL), Document Database(MongoDB), Key-Value Store, Graph Database, and Columnar databases or combinations of the above.
MongoDB is an open-source document database, and the leading NoSQL database. Written in C++.
MongoDB has official drivers for a variety of popular programming languages and development environments. There are also a large number of unofficial or community-supported drivers for other programming languages and frameworks.
Can No-SQL technologies hold for the specific requirements that apply to the Telco domain?
This is the Slideshare Presentation by Ericsson Researcher Nicolas Seyvet to accompany his blog "NoSQL for Telco"
http://labs.ericsson.com/blog/nosql-for-telco
This Presentation is about NoSQL which means Not Only SQL. This presentation covers the aspects of using NoSQL for Big Data and the differences from RDBMS.
For more than a decade, the evolution of database was governed largely by the incremental improvement in the major RDBMS products, and then suddenly in the past few years, a whole series of innovations started to arrive. This presentation will touch on the most significant, including these "Top 12":
The impact of SSD
Vector registers
The ARM processor
Column store databases and analytic databases
In memory architecture and database
NoSQL and the failure of SQL
Big data/machine data
Hadoop and friends
Data virtualization
Cloud database - database-as-a-service
Streaming and time series databases
A mathematics of data
An Intro to NoSQL Databases -- NoSQL databases will not become the new dominators. Relational will still be popular, and used in the majority of situations. They, however, will no longer be the automatic choice. (source : http://martinfowler.com/)
Understand what NoSQL is and what it is not. Why would you want to use NoSQL within your project and which NoSQL database would you utilize. Explore the relationships between NoSQL and RDBMS. Understand how to select between an RDBMs (MySQL and PostgreSQL), Document Database(MongoDB), Key-Value Store, Graph Database, and Columnar databases or combinations of the above.
MongoDB is an open-source document database, and the leading NoSQL database. Written in C++.
MongoDB has official drivers for a variety of popular programming languages and development environments. There are also a large number of unofficial or community-supported drivers for other programming languages and frameworks.
Can No-SQL technologies hold for the specific requirements that apply to the Telco domain?
This is the Slideshare Presentation by Ericsson Researcher Nicolas Seyvet to accompany his blog "NoSQL for Telco"
http://labs.ericsson.com/blog/nosql-for-telco
This Presentation is about NoSQL which means Not Only SQL. This presentation covers the aspects of using NoSQL for Big Data and the differences from RDBMS.
For more than a decade, the evolution of database was governed largely by the incremental improvement in the major RDBMS products, and then suddenly in the past few years, a whole series of innovations started to arrive. This presentation will touch on the most significant, including these "Top 12":
The impact of SSD
Vector registers
The ARM processor
Column store databases and analytic databases
In memory architecture and database
NoSQL and the failure of SQL
Big data/machine data
Hadoop and friends
Data virtualization
Cloud database - database-as-a-service
Streaming and time series databases
A mathematics of data
Jan Steemann had a talk at Javascript Everywhere in Paris 2012 on Javascript in Arangodb an open source NoSQL database. With ArangoDB you can use Javascript and/or Ruby (mruby) as embedded language
SQL vs NoSQL, an experiment with MongoDBMarco Segato
A simple experiment with MongoDB compared to Oracle classic RDBMS database: what are NoSQL databases, when to use them, why to choose MongoDB and how we can play with it.
Elasticsearch as a search alternative to a relational databaseKristijan Duvnjak
The volume of data that we are working with is growing every day, the size of data is pushing us to find new intelligent solutions for problem’s put in front of us. Elasticsearch server has proved it self as an excellent full text search solution for big volume’s of data.
Jan Steemann had a talk at Javascript Everywhere in Paris 2012 on Javascript in Arangodb an open source NoSQL database. With ArangoDB you can use Javascript and/or Ruby (mruby) as embedded language
SQL vs NoSQL, an experiment with MongoDBMarco Segato
A simple experiment with MongoDB compared to Oracle classic RDBMS database: what are NoSQL databases, when to use them, why to choose MongoDB and how we can play with it.
Elasticsearch as a search alternative to a relational databaseKristijan Duvnjak
The volume of data that we are working with is growing every day, the size of data is pushing us to find new intelligent solutions for problem’s put in front of us. Elasticsearch server has proved it self as an excellent full text search solution for big volume’s of data.
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.
Multi-Model Data Query Languages and Processing ParadigmsJiaheng Lu
Specifying users' interests with a formal query language is a typically challenging task, which becomes even harder in the context of multi-model data management because we have to deal with data variety. It usually lacks a unified schema to help the users issuing their queries, or has an incomplete schema as data come from disparate sources. Multi-Model DataBases (MMDBs) have emerged as a promising approach for dealing with this task as they are capable of accommodating and querying the multi-model data in a single system. This tutorial aims to offer a comprehensive presentation of a wide range of query languages for MMDBs and to make comparisons of their properties from multiple perspectives. We will discuss the essence of cross-model query processing and provide insights on the research challenges and directions for future work. The tutorial will also offer the participants hands-on experience in applying MMDBs to issue multi-model data queries.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
4. Types of NoSql
Document databases Similar to Key/Value but with a
major difference that value is a document. Inspired by Lotus
Notes. Example Couch DB, Mongo DB
Graph stores are used to store information about networks,
such as social connections. Graph stores include Neo4J and
HyperGraphDB.
Key-value stores are the simplest NoSQL databases. Every
single item in the database is stored as an attribute name (or
"key"), together with its value. Examples are Riak and
Voldemort.
Wide-column stores such as Cassandra and HBase are
optimized for queries over large datasets, and store columns
of data together, instead of rows. Example Hadoop/ Hbase,
Cassnadra, Level DB (from Google), BigTable
5. Why #nosql
Dynamic Schema
Large columns of structured, semi structured data
and unstructured data
Efficient scale out architecture (Sharding)
Helps in Agile development
6. SQL Databases No SQL Database
Example Oracle , mysql Mondo DB,
CouchDB, Neo4J
Storage
Model
Rows and tables Key-value. Data
stored as single
document in JSON,
XML
Schemas Static Dynamic
Scaling Vertical &
Horizontal
Horizontal
Transactions Yes Certain levels
Data
Manipulation
Select, Insert ,
Update
Through Object
Oriented API’s
Differences
7. MongoDB
It is type of Document database
Written in C++
Development started in 2007
Commercial supported and developed by 10Gen
Supports multiple types of indexing
In built Sharding
8. What is Sharding
Sharding is the process of storing data records across
multiple machines a.k.a Horizontal Scaling