Why we need Database Awareness?
Document vs Relational
Row-based vs Column-based
In-memory Database vs In-memory Data grids
Graph
Time-series
Solr vs ElasticSearch
Event Store
Here is my seminar presentation on No-SQL Databases. it includes all the types of nosql databases, merits & demerits of nosql databases, examples of nosql databases etc.
For seminar report of NoSQL Databases please contact me: ndc@live.in
Why we need Database Awareness?
Document vs Relational
Row-based vs Column-based
In-memory Database vs In-memory Data grids
Graph
Time-series
Solr vs ElasticSearch
Event Store
Here is my seminar presentation on No-SQL Databases. it includes all the types of nosql databases, merits & demerits of nosql databases, examples of nosql databases etc.
For seminar report of NoSQL Databases please contact me: ndc@live.in
What is an Open Data Lake? - Data Sheets | WhitepaperVasu S
A data lake, where data is stored in an open format and accessed through open standards-based interfaces, is defined as an Open Data Lake.
https://www.qubole.com/resources/data-sheets/what-is-an-open-data-lake
This presentation is all about for the difference in between the Sql and NoSQL database because this question generally comes in the mind of every people that on what parameters and
how we can differentiate both these databases.
So, after viewing this presentation all your doubts and misconfusion between Sql and NoSQL got clear.
158ltd.com gives a rapid introduction to NoSQL databases: where they came from, the nature of the data models they use, and the different way you have to think about consistency.
This presentation explains why NoSQL databases came over SQL databases although SQL databases has been successfully technology for more than twenty years. Moreover, This presentation discuses the characteristics and classifications of NoSQL databases. Finally, These slides cover four NoSQL databases briefly.
The rising interest in NoSQL technology over the last few years resulted in an increasing number of evaluations and comparisons among competing NoSQL technologies From survey we create a concise and up-to-date comparison of NoSQL engines, identifying their most beneficial use from the software engineer point of view.
Everyone is awash in the new buzzword, Big Data, and it seems as if you can’t escape it wherever you go. But there are real companies with real use cases creating real value for their businesses by using big data. This talk will discuss some of the more compelling current or recent projects, their architecture & systems used, and successful outcomes.
Integrate Hue with your Hadoop cluster - Yahoo! Hadoop Meetupgethue
This talk will describe how Hue can be integrated with existing Hadoop deployments with minimal changes/disturbances. Romain will cover details on how Hue can leverage the existing authentication system and security model of your company. He will also cover the Hive/Shark/Pig/Oozie best practice setup for Hue.
http://www.meetup.com/hadoop/events/125191612/
What is an Open Data Lake? - Data Sheets | WhitepaperVasu S
A data lake, where data is stored in an open format and accessed through open standards-based interfaces, is defined as an Open Data Lake.
https://www.qubole.com/resources/data-sheets/what-is-an-open-data-lake
This presentation is all about for the difference in between the Sql and NoSQL database because this question generally comes in the mind of every people that on what parameters and
how we can differentiate both these databases.
So, after viewing this presentation all your doubts and misconfusion between Sql and NoSQL got clear.
158ltd.com gives a rapid introduction to NoSQL databases: where they came from, the nature of the data models they use, and the different way you have to think about consistency.
This presentation explains why NoSQL databases came over SQL databases although SQL databases has been successfully technology for more than twenty years. Moreover, This presentation discuses the characteristics and classifications of NoSQL databases. Finally, These slides cover four NoSQL databases briefly.
The rising interest in NoSQL technology over the last few years resulted in an increasing number of evaluations and comparisons among competing NoSQL technologies From survey we create a concise and up-to-date comparison of NoSQL engines, identifying their most beneficial use from the software engineer point of view.
Everyone is awash in the new buzzword, Big Data, and it seems as if you can’t escape it wherever you go. But there are real companies with real use cases creating real value for their businesses by using big data. This talk will discuss some of the more compelling current or recent projects, their architecture & systems used, and successful outcomes.
Integrate Hue with your Hadoop cluster - Yahoo! Hadoop Meetupgethue
This talk will describe how Hue can be integrated with existing Hadoop deployments with minimal changes/disturbances. Romain will cover details on how Hue can leverage the existing authentication system and security model of your company. He will also cover the Hive/Shark/Pig/Oozie best practice setup for Hue.
http://www.meetup.com/hadoop/events/125191612/
Apache Pig: Introduction, Description, Installation, Pig Latin Commands, Use, Examples, Usefulness are demonstrated in this presentation.
Tushar B. Kute
Researcher,
http://tusharkute.com
Pig Tutorial | Twitter Case Study | Apache Pig Script and Commands | EdurekaEdureka!
This Edureka Pig Tutorial ( Pig Tutorial Blog Series: https://goo.gl/KPE94k ) will help you understand the concepts of Apache Pig in depth.
Check our complete Hadoop playlist here: https://goo.gl/ExJdZs
Below are the topics covered in this Pig Tutorial:
1) Entry of Apache Pig
2) Pig vs MapReduce
3) Twitter Case Study on Apache Pig
4) Apache Pig Architecture
5) Pig Components
6) Pig Data Model
7) Running Pig Commands and Pig Scripts (Log Analysis)
Enabling the Real Time Analytical EnterpriseHortonworks
Combining IOT, Customer Experience and Real-Time Enterprise Data within Hadoop. What if you could derive real-time insights using ALL of your data? Join us for this webinar and learn how companies are combining “new” real-time data sources (i.e. IOT, Social, Web Logs) with continuously updated enterprise data from SAP and other enterprise transactional systems, providing deep and up-to-the-second analytical insights. This presentation will include a demonstration of how this can be achieved quickly, easily and affordably by utilizing a joint solution from Attunity and Hortonworks.
EVALUATING CASSANDRA, MONGO DB LIKE NOSQL DATASETS USING HADOOP STREAMINGijiert bestjournal
An unstructured data poses challenges to storing da ta. Experts estimate that 80 to 90 percent of the d ata in any organization is unstructured. And the amount of uns tructured data in enterprises is growing significan tly� often many times faster than structured databases are gro wing. As structured data is existing in table forma t i,e having proper scheme but unstructured data is schema less database So it�s directly signifying the importance of NoSQL storage Model and Map Reduce platform. For processi ng unstructured data,where in existing it is given to Cassandra dataset. Here in present system along wit h Cassandra dataset,Mongo DB is to be implemented. As Mongo DB provide flexible data model and large amou nt of options for querying unstructured data. Where as Cassandra model their data in such a way as to mini mize the total number of queries through more caref ul planning and renormalizations. It offers basic secondary ind exes but for the best performance it�s recommended to model our data as to use them infrequently. So to process
SQL vs NoSQL: Big Data Adoption & Success in the EnterpriseAnita Luthra
Overview of SQL vs NoSQL. When to use NoSQL vs structured databases. Shows roadmap and considerations for defining success of implementation of Big Data in the enterprise. This presentation also provides a quick overview of the different types of Big-Data databases
What is NoSQL? How does it come to the picture? What are the types of NoSQL? Some basics of different NoSQL types? Differences between RDBMS and NoSQL. Pros and Cons of NoSQL.
What is MongoDB? What are the features of MongoDB? Nexus architecture of MongoDB. Data model and query model of MongoDB? Various MongoDB data management techniques. Indexing in MongoDB. A working example using MongoDB Java driver on Mac OSX.
Building a Big Data platform with the Hadoop ecosystemGregg Barrett
This presentation provides a brief insight into a Big Data platform using the Hadoop ecosystem.
To this end the presentation will touch on:
-views of the Big Data ecosystem and it’s components
-an example of a Hadoop cluster
-considerations when selecting a Hadoop distribution
-some of the Hadoop distributions available
-a recommended Hadoop distribution
Big Data is an evolution of Business Intelligence (BI).
Whereas traditional BI relies on data warehouses limited in size
(some terabytes) and it hardly manages unstructured data and
real-time analysis, the era of Big Data opens up a new technological
period offering advanced architectures and infrastructures
allowing sophisticated analyzes taking into account these new
data integrated into the ecosystem of the business . In this article,
we will present the results of an experimental study on the performance
of the best framework of Big Analytics (Spark) with the
most popular databases of NoSQL MongoDB and Hadoop. The
objective of this study is to determine the software combination
that allows sophisticated analysis in real time.
What Are The Best Databases for Web Applications In 2023.pdfLaura Miller
A database is used to store and manage structured & unstructured data in a system. Read the blog to know 2023's top seven databases for web applications.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
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.
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.
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.
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/
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
3. Introduction
A database is an organized collection of data. The data are
typically organized to model relevant aspects of reality in a way
that supports processes requiring this information.
Management systems (DBMSs) are specially designed applications
that interact with the user, other applications, and the database
itself to capture and analyze data.
Formally, the term database refers to the data itself and
supporting data structures. Databases are created to operate
large quantities of information by inputting, storing, retrieving,
and managing that information.
5. Characteristics
SQL is an ANSI and ISO standard computer language for creating and
manipulating databases.
SQL allows the user to create, update, delete, and retrieve data from a
database.
SQL is very simple and easy to learn.
High Speed: SQL Queries can be used to retrieve large amounts of
records from a database quickly and efficiently.
Well Defined Standards Exist: SQL databases use long-established standard,
which is being adopted by ANSI & ISO. Non-SQL databases do not adhere to
any clear standard.
No Coding Required: Using standard SQL it is easier to manage database
systems without having to write substantial amount of code.
Transactions – ACID Properties (Atomic, Consistent, Isolated, Durable)
6. What has happened?
Relational databases were introduced into the 1970s to allow applications to
store data through a standard data modeling and query language (SQL). Since
the rise of the web, the volume of data stored about users, objects,
products and events has exploded. Data is also accessed more frequently,
and is processed more intensively – for example, social networks create
hundreds of millions of customized, real-time activity feeds for users based
on their connections' activities.
In response to this demand, computing infrastructure and deployment
strategies have also changed dramatically. Low-cost, commodity cloud
hardware has emerged to replace vertical scaling on highly complex and
expensive single-server deployments. And engineers now use agile
development methods, which aim for continuous deployment and short
development cycles, to allow for quick response to user demand for
features.
8. But.. What’s NoSQL?
A NoSQL database provides a
mechanism for storage and retrieval
of data that employs less constrained
consistency models than traditional
relational databases.
NoSQL systems are also referred to as
"Not only SQL" to emphasize that
they do in fact allow SQL-like query
languages to be used.
9. Characteristics
Large data volumes (such as Google’s big data’)
Scalable replication and distribution
Potentially thousands of machines
Potentially distributed around the world
Queries need to return answers quickly
Mostly query, few updates
Asynchronous Inserts & Updates
Schema-less
ACID transaction properties are not needed – BASE (Basically Available, SoftState, Eventually Consistent).
CAP Theorem
Open source development
10. CAP Theorem
According to the theorem, a distributed
system cannot satisfy all three of these
guarantees at the same time.
Eventual consistency guarantees that if no
new updates are made to a given data item,
eventually all accesses to that item will
return the last updated value.
11. Taxonomy
The basic classification that most would
agree on is based on data model. A few
of these and their prototypes are:
Column: HBase, Accumulo
Document: MongoDB, Couchbase
Key-value : Dynamo, Riak, Redis, Cache,
Project Voldemort
Graph: Neo4J, Allegro, Virtuoso
12. MapReduce
A MapReduce program is composed of a Map() procedure that performs
filtering and sorting (such as sorting students by first name into queues, one
queue for each name) and a Reduce() procedure that performs a summary
operation (such as counting the number of students in each queue, yielding
name frequencies).
13. NoSQL is not a magic solution
Inconsistent APIs between NoSQL providers.
Denormalized data requires you to maintain you own data relationships
in code.
Not a lot of real operational power for DevOps / IT.
Lack of complicated queries requires joins / aggregations / filters to be
done in code (except for MapReduce).
Need whole value from the key to read or write any partial information.
14. NoSQL Use Cases:
SAP uses MongoDB as a core component of SAP’s platform- as-a-service
(PaaS) offering.
Foursquare uses MongoDB to store venues and user ‘check-ins’ into
venues, sharding the data over more than 25 machines on Amazon EC2.
MongoDB is used for back-end storage on the SourceForge front pages,
project pages, and download pages for all projects.
Codecademy is the easiest way to learn to code online.
Guardian.co.uk is a leading UK-based news website.
EA Sports: MongoDB is being used for the game feeds component.
15. NoSQL Use Cases:
AOL: “We selected Couchbase after evaluating several open source products
to power our next-generation backend ad serving platform”.
Zynga’s FarmVille, Café World, Mafia Wars and other games have over 235
million active users per month. We rely on technology from Couchbase to
make that possible.
In the PayPal Media Network Advertising Pipeline, Couchbase is used to build
a scalable cross channel audience profiling, segmentation, identity mapping
& frequency capping.
LinkedIn built a durable and scalable index for it's metrics visualization
engine using Couchbase.
Skyscanner scaled one of its flight search APIs from 100,000 searches a day
to over 3 million, introducing Couchbase on its tech stack.
16. Another use cases..
Netflix is using Amazon SimpleDB. Link
Twitter uses Cassandra, Hadoop, Hbase, amont others. Link
Facebook and Instagram, are both using Cassandra.
Google uses BigTable (equivalent to Hadoop HBase).
LinkedIn uses Voldemort.
Etc
17. Summary
This is just the tip of an iceberg.
Now on, the rest it’s on you!
SQL works great, cant scale for
large data.
NoSQL works great, cant fit for
all.
Use SQL + NoSQL
18. References
Base de Datos [Wikipedia]
SQL [Wikipedia]
NoSQL Distilled [Martin Fowler]
NoSQL vs. SQL - Battle of the Backends [Google IO12]
SQL Standard and NoSQL Databases
What is NoSQL? [MongoDB]
Why NoSQL? [Couchbase]
CouchDB: The Definitive Guide
BigTable Patent [Google]
21. JSON
JSON or JavaScript Object Notation, is a text-based open standard
designed for human-readable data interchange. Derived from the
JavaScript scripting language, JSON is a language for representing simple
data structures and associative arrays, called objects. Despite its
relationship to JavaScript, JSON is language-independent, with parsers
available for many languages.
Sample: