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Al Tobey presenting on Tunable Consistency at the Tokyo Cassandra Summit 2014.
Tokyo Cassandra Summit 2014: Tunable Consistency by Al Tobey
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The deck describes ScyllaDB's flagship product - a drop and replacement alternative to Apache Cassandra at 10X the speed. ScyllaDB innovative design relies on shard-per-core, own caching and c++ to deliver blazing and consistent performance. Check the deck on how this was achieved.
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As we move into the world of Big Data and the Internet of Things, the systems architectures and data models we've relied on for decades are becoming a hindrance. At the core of the problem is the read-modify-write cycle. In this session, Al will talk about how to build systems that don't rely on RMW, with a focus on Cassandra. Finally, for those times when RMW is unavoidable, he will cover how and when to use Cassandra's lightweight transactions and collections.
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Al Tobey presenting on Tunable Consistency at the Tokyo Cassandra Summit 2014.
Tokyo Cassandra Summit 2014: Tunable Consistency by Al Tobey
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DataStax Academy
The deck describes ScyllaDB's flagship product - a drop and replacement alternative to Apache Cassandra at 10X the speed. ScyllaDB innovative design relies on shard-per-core, own caching and c++ to deliver blazing and consistent performance. Check the deck on how this was achieved.
Scylla db deck, july 2017
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Meetup deck on ScyllaDB, the next generation Cassandra
Scylla db@sf data meetup, dec 1 2015
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ScyllaDB presentation at local Cassandra user group meetup
Scylla db@cassandra meetup, tlv, 2015
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Dor Laor
Delivery of a new Bio-informatics infrastructure at the Wellcome Trust Sanger Center. We include how to programatically create, manage and provide providence for images used both at Sanger and elsewhere using open source tools and continuous integration.
Sanger, upcoming Openstack for Bio-informaticians
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Sanger has a vision of performing world class bio-informatics research for the benefit of human health. As research continues to generate new spinout companies, they require a flexible and cost effective way of bringing services to life as required and with the SLA's and performance that they need for a cost that they can afford. This presentation walks through how Sanegr IT have created such a platform.
Introducing SciaaS @ Sanger
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Apache cassandra 4.0 nio Report
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As we move into the world of Big Data and the Internet of Things, the systems architectures and data models we've relied on for decades are becoming a hindrance. At the core of the problem is the read-modify-write cycle. In this session, Al will talk about how to build systems that don't rely on RMW, with a focus on Cassandra. Finally, for those times when RMW is unavoidable, he will cover how and when to use Cassandra's lightweight transactions and collections.
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The slides are created for the "Hadoop User Group Vienna", a Meetup that gathers Hadoop users in Vienna on September 6, 2017. The content of the slides correspond to the first talk, which discussed the concepts, terminology and disaster recovery capabilities in the Hadoop ecosystem.
Disaster Recovery in the Hadoop Ecosystem: Preparing for the Improbable
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10 different Cassandra distributions and variants ranging from Cassandra / Cassandra Compliant Databases on JVM, Cassandra Compliant Databases on C++, Cassandra as a Service / Managed Cassandra Based on Open Source Cassandra, and Cassandra as a Service / Managed Cassandra Based on Proprietary Technology.
Cassandra Distributions and Variants
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Anant Corporation
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Richard Low of Acunu presented some performance results demonstrating how marvelous Acunu's distribution of Cassandra is compared to the vanilla version. There's a related blog post with updated range query results here: http://www.acunu.com/2011/03/cassandra-under-heavy-write-load-part-ii/
Acunu Cassandra London Meetup
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Acunu
DataStax's Vision 06.12.2013 (CassandraSF 2013)
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joaquincasares
Cassandra Summit 2015 - My session on using cassandra surely but make sure you use it effectively. Early morning, and still full house.fully awake great audience too.but if you missed it, you missed it.slideshare can’t undo but here's it anyway :-) [moved to my rekhajoshm official slideshare account; with side effects of loss of stats]
Cassandra_Summit'2015:Using_Cassandra_Effectively
Cassandra_Summit'2015:Using_Cassandra_Effectively
peas2bees
As a speaker at Cassandra Summit 2015, my slides on reporting from trenches. My session on using cassandra surely but make sure you use it effectively. Early morning, and still full house.fully awake great audience too.but if you missed it, you missed it.slideshare can’t undo but here's it anyway :-) [moved from my peas2bees unofficial slideshare account; with side effects of loss of stats]
CassandraSummit'2015:Reporting From Trenches: Using Cassandra Effectively!
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An introduction to the fundamental concepts behind Apache Cassandra. This talk explains the engineering principles that make Cassandra such an attractive choice for building highly resilient and available systems and then goes on to explain how to use it - covering basic data modelling patterns and anti-patterns.
Cassandra concepts, patterns and anti-patterns
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Slides from Sage Weil's presentation at LISA'12 in San Diego - Dec 2012.
Ceph LISA'12 Presentation
Ceph LISA'12 Presentation
Ceph Community
963
963
Annu Ahmed
Three use cases of Apache Cassandra in real-world implementations and the best practices distilled from such.
Stampede con 2014 cassandra in the real world
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zznate
n this talk we will address how we developed our Cassandra environments utilizing Cisco UCS Open Stack Platform with the DataStax Enterprise Edition software. In addition we are utilizing OpenSource CEPH storage in our Infrastructure to optimize the Performance and reduce the costs.
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Cisco: Cassandra adoption on Cisco UCS & OpenStack
DataStax Academy
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Architectures for High Availability - QConSF
Architectures for High Availability - QConSF
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Introduction to Amazon Web Services re:Invent recap - Dec 14, Amsterdam
AWS Welcome to re:Invent recap - 20161214
AWS Welcome to re:Invent recap - 20161214
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At Spotify we run over 100 Cassandra clusters, from small 3 node clusters to clusters with up to 100 nodes. Many of them are multi-datacenter clusters. I will talk about the challenges of having so many clusters and what tools we are using and have built for managing them. There will also be some war stories of when we have failed
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AWS Re:Invent 2012 presentation from Netflix which covers how to optimize cost and usage of your AWS resources. Areas of focus are Autoscaling EC2 instances, batch access of SQS, and improved S3 usage.
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Cassandra SF meetup, October 2013
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Contenu connexe
Similaire à Acunu overview
The slides are created for the "Hadoop User Group Vienna", a Meetup that gathers Hadoop users in Vienna on September 6, 2017. The content of the slides correspond to the first talk, which discussed the concepts, terminology and disaster recovery capabilities in the Hadoop ecosystem.
Disaster Recovery in the Hadoop Ecosystem: Preparing for the Improbable
Disaster Recovery in the Hadoop Ecosystem: Preparing for the Improbable
Stefan Kupstaitis-Dunkler
10 different Cassandra distributions and variants ranging from Cassandra / Cassandra Compliant Databases on JVM, Cassandra Compliant Databases on C++, Cassandra as a Service / Managed Cassandra Based on Open Source Cassandra, and Cassandra as a Service / Managed Cassandra Based on Proprietary Technology.
Cassandra Distributions and Variants
Cassandra Distributions and Variants
Anant Corporation
Wide Column Store for BigData
Cassandra
Cassandra
kspichale
Cassandra
Cassandra
spichale
Richard Low of Acunu presented some performance results demonstrating how marvelous Acunu's distribution of Cassandra is compared to the vanilla version. There's a related blog post with updated range query results here: http://www.acunu.com/2011/03/cassandra-under-heavy-write-load-part-ii/
Acunu Cassandra London Meetup
Acunu Cassandra London Meetup
Acunu
DataStax's Vision 06.12.2013 (CassandraSF 2013)
DataStax's Vision 06.12.2013 (CassandraSF 2013)
joaquincasares
Cassandra Summit 2015 - My session on using cassandra surely but make sure you use it effectively. Early morning, and still full house.fully awake great audience too.but if you missed it, you missed it.slideshare can’t undo but here's it anyway :-) [moved to my rekhajoshm official slideshare account; with side effects of loss of stats]
Cassandra_Summit'2015:Using_Cassandra_Effectively
Cassandra_Summit'2015:Using_Cassandra_Effectively
peas2bees
As a speaker at Cassandra Summit 2015, my slides on reporting from trenches. My session on using cassandra surely but make sure you use it effectively. Early morning, and still full house.fully awake great audience too.but if you missed it, you missed it.slideshare can’t undo but here's it anyway :-) [moved from my peas2bees unofficial slideshare account; with side effects of loss of stats]
CassandraSummit'2015:Reporting From Trenches: Using Cassandra Effectively!
CassandraSummit'2015:Reporting From Trenches: Using Cassandra Effectively!
Rekha Joshi
An introduction to the fundamental concepts behind Apache Cassandra. This talk explains the engineering principles that make Cassandra such an attractive choice for building highly resilient and available systems and then goes on to explain how to use it - covering basic data modelling patterns and anti-patterns.
Cassandra concepts, patterns and anti-patterns
Cassandra concepts, patterns and anti-patterns
Dave Gardner
Slides from Sage Weil's presentation at LISA'12 in San Diego - Dec 2012.
Ceph LISA'12 Presentation
Ceph LISA'12 Presentation
Ceph Community
963
963
Annu Ahmed
Three use cases of Apache Cassandra in real-world implementations and the best practices distilled from such.
Stampede con 2014 cassandra in the real world
Stampede con 2014 cassandra in the real world
zznate
n this talk we will address how we developed our Cassandra environments utilizing Cisco UCS Open Stack Platform with the DataStax Enterprise Edition software. In addition we are utilizing OpenSource CEPH storage in our Infrastructure to optimize the Performance and reduce the costs.
Cisco: Cassandra adoption on Cisco UCS & OpenStack
Cisco: Cassandra adoption on Cisco UCS & OpenStack
DataStax Academy
Vish Ishaya, Nova, Folsom presentation, Fri, 4/20, Compute/Nova PTL
Nova, Folsom presentation, Compute PTL
Nova, Folsom presentation, Compute PTL
laurabeckcahoon
Architecture talk aimed at a well informed developer audience (i.e. QConSF Real Use Cases for NoSQL track), focused mainly on availability. Skips the Netflix cloud migration stuff that is in other talks.
Architectures for High Availability - QConSF
Architectures for High Availability - QConSF
Adrian Cockcroft
Introduction to Amazon Web Services re:Invent recap - Dec 14, Amsterdam
AWS Welcome to re:Invent recap - 20161214
AWS Welcome to re:Invent recap - 20161214
Amazon Web Services
At Spotify we run over 100 Cassandra clusters, from small 3 node clusters to clusters with up to 100 nodes. Many of them are multi-datacenter clusters. I will talk about the challenges of having so many clusters and what tools we are using and have built for managing them. There will also be some war stories of when we have failed
Scaling Cassandra in all directions - Jimmy Mardell Spotify
Scaling Cassandra in all directions - Jimmy Mardell Spotify
Evention
Intel Enhancements on Hadoop platform - HDFS Erasure coding using ISA-L library Encryption using AES-NI -HBase Go Big Cache
Hadoop enhancements using next gen IA technologies
Hadoop enhancements using next gen IA technologies
Bigdata Meetup Kochi
AWS Re:Invent 2012 presentation from Netflix which covers how to optimize cost and usage of your AWS resources. Areas of focus are Autoscaling EC2 instances, batch access of SQS, and improved S3 usage.
AWS Re:Invent - Optimizing Costs with AWS
AWS Re:Invent - Optimizing Costs with AWS
Coburn Watson
Kafka, Spark, and Cassandra on IOT presented by Ben Bromhead, Co-founder, CTO, Instaclustr, that is DB as a Services company in US.
Kafka spark cassandra webinar feb 16 2016
Kafka spark cassandra webinar feb 16 2016
Hiromitsu Komatsu
Similaire à Acunu overview
(20)
Disaster Recovery in the Hadoop Ecosystem: Preparing for the Improbable
Disaster Recovery in the Hadoop Ecosystem: Preparing for the Improbable
Cassandra Distributions and Variants
Cassandra Distributions and Variants
Cassandra
Cassandra
Cassandra
Cassandra
Acunu Cassandra London Meetup
Acunu Cassandra London Meetup
DataStax's Vision 06.12.2013 (CassandraSF 2013)
DataStax's Vision 06.12.2013 (CassandraSF 2013)
Cassandra_Summit'2015:Using_Cassandra_Effectively
Cassandra_Summit'2015:Using_Cassandra_Effectively
CassandraSummit'2015:Reporting From Trenches: Using Cassandra Effectively!
CassandraSummit'2015:Reporting From Trenches: Using Cassandra Effectively!
Cassandra concepts, patterns and anti-patterns
Cassandra concepts, patterns and anti-patterns
Ceph LISA'12 Presentation
Ceph LISA'12 Presentation
963
963
Stampede con 2014 cassandra in the real world
Stampede con 2014 cassandra in the real world
Cisco: Cassandra adoption on Cisco UCS & OpenStack
Cisco: Cassandra adoption on Cisco UCS & OpenStack
Nova, Folsom presentation, Compute PTL
Nova, Folsom presentation, Compute PTL
Architectures for High Availability - QConSF
Architectures for High Availability - QConSF
AWS Welcome to re:Invent recap - 20161214
AWS Welcome to re:Invent recap - 20161214
Scaling Cassandra in all directions - Jimmy Mardell Spotify
Scaling Cassandra in all directions - Jimmy Mardell Spotify
Hadoop enhancements using next gen IA technologies
Hadoop enhancements using next gen IA technologies
AWS Re:Invent - Optimizing Costs with AWS
AWS Re:Invent - Optimizing Costs with AWS
Kafka spark cassandra webinar feb 16 2016
Kafka spark cassandra webinar feb 16 2016
Plus de Acunu
A use case (Hailo, taxi eHailing app) for Acunu's realtime analytics on cassandra nosql
Acunu and Hailo: a realtime analytics case study on Cassandra
Acunu and Hailo: a realtime analytics case study on Cassandra
Acunu
Cassandra SF meetup, October 2013
Virtual nodes: Operational Aspirin
Virtual nodes: Operational Aspirin
Acunu
Hailo, the taxi app, has served more than 5 million passengers in 15 cities and has taken fares of $100 million this year. I'm going to talk about how that rapid growth has been powered by a platform based on Cassandra and operational analytics and insights powered by Acunu Analytics. I'll cover some challenges and lessons learned from scaling fast!
Acunu Analytics and Cassandra at Hailo All Your Base 2013
Acunu Analytics and Cassandra at Hailo All Your Base 2013
Acunu
Understanding Cassandra internals to solve real-world problems
Understanding Cassandra internals to solve real-world problems
Acunu
Talk for the Cassandra Seattle Meetup April 2013: http://www.meetup.com/cassandra-seattle/events/114988872/ Cassandra's got some properties which make it an ideal fit for building real-time analytics applications -- but getting from atomic increments to live dashboards and streaming queries is quite a stretch. In this talk, Tim Moreton, CTO at Acunu, talks about how and why they built Acunu Analytics, which adds rich SQL-like queries and a RESTful API on top of Cassandra, and looks at how it keeps Cassandra's spirit of denormalization under the hood.
Acunu Analytics: Simpler Real-Time Cassandra Apps
Acunu Analytics: Simpler Real-Time Cassandra Apps
Acunu
Slides from Tim Moreton's talk on "Apache Cassandra and Why BASE is great for real-time analytics" from All Your Base. Nov 23, 2012.
All Your Base
All Your Base
Acunu
The latest version of my talk, as given at the NoSQL Roadshow Amasterdam, 29th Nov 2012
Realtime Analytics with Apache Cassandra
Realtime Analytics with Apache Cassandra
Acunu
My talk from JAX London on Realtime Analytics with Apache Cassandra; I covered simple aggregates through to approximate analytical functions.
Realtime Analytics with Apache Cassandra - JAX London
Realtime Analytics with Apache Cassandra - JAX London
Acunu
Talk given at Denormalised London, 2012-09-20. Discussion of what a real-time system needs to do and why Cassandra is a good fit.
Real-time Cassandra
Real-time Cassandra
Acunu
Slides from my tutorial at Denormalized London on 21 Sept 2012
Realtime Analytics on the Twitter Firehose with Apache Cassandra - Denormaliz...
Realtime Analytics on the Twitter Firehose with Apache Cassandra - Denormaliz...
Acunu
My talk at NoSQL Now 2012
Realtime Analytics with Cassandra
Realtime Analytics with Cassandra
Acunu
My talk about Acunu Analytics - for video see http://skillsmatter.com/podcast/nosql/acunu-analytics
Acunu Analytics @ Cassandra London
Acunu Analytics @ Cassandra London
Acunu
Slides from our webinar on "Exploring Big Data value for your business." Delivered by Andy Ormsby. V
Exploring Big Data value for your business
Exploring Big Data value for your business
Acunu
Tutorial given by Tom Wilkie at Progressive NoSQL conference, 11/5/12
Realtime Analytics on the Twitter Firehose with Cassandra
Realtime Analytics on the Twitter Firehose with Cassandra
Acunu
Tom Wilkie's talk at Progressive NOSQL conference in London on 11/05/12.
Progressive NOSQL: Cassandra
Progressive NOSQL: Cassandra
Acunu
Slides from Matt Aslett's presentation at Cassandra Europe 2012.
Cassandra EU 2012 - Overview of Case Studies and State of the Market by 451 R...
Cassandra EU 2012 - Overview of Case Studies and State of the Market by 451 R...
Acunu
Malcolm Box's talk at Cassandra Europe 2012
Cassandra EU 2012 - Putting the X Factor into Cassandra
Cassandra EU 2012 - Putting the X Factor into Cassandra
Acunu
A talk from Denis Sheahan on Netflix's Cassandra Architecture and Open Source efforts. Presented on 28 March 2012 in Cassandra Europe.
Cassandra EU 2012 - Netflix's Cassandra Architecture and Open Source Efforts
Cassandra EU 2012 - Netflix's Cassandra Architecture and Open Source Efforts
Acunu
Talk by Tom Wilkie at Cassandra EU
Next Generation Cassandra
Next Generation Cassandra
Acunu
Eric Evans' talk about the latest on CQL given at Cassandra Europe on March 28 2012.
Cassandra EU 2012 - CQL: Then, Now and When by Eric Evans
Cassandra EU 2012 - CQL: Then, Now and When by Eric Evans
Acunu
Plus de Acunu
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Acunu and Hailo: a realtime analytics case study on Cassandra
Acunu and Hailo: a realtime analytics case study on Cassandra
Virtual nodes: Operational Aspirin
Virtual nodes: Operational Aspirin
Acunu Analytics and Cassandra at Hailo All Your Base 2013
Acunu Analytics and Cassandra at Hailo All Your Base 2013
Understanding Cassandra internals to solve real-world problems
Understanding Cassandra internals to solve real-world problems
Acunu Analytics: Simpler Real-Time Cassandra Apps
Acunu Analytics: Simpler Real-Time Cassandra Apps
All Your Base
All Your Base
Realtime Analytics with Apache Cassandra
Realtime Analytics with Apache Cassandra
Realtime Analytics with Apache Cassandra - JAX London
Realtime Analytics with Apache Cassandra - JAX London
Real-time Cassandra
Real-time Cassandra
Realtime Analytics on the Twitter Firehose with Apache Cassandra - Denormaliz...
Realtime Analytics on the Twitter Firehose with Apache Cassandra - Denormaliz...
Realtime Analytics with Cassandra
Realtime Analytics with Cassandra
Acunu Analytics @ Cassandra London
Acunu Analytics @ Cassandra London
Exploring Big Data value for your business
Exploring Big Data value for your business
Realtime Analytics on the Twitter Firehose with Cassandra
Realtime Analytics on the Twitter Firehose with Cassandra
Progressive NOSQL: Cassandra
Progressive NOSQL: Cassandra
Cassandra EU 2012 - Overview of Case Studies and State of the Market by 451 R...
Cassandra EU 2012 - Overview of Case Studies and State of the Market by 451 R...
Cassandra EU 2012 - Putting the X Factor into Cassandra
Cassandra EU 2012 - Putting the X Factor into Cassandra
Cassandra EU 2012 - Netflix's Cassandra Architecture and Open Source Efforts
Cassandra EU 2012 - Netflix's Cassandra Architecture and Open Source Efforts
Next Generation Cassandra
Next Generation Cassandra
Cassandra EU 2012 - CQL: Then, Now and When by Eric Evans
Cassandra EU 2012 - CQL: Then, Now and When by Eric Evans
Dernier
Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
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FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
The Digital Insurer
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Dropbox
Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Zilliz
Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Rustici Software
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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Jeffrey Haguewood
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sudhanshuwaghmare1
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In this presentation, we delve into leveraging Amazon Q to elevate developer efficiency and craft GenAI applications. Discover the key features and benefits of Amazon Q for streamlined application development. Learn how Amazon Q can revolutionize your development processes and empower you to create cutting-edge GenAI applications.
Elevate Developer Efficiency & build GenAI Application with Amazon Q
Elevate Developer Efficiency & build GenAI Application with Amazon Q
Bhuvaneswari Subramani
Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
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Victor Rentea
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving. A report by Poten & Partners as part of the Hydrogen Asia 2024 Summit in Singapore. Copyright Poten & Partners 2024.
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Edi Saputra
Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
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Angeliki Cooney
Explore how multimodal embeddings work with Milvus. We will see how you can explore a popular multimodal model - CLIP - on a popular dataset - CIFAR 10. You use CLIP to create the embeddings of the input data, Milvus to store the embeddings of the multimodal data (sometimes termed “multimodal embeddings”), and we will then explore the embeddings.
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
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ICT role in 21 century education. How to ICT help in education
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Acunu overview
1.
Solving the Last
Mile in Massive Data
2.
3.
STORAGE !!
4.
Before the Flood
1990 Small databases B-tree file systems RAID Old hardware
5.
Two Revolutions
2011 Massive Data Distributed databases B-tree file systems RAID New hardware
6.
Bridging the Gap
2011 Massive Data Distributed databases New hardware
7.
Acunu combines existing
toolsets with a new storage stack invented for big data
8.
9.
So what?
10.
Consistent, reliable, predictable performance Production
ready, out of the box Fast snapshots and clones
11.
The only stack
to exploit SSDs and HDDs
12.
Acunu enables
real-time Cassandra Ingest Analyze Serve High-entropy Range queries: Random reads: updates: 1/100th latency of 100x throughput of Exploit SSDs Apache Apache Cassandra Cassandra
13.
Apache Cassandra Inserts per
second 6 hrs 24 hrs
14.
Apache Cassandra Inserts per
second Acunu distribution for Cassandra 6 hrs 24 hrs
15.
Small random range
queries Performed immediately after inserts
16.
bitbucket.org/acunu
www.acunu.com/download Apache, Apache Cassandra, Cassandra, Hadoop, and the eye and elephant logos are trademarks of the Apache Software Foundation.
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