Introduction To Big Data Analytics On Hadoop - SpringPeopleSpringPeople
48 hours of video are uploaded to YouTube every minute, resulting in nearly 8 years of content every day.
This is where comes the role of Big Data analytics so that huge amount of data can be maintained easily.
A brief introduction to Big Data Analytics On Hadoop.
Big Data Streams Architectures. Why? What? How?Anton Nazaruk
With a current zoo of technologies and different ways of their interaction it's a big challenge to architect a system (or adopt existed one) that will conform to low-latency BigData analysis requirements. Apache Kafka and Kappa Architecture in particular take more and more attention over classic Hadoop-centric technologies stack. New Consumer API put significant boost in this direction. Microservices-based streaming processing and new Kafka Streams tend to be a synergy in BigData world.
Introduction To Big Data Analytics On Hadoop - SpringPeopleSpringPeople
48 hours of video are uploaded to YouTube every minute, resulting in nearly 8 years of content every day.
This is where comes the role of Big Data analytics so that huge amount of data can be maintained easily.
A brief introduction to Big Data Analytics On Hadoop.
Big Data Streams Architectures. Why? What? How?Anton Nazaruk
With a current zoo of technologies and different ways of their interaction it's a big challenge to architect a system (or adopt existed one) that will conform to low-latency BigData analysis requirements. Apache Kafka and Kappa Architecture in particular take more and more attention over classic Hadoop-centric technologies stack. New Consumer API put significant boost in this direction. Microservices-based streaming processing and new Kafka Streams tend to be a synergy in BigData world.
Slides from the August 2021 St. Louis Big Data IDEA meeting from Sam Portillo. The presentation covers AWS EMR including comparisons to other similar projects and lessons learned. A recording is available in the comments for the meeting.
Introduction to Big Data Hadoop Training Online by www.itjobzone.bizITJobZone.biz
Want to learn Hadoop online? This PPT give you Introduction to Big Data Hadoop Training Online by expert trainers at ITJobZone.biz - Start your Hadoop Online training with this Presentation.
Next Generation Data Platforms - Deon ThomasThoughtworks
A new generation of technologies and architectures designed to economically extract value from very large volumes of a wide variety of data, by enabling high velocity capture, discovery and/or analysis.
How to boost your datamanagement with Dremio ?Vincent Terrasi
Works with any source. Relational, non-relational, 3rd party apps. 5 years ago nobody was using Hadoop, MongoDB, and 5 years from now there will be new products. You need a solution that is future proof.
Works with any BI tool. In every company multiple tools are in use. Each department has their favorite. We need to work with all of them.
No ETL, data warehouse, cubes. This would need to give you a really good alternative to these options.
Makes data self-service, collaborative. Probably most important of all, we need to change the dynamic between the business and IT. We need to make it so business users can get the data they want, in the shape they want it, without waiting on IT.
Makes Big Data feels small. It needs to make billions of rows feel like a spreadsheet on your desktop.
Open source. It’s 2017, so we think this has to be open source.
Big Data brings big promise and also big challenges, the primary and most important one being the ability to deliver Value to business stakeholders who are not data scientists!
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarioskcmallu
What's the origin of Big Data? What are the real life usage scenarios where Hadoop has been successfully adopted? How do you get started within your organizations?
Slides from the August 2021 St. Louis Big Data IDEA meeting from Sam Portillo. The presentation covers AWS EMR including comparisons to other similar projects and lessons learned. A recording is available in the comments for the meeting.
Introduction to Big Data Hadoop Training Online by www.itjobzone.bizITJobZone.biz
Want to learn Hadoop online? This PPT give you Introduction to Big Data Hadoop Training Online by expert trainers at ITJobZone.biz - Start your Hadoop Online training with this Presentation.
Next Generation Data Platforms - Deon ThomasThoughtworks
A new generation of technologies and architectures designed to economically extract value from very large volumes of a wide variety of data, by enabling high velocity capture, discovery and/or analysis.
How to boost your datamanagement with Dremio ?Vincent Terrasi
Works with any source. Relational, non-relational, 3rd party apps. 5 years ago nobody was using Hadoop, MongoDB, and 5 years from now there will be new products. You need a solution that is future proof.
Works with any BI tool. In every company multiple tools are in use. Each department has their favorite. We need to work with all of them.
No ETL, data warehouse, cubes. This would need to give you a really good alternative to these options.
Makes data self-service, collaborative. Probably most important of all, we need to change the dynamic between the business and IT. We need to make it so business users can get the data they want, in the shape they want it, without waiting on IT.
Makes Big Data feels small. It needs to make billions of rows feel like a spreadsheet on your desktop.
Open source. It’s 2017, so we think this has to be open source.
Big Data brings big promise and also big challenges, the primary and most important one being the ability to deliver Value to business stakeholders who are not data scientists!
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarioskcmallu
What's the origin of Big Data? What are the real life usage scenarios where Hadoop has been successfully adopted? How do you get started within your organizations?
How One Company Offloaded Data Warehouse ETL To Hadoop and Saved $30 MillionDataWorks Summit
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The Value of the Modern Data Architecture with Apache Hadoop and Teradata Hortonworks
This webinar discusses why Apache Hadoop most typically the technology underpinning "Big Data". How it fits in a modern data architecture and the current landscape of databases and data warehouses that are already in use.
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Significant reduction in costs for processing, managing, and storing data, combined with the need for business agility and analytics, requires CIOs and enterprise architects to rethink their enterprise data architecture and develop a next-generation approach to solve the complexities of Big Data.
Creating the data architecture while integrating Big Data into the heart of the enterprise data architecture is a challenge. This webinar covered:
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Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
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A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
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Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
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For more Tendenci AMS events, check out www.tendenci.com/events
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
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Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
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Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Accelerate Enterprise Software Engineering with PlatformlessWSO2
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Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
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Venez le découvrir lors de cette session ignite
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
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Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
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Large Language Models and the End of ProgrammingMatt Welsh
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Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
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In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
2. Part I Recap
Big Data Market
› Data Growth
› Market Growth
› Market Drivers
› Adoption Cycle
› Forrester Market Report Findings
Big Data Products
› Enterprise Data Warehouses (EDW) – non-canonical, traditional
› Big Data Products Offering
› Hadoop and its Distros
› MapR and Others
› Big Data Products Stack
Future of Big Data
3. Data Science vs Traditional Analytics
Traditional Analytics - Decide what data is relevant, create a static data model, data visualize
Data Science – Assemble all possible data, create a predictive model, operationalize the
model (visualize, feed to another system)
Three types of data stores/data management systems
› Relational vs non-relational [MSSQL, Oracle, MySql vs NoSql products]
› Relational “big data” offering called EDW (mostly packaged as MPP appliances)
› Each three types has merits in certain use cases and will be continued to be used in
the industry
› Why EDW is not enough for new “big data” scenarios
Three V’s becoming too heavy
Time to Market is delayed
High Cost
Write-first schema unnecessary
Importance of Individualized experience
› Another Sample case: Money found $ 1000 in front of a bank, Will a person return it to the bank or
runaway with it?
› Multiple business cases and multiple use cases
Hadoop as the premier open source “big data” offering and its distros
Other Hadoop-like “big data” offerings
7. Market Drivers
› Business Drivers
Reactive Analytics instead Proactive Analytics
Insights generated for competitive advantage
Rise of Data-First enterprise
› Technical Drivers
Data growing exponentially to petabyte scale
Data is everywhere with variety of formats
› Financial Drivers
Cost of IT continues to grow
Commodity hardware instead Enterprise hardware
8. Forrester Market Report Findings
› Unstoppable Hadoop momentum in the market
› More and more enterprises wants to do POC’s
› Open source is the key
› Many Big Data products – a fair amount products to chose
from. But no market dominating leader yet.
Hadoop distributions
Other products including MapR
› Enterprise Hadoop and partnerships with large vendors
IBM, TeraData, Pivotal, Microsoft
› Hadoop in the cloud
› Hadoop Ecosystem
9. Enterprise Data Warehouses (EDWs)
› Traditional big data offering
› Non-canonical or original way of storing large data sets
› Refer to Part I slides
11. Hadoop and its distros
› History of Hadoop
› Hadoop as a Platform
HortonWorks Data Platform (HDP)
Cloudera Distribution on Hadoop (CDH)
12. Big Vendors
› IBM’s BigInsights – This is a Hadoop distro through Cloudera’s CDH
› Microsoft’s HDInsight on Azure – this is a Hadoop distro through
HortonWorks’ HDP
› SAP’s HANA – this is a Hadoop distro through HortonWorks’ HDP
13. MapR and Others
› Instead HDFS MapR uses Network File System (NFS)
› MapR Distros
Open source M3 in Amazon Cloud
Premium M5 in Amazon Cloud
MapR distro on Google
› Others
14. Amazon EMR
› A Hadoop distro on Amazon EC2 clusters in the Amazon cloud
› Exposed a Web service to manage the clusters
› Most popular and cost-effective distro apart from Cloudera and
HortonWorks
15. Hybrids
› Converging SQL Enterprise Data Warehouses (specially MPP
products) with Big Data
› The investments made for long running contracts with EDW vendors
are safeguarded
› Existing SQL/DW knowledge and skill set can be utilized
› Following are popular products:
17. Market leader by 2020
Many products and alternatives are coming our way
5Vs-driven ecosystem instead 3Vs
Demanding skill-set around the Big Data technologies
› Enterprise Hadoop,
› Hadoop Distros,
› MapR and its Distros,
› Hadoop stack,
› Application Frameworks and languages
“R” language and frameworks
Scala language and frameworks
Subjective evolution instead objective evolution
› Improvements to Big Data Infrastructure (BDI)
› Improvements to Big Data Life Cycle (BDLC)
› Evolve to All-Data processing
Editor's Notes
Sample - Non “Big Data” scenario - http://www.gloria.de/Pages/Home.aspx. Small information web site, small data set, no growth expected, enough with relational model data.
