No sql understanding
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This document provides an introduction and overview of NoSQL databases. It discusses topics including what NoSQL is, how it differs from SQL databases, the CAP theorem, examples of the NoSQL ecosystem, use cases for NoSQL, and approaches to hybrid database designs. The document aims to explain key concepts about NoSQL beyond it just being a buzzword and demonstrates how big data is now common across many domains, from social media to healthcare.
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20150630 kca big-data-with-cloud_output
This document discusses building big data infrastructure with cloud services. It begins by defining key concepts of big data like the 4Vs according to NIST. It then discusses cloud computing based on NIST definitions of essential characteristics, service models, and how big data relates to cloud computing in terms of data storage, scale, and infrastructure. The document provides examples of implementing big data architectures in the cloud to handle data sources, data types, data processing workflows, and references NIST reference architectures. It emphasizes that software, data scientists, and talent will be most valuable resources for the future.
Migration and Coexistence between Relational and NoSQL Databases by Manuel H...
https://www.bigdataspain.org/2016/program/thu-migration-coexistence-between-relational-nosql-databases.html
https://www.youtube.com/watch?v=mM9pchslCn4&list=PL6O3g23-p8Tr5eqnIIPdBD_8eE5JBDBik&index=56&t=18s
One Database Countless Possibilities for Mission-critical Applications
This presentation was given during FairCom's 2016 Data Strategies Roadshow to Austin, New York City, and Salt Lake City by Evaldo Horn De Oliveira.
Database technology is difficult to predict, yet in 2016 the crossroads of SQL or NoSQL becomes more evident in many cases. This deck talks about not making a choice between one method or another, but finding a way to blend relational and non relational data within the same database.
c-treeACE V11 was announced in November 2015, and gives software developers a strong ability to build applications to use the speed of non-relational data, but have access to analyze data through SQL.
You can learn more about c-treeACE V11 at http://www.faircom.com/v11-is-here
Introduction to Bigdata and NoSQL
Big data refers to massive amounts of structured and unstructured data that is difficult to process using traditional databases due to its volume, velocity and variety. NoSQL databases provide an alternative for storing and analyzing big data by allowing flexible, schema-less models and scaling horizontally. While NoSQL databases offer benefits like flexibility and scalability, they also present challenges including lack of maturity compared to SQL databases and difficulties with analytics, administration and expertise.
Guide to NoSQL with MySQL
This document provides an overview of how MySQL can be used to deliver high scalability and availability while maintaining the benefits of relational data and rich queries. It discusses using Memcached APIs for NoSQL access to MySQL data, scaling MySQL with replication and sharding, and the capabilities of MySQL Cluster for auto-sharding, high availability, and online schema maintenance.
Big Data and Oracle - 2013
The document discusses how organizations can leverage big data through Oracle's integrated big data solutions. It describes Oracle's offerings for acquiring and organizing big data from various sources using products like Oracle NoSQL Database and Hadoop. It then discusses how Oracle solutions allow users to analyze large datasets using R and visualize insights in BI dashboards. Finally, it provides an overview of Oracle's Exalytics and Big Data Appliance hardware and software platforms for processing and managing big data at scale.
Horses for Courses: Database Roundtable
The blessing and curse of today's database market? So many choices! While relational databases still dominate the day-to-day business, a host of alternatives has evolved around very specific use cases: graph, document, NoSQL, hybrid (HTAP), column store, the list goes on. And the database tools market is teeming with activity as well. Register for this special Research Webcast to hear Dr. Robin Bloor share his early findings about the evolving database market. He'll be joined by Steve Sarsfield of HPE Vertica, and Robert Reeves of Datical in a roundtable discussion with Bloor Group CEO Eric Kavanagh. Send any questions to info@insideanalysis.com, or tweet with #DBSurvival.
Big Data Paris : Hadoop and NoSQL
This document discusses NoSQL databases and Hadoop. It begins with an introduction of Tugdual "Tug" Grall, a technical evangelist for Couchbase. It then discusses how the $30B database market is being disrupted by NoSQL technologies. It provides examples of operational and analytic databases like Couchbase, Cassandra, Cloudera, and Hadoop. The main challenges companies face with traditional databases are discussed. Finally, it provides an overview of what Sqoop is and how it transfers data between Hadoop and relational databases.
Oracle Big Data SQL
Oracle Big Data SQL is an integrated SQL engine that allows one fast and secure SQL query to access data across Oracle, Hadoop and NoSQL systems. It allows users to leverage existing SQL skills and tools to develop big data applications and analytics using a single query that spans Oracle databases, Hadoop and NoSQL, with massive parallelism and minimized data movement for fast results. For more information, contact Bizinsight Consulting Inc. at the provided email.
SQL vs NoSQL: Big Data Adoption & Success in the Enterprise
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
Expert Panel The Future of NoSQL Databases
NoSQL is a key pillar in many organizations’ data architectures. The term refers to a wide range of data platform architectures optimized for specific use cases, rather than to an all-purpose platform for all enterprise requirements. Under the NoSQL umbrella, many industry observers group such approaches as document, wide-column, key-value, and graph databases
In this panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of the future of NoSQL databases. They will discuss such issues as:
- What is NoSQL and what are the sweet-spot use cases for these disparate approaches?
- Is the longstanding distinction between NoSQL databases and traditional relational platforms disappearing in an era of multimodel databases?
- What are the optimal roles for NoSQL databases in enterprise data warehousing and data lake environments?
- How do organizations avoid introducing NoSQL siloes into enterprise data architectures?
Data architecture for modern enterprise
Synopsis: Modern enterprises anticipate business requirements and work proactively to optimise the outcomes. If they don’t renovate or reinvent their data architectures, they lose customers, and market share. So my talk will be in detailing the importance of data architecture, architectural challenges if is not addressed and a case study - the learnings and success story by fixing the issues at the root - at the data storage & access.
Target Audience: Principal Software engineers & Architects
Key Takeaways: Importance of Modern Data Architecture, PostgreSQL & JSONB
I have given a talk @ https://hasgeek.com/rootconf/elasticsearch-users-meetup-hyderabad/
Big data introduction, Hadoop in details
Are you lost between web pages and links to big data ?
I've collected all about big data and Hadoop togeather.
Relational Databases For An Efficient Data Management And...
This paper analyzes and compares MySQL and Neo4j databases. MySQL is a relational database that has been used for decades, while Neo4j is a graph database that is part of the emerging NoSQL technology. The paper reviews Neo4j and compares it to MySQL based on features such as ACID properties, replication, availability, and the languages used. The goal is to determine how well each database handles big data and complex relationships between entities. The analysis focuses on the differentiation between relational and graph-based approaches to data management.
The Perfect Storm: The Impact of Analytics, Big Data and Analytics
The document discusses the impacts of analytics, big data, and cloud computing. It notes that these trends are driving rapid business changes by enabling closed-loop businesses, massive information volumes, and increased collaboration. Recent technology advances like mobile apps, analytics, data processing improvements, and social/enterprise tools can help address emerging needs. Key points discussed include the growth of data sources and types, improvements in memory and parallel processing, and the evolving relationship between business and IT.
Big Data, NoSQL, NewSQL & The Future of Data Management
It is an exciting and interesting time to be involved in data. More change of influence has occurred in the database management in the last 18 months than has occurred in the last 18 years. New technologies such as NoSQL & Hadoop and radical redesigns of existing technologies, like NewSQL , will change dramatically how we manage data moving forward.
These technologies bring with them possibilities both in terms of the scale of data retained but also in how this data can be utilized as an information asset. The ability to leverage Big Data to drive deep insights will become a key competitive advantage for many organisations in the future.
Join Tony Bain as he takes us through both the high level drivers for the changes in technology, how these are relevant to the enterprise and an overview of the possibilities a Big Data strategy can start to unlock.
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NoSQL – Back to the Future or Yet Another DB Feature?
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No sql understanding
- 1. Understanding NoSqlUnderstanding NoSql Vivek Mishra Principal Consultant Knoldus Software LLP Vivek Mishra Principal Consultant Knoldus Software LLP
- 2. Topics CoveredTopics Covered NoSql Introduction NoSql! More than a buzzword Big data is everywhere RDBMS vs. NoSql CAP theorem NoSql ecosystem Use case exploration Hybrid design NoSql Introduction NoSql! More than a buzzword Big data is everywhere RDBMS vs. NoSql CAP theorem NoSql ecosystem Use case exploration Hybrid design
- 3. Introduction to NoSqlIntroduction to NoSql “Not Only SQL, Storage and retrieval of data with scalability and high availability”
- 4. NoSql! More than a buzzwordNoSql! More than a buzzword 40% have already invested in big data technology 4.4 millions of jobs in big data by 2015 1826 PB data floats over the Internet everyday. 80% of email shared over email are junk/Spam http://www.pc-wholesale.com/graphics.html http://www.kurtosys.com/blog/12-big-facts-about-big-data/ 48 hours of video are uploaded to YouTube every minute
- 5. Big data is everywhere!Big data is everywhere!
- 6. RDBMS vs NoSqlRDBMS vs NoSql Referencing schema Data co-location Fixed schema Budding schema Rich sql feature set Scalability & performance Compute on read(e.g. joins) Compute before storage http://www.123rf.com/clipart-vector/tug_of_war.htmlImage ref:
- 9. Use casesUse cases Analyze relationship between treatment and it’s outcome. Medical history predictive analysis Behavior target Payment Fraud Detection & risk management Social media & sentiment analysis Building recommendation engine
- 10. Hybrid designHybrid design On line Retail store Full text search User activity logs User credentials Product catalogue
- 11. Thank You!