The document summarizes a meetup about NoSQL databases hosted by AWS in Sydney in 2012. It includes an agenda with presentations on Introduction to NoSQL and using EMR and DynamoDB. NoSQL is introduced as a class of databases that don't use SQL as the primary query language and are focused on scalability, availability and handling large volumes of data in real-time. Common NoSQL databases mentioned include DynamoDB, BigTable and document databases.
“not only SQL.”
NoSQL databases are databases store data in a format other than relational tables.
NoSQL databases or non-relational databases don’t store relationship data well.
“not only SQL.”
NoSQL databases are databases store data in a format other than relational tables.
NoSQL databases or non-relational databases don’t store relationship data well.
MongoDB is the most famous and loved NoSQL database. It has many features that are easy to handle when compared to conventional RDBMS. These slides contain the basics of MongoDB.
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.
This presentation explains the major differences between SQL and NoSQL databases in terms of Scalability, Flexibility and Performance. It also talks about MongoDB which is a document-based NoSQL database and explains the database strutre for my mouse-human research classifier project.
This presentation contains the introduction to NOSQL databases, it's types with examples, differentiation with 40 year old relational database management system, it's usage, why and we should use it.
This presentation is related to nosql database and nosql database types information. this presentationa also contains discussion about, how mongodb works and mongodb security and mongodb sharding information.
Apache HBase™ is the Hadoop database, a distributed, salable, big data store.Its a column-oriented database management system that runs on top of HDFS.
Apache HBase is an open source NoSQL database that provides real-time read/write access to those large data sets. ... HBase is natively integrated with Hadoop and works seamlessly alongside other data access engines through YARN.
MongoDB is the most famous and loved NoSQL database. It has many features that are easy to handle when compared to conventional RDBMS. These slides contain the basics of MongoDB.
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.
This presentation explains the major differences between SQL and NoSQL databases in terms of Scalability, Flexibility and Performance. It also talks about MongoDB which is a document-based NoSQL database and explains the database strutre for my mouse-human research classifier project.
This presentation contains the introduction to NOSQL databases, it's types with examples, differentiation with 40 year old relational database management system, it's usage, why and we should use it.
This presentation is related to nosql database and nosql database types information. this presentationa also contains discussion about, how mongodb works and mongodb security and mongodb sharding information.
Apache HBase™ is the Hadoop database, a distributed, salable, big data store.Its a column-oriented database management system that runs on top of HDFS.
Apache HBase is an open source NoSQL database that provides real-time read/write access to those large data sets. ... HBase is natively integrated with Hadoop and works seamlessly alongside other data access engines through YARN.
The presentation begins with an overview of the growth of non-structured data and the benefits NoSQL products provide. It then provides an evaluation of the more popular NoSQL products on the market including MongoDB, Cassandra, Neo4J, and Redis. With NoSQL architectures becoming an increasingly appealing database management option for many organizations, this presentation will help you effectively evaluate the most popular NoSQL offerings and determine which one best meets your business needs.
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.
This month we were joined by Gerald from Contino who answered the question on why friends don't let friends build landing zones.
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Our monthly AWS User Group Sydney presentation night.
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Our monthly AWS User Group Sydney presentation night.
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Introductions and What's New In AWS - by PolarSeven"
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Introduction to NoSQL
1. AWS Sydney Meetup 2012
• Agenda
– Introductions
• 18.00 – 20.00
• First Wednesday of the month
• Takers on Co Organizing meetup group
• Future presentations
– Presentations
• Introduction to NoSql - Darrell King, AWS Architect
• EMR and Dynamo DB – Sohail Khan, AWS/Salesforce Consultant
– Q&A Session
2. NoSQL Definition
• NoSQL is a broad class of database that differs
from the classic RDBMS in some significant
ways, most important being they do not use
SQL as their primary query language.
– NOSQL means Not Only SQL, as in: in the future,
our backends will consist of Not Only SQL
databases but also key-value stores, graph
databases and more.
3. NoSQL Drivers
• Google, Facebook and Twitter
– Real time data out of large volumes of data
– Performance and Real Time more important then consistency
• RDBMS Problems
– Inability to scale
– Demands of big data and elastic provisioning
• Big Data
– Big data is a term applied to data sets whose size is beyond the
ability of commonly used software tools to capture, manage,
and process the data within a tolerable elapsed time. Big data
sizes are a constantly moving target currently ranging from a
few dozen terabytes to many petabytes of data in a single data
set.
4. NoSQL
• NoSQL is all about scalability
– Scaling to size
– Scaling to complexity
• Deliver Heavy R/W workloads.
• Eventual consistency
5. NoSQL
– Eric Brewer’s CAP theorem says that if you want
consistency, availability, and partition tolerance,
you have to settle for two out of three. (For a distributed
system, partition tolerance means the system will continue to work unless there is
a total network failure. A few nodes can fail and the system keeps going.)
– Consistency means that each client always has the same view of the data.
– Availability means that all clients can always read and write.
– Partition tolerance means that the system works well across physical network
partitions.
6.
7. Emerging Categories of NoSQL
1. key-stores without an explicit data model
– many based on Amazon's Dynamo key-value store.
2. Others influenced by Google's BigTable
database
– which supports Google products such as Google Maps and Google
Reader.
3. Document databases store highly structured
self-describing objects
4. Graph databases store complex relationships
– such as those found in social networks.
10. Amazon DynamoDB
• Fully managed NoSQL database
• Released January 18th 2012
• Service based on throughput rather then
storage
• HW – SSD allow predictable performance
Also interesting that they mentioned hardware at all!!
• Similar to managed version of Cassandra
11. Amazon DynamoDB
• Consistency
– DynamoDB writes are always consistent
– Reads are consistent, or eventually consistent
• Durability
– All writes occur to disk, not memory
– A write is only committed once it exists in at least two
physical data centers
• Availability
– Regional Service
– Spans multiple AZ’s
– All data continuously replicated to multiple AZ’s
12. Amazon Elastic MapReduce
• Aim
– Process vast amounts of data
• Hosted
– Hadoop framework (Clusters) (hive)
– EC2 and S3
• Examples
– Web Indexing, Data mining, Log file analysis
13. Elastic MapReduce with DynamoDB
• Seamless Integration
• Complementing technologies
• Managing, analysing and monetising Big Data
• What it fixes
– Cost of admin, maintenance and upfront costs
– Effortless scalability
14. Source/Further Reading
• NoSQL Ecosystem
– http://blog.nahurst.com/visual-guide-to-nosql-systems
• NOSQL: scaling to size and scaling to complexity
– http://blogs.neotechnology.com/emil/2009/11/nosql-scaling-to-size-and-scaling-to-
complexity.html
• Google: MoreSQL is Real
– http://williamedwardscoder.tumblr.com/post/16399069781/google-moresql-is-real
• Visual Guide to NoSQL Systems
– http://blog.nahurst.com/visual-guide-to-nosql-systems
• Brewer’s Keynote
– http://www.cs.berkeley.edu/~brewer/cs262b-2004/PODC-keynote.pdf
• Overview of NoSQL
– http://youtu.be/sh1YACOK_bo
15. Source/Further Reading
• CAP Theorem
– http://mysqlha.blogspot.com.au/2010/04/cap-theorem.html
• Plain English Intro to CAP Theorem
– http://ksat.me/a-plain-english-introduction-to-cap-theorem/
• Availability and Partition Tolerance
– http://ksat.me/a-plain-english-introduction-to-cap-theorem/
• Nancy Lunch’s 2002 SIGACT paper proving CAP theorm
– http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.20.1495&rep=rep1&type=p
df
• NOSQL for Dummies
– http://www.slideshare.net/thobe/nosql-for-dummies
Editor's Notes
Hi and thank you all for coming this evening. My name is Darrell King and this here is Sohail. We are AWS consultants based here in Sydney and working for a consultancy company called ProQuest. ProQuest have also been sponsoring this even up until now. This is our first event this year and it looks like a good turn out. Thanks for coming.
ACID v’s BASEAtomic: Everything in a transaction succeeds or the entire transaction is rolled back.Consistent: A transaction cannot leave the database in an inconsistent state.Isolated: Transactions cannot interfere with each other.Durable: Completed transactions persist, even when servers restart etc.NoSQL db’s are based on BASEBasic AvailabilitySoft-stateEventual consistency
Although NoSQL is a new term and only around for a year or so. In reality it has been around for years, resolving the issues of scalability with RDBMS.Google, Facebook, Amazon and other huge web sites, therefore, developed non-relational databases that sacrificed consistency for availability and scalability.
Consistency means that each client always has the same view of the data.Availability means that all clients can always read and write.Partition tolerance means that the system works well across physical network partitions.
Consistency means that each client always has the same view of the data.Availability means that all clients can always read and write.Partition tolerance means that the system works well across physical network partitions.
Within the NoSQL zoo, there areSome NoSQL databases are pure key-stores without an explicit data model, with many based on Amazon's Dynamo key-value store.Others are heavily influenced by Google's BigTable database, which supports Google products such as Google Maps and Google Reader.Document databases store highly structured self-describing objects, usually in an XML-like format called JSON.Finally, graph databases store complex relationships such as those found in social networks. several distinct family trees.
Some other categories.
Designed to addressManagementPerformanceScalabilityReliabilityReplicated across AZ’s
Designed to addressManagementPerformanceScalabilityReliabilityReplicated across AZ’s