SlideShare a Scribd company logo
1
QuantCell Big Data Spreadsheet
End-user programming environment for data scientist
Kris Thorleifsson & Agust Egilsson
Co-founders
QuantCell Research
Intro slide for Rich
2
Agust Egilsson, Ph.D.
Kris Thorleifsson
Co-founders, QuantCell Research
September 2013
2
3
QuantCell Introduction
• End-user programming environment for big data
analysis
• Empowers data scientists, domain experts, and
non-developers to build sophisticated analysis,
models and applications more efficiently
• Public Beta available at www.quantcell.com
4
Key Benefits
• Shorter turnaround times for performing analysis
and creating models and solutions
• Reduces the cost of Big Data projects
• Enables more institutions and users to benefit
from Big Data
5
QuantCell Users
Data Scientist and Domain Experts
• Analysts, researchers, quants, and other domain experts
• Know the data and what analysis to perform, usually non-programmers
Data-Savvy Business Managers
• Consumers of the analytical models
• Decision makers
Software Developers
• Supporting data scientists and domain experts
• Currently tasked with building advanced analytical models
6
Spreadsheet
Environment
Data
Sources
Compute
Power
Algorithms
Formula & Code
Completion
Deployment
7
A Proven Environment for Analytics
Taking the spreadsheet to the next level
• Brings the power of real programming languages to the spreadsheet user
• Access to Big Data frameworks and thousands of libraries for analytics
• No interpreted code or object model, just functional like programming
• Cloud and HPC ready
• Models can be deployed independent of QuantCell
• Intuitive spreadsheet
user interface
• Proven environment for
rapidly building models
• Familiar to most users
8
Formula Completion
• Lowers the barriers for non-programmers to benefit from
programming languages such as Java, SQL, Scala and Jython
• Reduces and sometimes eliminates the need to write code
• Formula completion and formula recommendation engines
• Intuitive one-click access to a algorithms
• Simplifies access to data sources and compute cycles
• Automates deployment of solutions into production
Empowering Data Scientists and Domain Experts
9
A Terabyte of Algorithms
• Intuitive, on-demand access to thousands of libraries, tools,
and Big Data frameworks from online repositories
• Become part of the “formula library” in the spreadsheet
• Explosive growth in open source and publicly available
libraries for data analysis in various domains
• Supported by a growing and active community of contributors
• Users can add their own private libraries to QuantCell
10
Simplifies Access to Data
• Capable of analyzing very large datasets
• Connects to most databases and data sources
• Delivers one-click access to over 50 data providers with
over 100 million time series
• Real-time queries of Hadoop servers
Rich Data Visualization
10
11
Access to Compute Power
• Runs locally on the user’s machine for rich visualization
of data and more
• Hadoop servers, public and private clouds, and HPC
grids can be utilized for more compute intensive projects
12
Deployment of QuantCell Models
• Aim to facilitate and automate the path from model
development to deployment of models into production
• Supports deployment paths to various environments
directly from the spreadsheet interface
• QuantCell models are independent of the QuantCell
spreadsheet environment
• Models are pure Java APIs and deployment ready
13
QuantCell Research Private and Confidential – Do Not Distribute
Product Demonstration:
Finding and importing
algorithms into QuantCell
13
14
QuantCell Research Private and Confidential – Do Not Distribute
Product Demonstration:
Accessing Data
in QuantCell
14
15
QuantCell Research Private and Confidential – Do Not Distribute
Product Demonstration:
Big Data analysis in
the QuantCell spreadsheet
15
16
QuantCell Research Private and Confidential – Do Not Distribute
info@quantcell.com
Thank You!
Free download of Public Beta at:
www.quantcell.com
16

More Related Content

What's hot

Sept2016 sv dnanexus_benchmarking
Sept2016 sv dnanexus_benchmarkingSept2016 sv dnanexus_benchmarking
Sept2016 sv dnanexus_benchmarking
GenomeInABottle
 
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
Spark Summit
 
Big datatraining ranga_1
Big datatraining ranga_1Big datatraining ranga_1
Big datatraining ranga_1
Ranga Vadlamudi
 
Data vault
Data vaultData vault
Data vault
Jisc
 
Spring + QueryDSL + MongoDB Presentation
Spring + QueryDSL + MongoDB PresentationSpring + QueryDSL + MongoDB Presentation
Spring + QueryDSL + MongoDB Presentation
Ranga Vadlamudi
 
DataStax: Making a Difference with Smart Analytics
DataStax: Making a Difference with Smart AnalyticsDataStax: Making a Difference with Smart Analytics
DataStax: Making a Difference with Smart Analytics
DataStax Academy
 
DataStax: Steps to successfully implementing NoSQL in the enterprise
DataStax: Steps to successfully implementing NoSQL in the enterpriseDataStax: Steps to successfully implementing NoSQL in the enterprise
DataStax: Steps to successfully implementing NoSQL in the enterprise
DataStax Academy
 
Infrastructure monitoring made easy, from ingest to insight
Infrastructure monitoring made easy, from ingest to insightInfrastructure monitoring made easy, from ingest to insight
Infrastructure monitoring made easy, from ingest to insight
Elasticsearch
 
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
bdemchak
 
Big Data Vendor Panel - Data Stax
Big Data Vendor Panel - Data StaxBig Data Vendor Panel - Data Stax
Big Data Vendor Panel - Data Stax
Mikan Associates
 
Big Data Day LA 2016/ NoSQL track - Architecting Real Life IoT Architecture, ...
Big Data Day LA 2016/ NoSQL track - Architecting Real Life IoT Architecture, ...Big Data Day LA 2016/ NoSQL track - Architecting Real Life IoT Architecture, ...
Big Data Day LA 2016/ NoSQL track - Architecting Real Life IoT Architecture, ...
Data Con LA
 
Managing the Dewey Decimal System
Managing the Dewey Decimal SystemManaging the Dewey Decimal System
Managing the Dewey Decimal System
DataWorks Summit
 
The NOAA Big Data Project Overview
The NOAA Big Data Project OverviewThe NOAA Big Data Project Overview
The NOAA Big Data Project Overview
Amy Gaskins
 
"Quantum Clustering - Physics Inspired Clustering Algorithm", Sigalit Bechler...
"Quantum Clustering - Physics Inspired Clustering Algorithm", Sigalit Bechler..."Quantum Clustering - Physics Inspired Clustering Algorithm", Sigalit Bechler...
"Quantum Clustering - Physics Inspired Clustering Algorithm", Sigalit Bechler...
Dataconomy Media
 
O monitoramento da infraestrutura facilitado, da ingestão ao insight
O monitoramento da infraestrutura facilitado, da ingestão ao insightO monitoramento da infraestrutura facilitado, da ingestão ao insight
O monitoramento da infraestrutura facilitado, da ingestão ao insight
Elasticsearch
 
Research Data Spring
Research Data Spring Research Data Spring
Research Data Spring
Jisc RDM
 
Palestra de abertura: Evolução e visão do Elastic Observability
Palestra de abertura: Evolução e visão do Elastic ObservabilityPalestra de abertura: Evolução e visão do Elastic Observability
Palestra de abertura: Evolução e visão do Elastic Observability
Elasticsearch
 
American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...
American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...
American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...
Elasticsearch
 

What's hot (18)

Sept2016 sv dnanexus_benchmarking
Sept2016 sv dnanexus_benchmarkingSept2016 sv dnanexus_benchmarking
Sept2016 sv dnanexus_benchmarking
 
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)
 
Big datatraining ranga_1
Big datatraining ranga_1Big datatraining ranga_1
Big datatraining ranga_1
 
Data vault
Data vaultData vault
Data vault
 
Spring + QueryDSL + MongoDB Presentation
Spring + QueryDSL + MongoDB PresentationSpring + QueryDSL + MongoDB Presentation
Spring + QueryDSL + MongoDB Presentation
 
DataStax: Making a Difference with Smart Analytics
DataStax: Making a Difference with Smart AnalyticsDataStax: Making a Difference with Smart Analytics
DataStax: Making a Difference with Smart Analytics
 
DataStax: Steps to successfully implementing NoSQL in the enterprise
DataStax: Steps to successfully implementing NoSQL in the enterpriseDataStax: Steps to successfully implementing NoSQL in the enterprise
DataStax: Steps to successfully implementing NoSQL in the enterprise
 
Infrastructure monitoring made easy, from ingest to insight
Infrastructure monitoring made easy, from ingest to insightInfrastructure monitoring made easy, from ingest to insight
Infrastructure monitoring made easy, from ingest to insight
 
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
 
Big Data Vendor Panel - Data Stax
Big Data Vendor Panel - Data StaxBig Data Vendor Panel - Data Stax
Big Data Vendor Panel - Data Stax
 
Big Data Day LA 2016/ NoSQL track - Architecting Real Life IoT Architecture, ...
Big Data Day LA 2016/ NoSQL track - Architecting Real Life IoT Architecture, ...Big Data Day LA 2016/ NoSQL track - Architecting Real Life IoT Architecture, ...
Big Data Day LA 2016/ NoSQL track - Architecting Real Life IoT Architecture, ...
 
Managing the Dewey Decimal System
Managing the Dewey Decimal SystemManaging the Dewey Decimal System
Managing the Dewey Decimal System
 
The NOAA Big Data Project Overview
The NOAA Big Data Project OverviewThe NOAA Big Data Project Overview
The NOAA Big Data Project Overview
 
"Quantum Clustering - Physics Inspired Clustering Algorithm", Sigalit Bechler...
"Quantum Clustering - Physics Inspired Clustering Algorithm", Sigalit Bechler..."Quantum Clustering - Physics Inspired Clustering Algorithm", Sigalit Bechler...
"Quantum Clustering - Physics Inspired Clustering Algorithm", Sigalit Bechler...
 
O monitoramento da infraestrutura facilitado, da ingestão ao insight
O monitoramento da infraestrutura facilitado, da ingestão ao insightO monitoramento da infraestrutura facilitado, da ingestão ao insight
O monitoramento da infraestrutura facilitado, da ingestão ao insight
 
Research Data Spring
Research Data Spring Research Data Spring
Research Data Spring
 
Palestra de abertura: Evolução e visão do Elastic Observability
Palestra de abertura: Evolução e visão do Elastic ObservabilityPalestra de abertura: Evolução e visão do Elastic Observability
Palestra de abertura: Evolução e visão do Elastic Observability
 
American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...
American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...
American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...
 

Similar to QuantCell Research - The Big Data Spreadsheet

R+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster Answers
R+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster AnswersR+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster Answers
R+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster Answers
Revolution Analytics
 
Data Lake Acceleration vs. Data Virtualization - What’s the difference?
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Data Lake Acceleration vs. Data Virtualization - What’s the difference?
Data Lake Acceleration vs. Data Virtualization - What’s the difference?
Denodo
 
Reimagining Devon Energy’s Data Estate with a Unified Approach to Integration...
Reimagining Devon Energy’s Data Estate with a Unified Approach to Integration...Reimagining Devon Energy’s Data Estate with a Unified Approach to Integration...
Reimagining Devon Energy’s Data Estate with a Unified Approach to Integration...
Databricks
 
An Introduction to Red Hat Enterprise Linux OpenStack Platform
An Introduction to Red Hat Enterprise Linux OpenStack PlatformAn Introduction to Red Hat Enterprise Linux OpenStack Platform
An Introduction to Red Hat Enterprise Linux OpenStack Platform
Yandex
 
Dell High-Performance Computing solutions: Enable innovations, outperform exp...
Dell High-Performance Computing solutions: Enable innovations, outperform exp...Dell High-Performance Computing solutions: Enable innovations, outperform exp...
Dell High-Performance Computing solutions: Enable innovations, outperform exp...
Dell World
 
Architect’s Open-Source Guide for a Data Mesh Architecture
Architect’s Open-Source Guide for a Data Mesh ArchitectureArchitect’s Open-Source Guide for a Data Mesh Architecture
Architect’s Open-Source Guide for a Data Mesh Architecture
Databricks
 
Consolidate your data marts for fast, flexible analytics 5.24.18
Consolidate your data marts for fast, flexible analytics 5.24.18Consolidate your data marts for fast, flexible analytics 5.24.18
Consolidate your data marts for fast, flexible analytics 5.24.18
Cloudera, Inc.
 
Driving Faster Analytics at Symphony Health
Driving Faster Analytics at Symphony HealthDriving Faster Analytics at Symphony Health
Driving Faster Analytics at Symphony Health
Precisely
 
Meetup 25/04/19: Big Data
Meetup 25/04/19: Big DataMeetup 25/04/19: Big Data
Meetup 25/04/19: Big Data
Digipolis Antwerpen
 
Moving data to the cloud BY CESAR ROJAS from Pivotal
Moving data to the cloud BY CESAR ROJAS from PivotalMoving data to the cloud BY CESAR ROJAS from Pivotal
Moving data to the cloud BY CESAR ROJAS from Pivotal
VMware Tanzu Korea
 
High Performance Data Analytics and a Java Grande Run Time
High Performance Data Analytics and a Java Grande Run TimeHigh Performance Data Analytics and a Java Grande Run Time
High Performance Data Analytics and a Java Grande Run Time
Geoffrey Fox
 
Data Warehouse Optimization
Data Warehouse OptimizationData Warehouse Optimization
Data Warehouse Optimization
Cloudera, Inc.
 
Developing and Implementing a QA Plan During Your Legacy Data to S1000D
Developing and Implementing a QA Plan During Your Legacy Data to S1000DDeveloping and Implementing a QA Plan During Your Legacy Data to S1000D
Developing and Implementing a QA Plan During Your Legacy Data to S1000D
dclsocialmedia
 
Advanced Analytics and Machine Learning with Data Virtualization (India)
Advanced Analytics and Machine Learning with Data Virtualization (India)Advanced Analytics and Machine Learning with Data Virtualization (India)
Advanced Analytics and Machine Learning with Data Virtualization (India)
Denodo
 
OpenSource and the Cloud ApacheCon.pptx
OpenSource and the Cloud  ApacheCon.pptxOpenSource and the Cloud  ApacheCon.pptx
OpenSource and the Cloud ApacheCon.pptx
lohitvijayarenu
 
Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8
Cloudera, Inc.
 
Efficient & effective data management for research projects : ILRI's Data Ma...
Efficient & effective  data management for research projects : ILRI's Data Ma...Efficient & effective  data management for research projects : ILRI's Data Ma...
Efficient & effective data management for research projects : ILRI's Data Ma...
CIARD Movement
 
50 Shades of SQL
50 Shades of SQL50 Shades of SQL
50 Shades of SQL
DataWorks Summit
 
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your MindDeliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Avere Systems
 
Data Science at Scale Using Apache Spark and Apache Hadoop
Data Science at Scale Using Apache Spark and Apache HadoopData Science at Scale Using Apache Spark and Apache Hadoop
Data Science at Scale Using Apache Spark and Apache Hadoop
Cloudera, Inc.
 

Similar to QuantCell Research - The Big Data Spreadsheet (20)

R+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster Answers
R+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster AnswersR+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster Answers
R+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster Answers
 
Data Lake Acceleration vs. Data Virtualization - What’s the difference?
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Data Lake Acceleration vs. Data Virtualization - What’s the difference?
Data Lake Acceleration vs. Data Virtualization - What’s the difference?
 
Reimagining Devon Energy’s Data Estate with a Unified Approach to Integration...
Reimagining Devon Energy’s Data Estate with a Unified Approach to Integration...Reimagining Devon Energy’s Data Estate with a Unified Approach to Integration...
Reimagining Devon Energy’s Data Estate with a Unified Approach to Integration...
 
An Introduction to Red Hat Enterprise Linux OpenStack Platform
An Introduction to Red Hat Enterprise Linux OpenStack PlatformAn Introduction to Red Hat Enterprise Linux OpenStack Platform
An Introduction to Red Hat Enterprise Linux OpenStack Platform
 
Dell High-Performance Computing solutions: Enable innovations, outperform exp...
Dell High-Performance Computing solutions: Enable innovations, outperform exp...Dell High-Performance Computing solutions: Enable innovations, outperform exp...
Dell High-Performance Computing solutions: Enable innovations, outperform exp...
 
Architect’s Open-Source Guide for a Data Mesh Architecture
Architect’s Open-Source Guide for a Data Mesh ArchitectureArchitect’s Open-Source Guide for a Data Mesh Architecture
Architect’s Open-Source Guide for a Data Mesh Architecture
 
Consolidate your data marts for fast, flexible analytics 5.24.18
Consolidate your data marts for fast, flexible analytics 5.24.18Consolidate your data marts for fast, flexible analytics 5.24.18
Consolidate your data marts for fast, flexible analytics 5.24.18
 
Driving Faster Analytics at Symphony Health
Driving Faster Analytics at Symphony HealthDriving Faster Analytics at Symphony Health
Driving Faster Analytics at Symphony Health
 
Meetup 25/04/19: Big Data
Meetup 25/04/19: Big DataMeetup 25/04/19: Big Data
Meetup 25/04/19: Big Data
 
Moving data to the cloud BY CESAR ROJAS from Pivotal
Moving data to the cloud BY CESAR ROJAS from PivotalMoving data to the cloud BY CESAR ROJAS from Pivotal
Moving data to the cloud BY CESAR ROJAS from Pivotal
 
High Performance Data Analytics and a Java Grande Run Time
High Performance Data Analytics and a Java Grande Run TimeHigh Performance Data Analytics and a Java Grande Run Time
High Performance Data Analytics and a Java Grande Run Time
 
Data Warehouse Optimization
Data Warehouse OptimizationData Warehouse Optimization
Data Warehouse Optimization
 
Developing and Implementing a QA Plan During Your Legacy Data to S1000D
Developing and Implementing a QA Plan During Your Legacy Data to S1000DDeveloping and Implementing a QA Plan During Your Legacy Data to S1000D
Developing and Implementing a QA Plan During Your Legacy Data to S1000D
 
Advanced Analytics and Machine Learning with Data Virtualization (India)
Advanced Analytics and Machine Learning with Data Virtualization (India)Advanced Analytics and Machine Learning with Data Virtualization (India)
Advanced Analytics and Machine Learning with Data Virtualization (India)
 
OpenSource and the Cloud ApacheCon.pptx
OpenSource and the Cloud  ApacheCon.pptxOpenSource and the Cloud  ApacheCon.pptx
OpenSource and the Cloud ApacheCon.pptx
 
Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8
 
Efficient & effective data management for research projects : ILRI's Data Ma...
Efficient & effective  data management for research projects : ILRI's Data Ma...Efficient & effective  data management for research projects : ILRI's Data Ma...
Efficient & effective data management for research projects : ILRI's Data Ma...
 
50 Shades of SQL
50 Shades of SQL50 Shades of SQL
50 Shades of SQL
 
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your MindDeliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
 
Data Science at Scale Using Apache Spark and Apache Hadoop
Data Science at Scale Using Apache Spark and Apache HadoopData Science at Scale Using Apache Spark and Apache Hadoop
Data Science at Scale Using Apache Spark and Apache Hadoop
 

More from inside-BigData.com

Major Market Shifts in IT
Major Market Shifts in ITMajor Market Shifts in IT
Major Market Shifts in IT
inside-BigData.com
 
Preparing to program Aurora at Exascale - Early experiences and future direct...
Preparing to program Aurora at Exascale - Early experiences and future direct...Preparing to program Aurora at Exascale - Early experiences and future direct...
Preparing to program Aurora at Exascale - Early experiences and future direct...
inside-BigData.com
 
Transforming Private 5G Networks
Transforming Private 5G NetworksTransforming Private 5G Networks
Transforming Private 5G Networks
inside-BigData.com
 
The Incorporation of Machine Learning into Scientific Simulations at Lawrence...
The Incorporation of Machine Learning into Scientific Simulations at Lawrence...The Incorporation of Machine Learning into Scientific Simulations at Lawrence...
The Incorporation of Machine Learning into Scientific Simulations at Lawrence...
inside-BigData.com
 
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...
inside-BigData.com
 
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...
inside-BigData.com
 
HPC Impact: EDA Telemetry Neural Networks
HPC Impact: EDA Telemetry Neural NetworksHPC Impact: EDA Telemetry Neural Networks
HPC Impact: EDA Telemetry Neural Networks
inside-BigData.com
 
Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring
Biohybrid Robotic Jellyfish for Future Applications in Ocean MonitoringBiohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring
Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring
inside-BigData.com
 
Machine Learning for Weather Forecasts
Machine Learning for Weather ForecastsMachine Learning for Weather Forecasts
Machine Learning for Weather Forecasts
inside-BigData.com
 
HPC AI Advisory Council Update
HPC AI Advisory Council UpdateHPC AI Advisory Council Update
HPC AI Advisory Council Update
inside-BigData.com
 
Fugaku Supercomputer joins fight against COVID-19
Fugaku Supercomputer joins fight against COVID-19Fugaku Supercomputer joins fight against COVID-19
Fugaku Supercomputer joins fight against COVID-19
inside-BigData.com
 
Energy Efficient Computing using Dynamic Tuning
Energy Efficient Computing using Dynamic TuningEnergy Efficient Computing using Dynamic Tuning
Energy Efficient Computing using Dynamic Tuning
inside-BigData.com
 
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPODHPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
inside-BigData.com
 
State of ARM-based HPC
State of ARM-based HPCState of ARM-based HPC
State of ARM-based HPC
inside-BigData.com
 
Versal Premium ACAP for Network and Cloud Acceleration
Versal Premium ACAP for Network and Cloud AccelerationVersal Premium ACAP for Network and Cloud Acceleration
Versal Premium ACAP for Network and Cloud Acceleration
inside-BigData.com
 
Zettar: Moving Massive Amounts of Data across Any Distance Efficiently
Zettar: Moving Massive Amounts of Data across Any Distance EfficientlyZettar: Moving Massive Amounts of Data across Any Distance Efficiently
Zettar: Moving Massive Amounts of Data across Any Distance Efficiently
inside-BigData.com
 
Scaling TCO in a Post Moore's Era
Scaling TCO in a Post Moore's EraScaling TCO in a Post Moore's Era
Scaling TCO in a Post Moore's Era
inside-BigData.com
 
CUDA-Python and RAPIDS for blazing fast scientific computing
CUDA-Python and RAPIDS for blazing fast scientific computingCUDA-Python and RAPIDS for blazing fast scientific computing
CUDA-Python and RAPIDS for blazing fast scientific computing
inside-BigData.com
 
Introducing HPC with a Raspberry Pi Cluster
Introducing HPC with a Raspberry Pi ClusterIntroducing HPC with a Raspberry Pi Cluster
Introducing HPC with a Raspberry Pi Cluster
inside-BigData.com
 
Overview of HPC Interconnects
Overview of HPC InterconnectsOverview of HPC Interconnects
Overview of HPC Interconnects
inside-BigData.com
 

More from inside-BigData.com (20)

Major Market Shifts in IT
Major Market Shifts in ITMajor Market Shifts in IT
Major Market Shifts in IT
 
Preparing to program Aurora at Exascale - Early experiences and future direct...
Preparing to program Aurora at Exascale - Early experiences and future direct...Preparing to program Aurora at Exascale - Early experiences and future direct...
Preparing to program Aurora at Exascale - Early experiences and future direct...
 
Transforming Private 5G Networks
Transforming Private 5G NetworksTransforming Private 5G Networks
Transforming Private 5G Networks
 
The Incorporation of Machine Learning into Scientific Simulations at Lawrence...
The Incorporation of Machine Learning into Scientific Simulations at Lawrence...The Incorporation of Machine Learning into Scientific Simulations at Lawrence...
The Incorporation of Machine Learning into Scientific Simulations at Lawrence...
 
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...
 
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...
 
HPC Impact: EDA Telemetry Neural Networks
HPC Impact: EDA Telemetry Neural NetworksHPC Impact: EDA Telemetry Neural Networks
HPC Impact: EDA Telemetry Neural Networks
 
Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring
Biohybrid Robotic Jellyfish for Future Applications in Ocean MonitoringBiohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring
Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring
 
Machine Learning for Weather Forecasts
Machine Learning for Weather ForecastsMachine Learning for Weather Forecasts
Machine Learning for Weather Forecasts
 
HPC AI Advisory Council Update
HPC AI Advisory Council UpdateHPC AI Advisory Council Update
HPC AI Advisory Council Update
 
Fugaku Supercomputer joins fight against COVID-19
Fugaku Supercomputer joins fight against COVID-19Fugaku Supercomputer joins fight against COVID-19
Fugaku Supercomputer joins fight against COVID-19
 
Energy Efficient Computing using Dynamic Tuning
Energy Efficient Computing using Dynamic TuningEnergy Efficient Computing using Dynamic Tuning
Energy Efficient Computing using Dynamic Tuning
 
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPODHPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
 
State of ARM-based HPC
State of ARM-based HPCState of ARM-based HPC
State of ARM-based HPC
 
Versal Premium ACAP for Network and Cloud Acceleration
Versal Premium ACAP for Network and Cloud AccelerationVersal Premium ACAP for Network and Cloud Acceleration
Versal Premium ACAP for Network and Cloud Acceleration
 
Zettar: Moving Massive Amounts of Data across Any Distance Efficiently
Zettar: Moving Massive Amounts of Data across Any Distance EfficientlyZettar: Moving Massive Amounts of Data across Any Distance Efficiently
Zettar: Moving Massive Amounts of Data across Any Distance Efficiently
 
Scaling TCO in a Post Moore's Era
Scaling TCO in a Post Moore's EraScaling TCO in a Post Moore's Era
Scaling TCO in a Post Moore's Era
 
CUDA-Python and RAPIDS for blazing fast scientific computing
CUDA-Python and RAPIDS for blazing fast scientific computingCUDA-Python and RAPIDS for blazing fast scientific computing
CUDA-Python and RAPIDS for blazing fast scientific computing
 
Introducing HPC with a Raspberry Pi Cluster
Introducing HPC with a Raspberry Pi ClusterIntroducing HPC with a Raspberry Pi Cluster
Introducing HPC with a Raspberry Pi Cluster
 
Overview of HPC Interconnects
Overview of HPC InterconnectsOverview of HPC Interconnects
Overview of HPC Interconnects
 

Recently uploaded

Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Rohit Gautam
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Vladimir Iglovikov, Ph.D.
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
Alex Pruden
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
James Anderson
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 

Recently uploaded (20)

Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 

QuantCell Research - The Big Data Spreadsheet

  • 1. 1 QuantCell Big Data Spreadsheet End-user programming environment for data scientist Kris Thorleifsson & Agust Egilsson Co-founders QuantCell Research Intro slide for Rich
  • 2. 2 Agust Egilsson, Ph.D. Kris Thorleifsson Co-founders, QuantCell Research September 2013 2
  • 3. 3 QuantCell Introduction • End-user programming environment for big data analysis • Empowers data scientists, domain experts, and non-developers to build sophisticated analysis, models and applications more efficiently • Public Beta available at www.quantcell.com
  • 4. 4 Key Benefits • Shorter turnaround times for performing analysis and creating models and solutions • Reduces the cost of Big Data projects • Enables more institutions and users to benefit from Big Data
  • 5. 5 QuantCell Users Data Scientist and Domain Experts • Analysts, researchers, quants, and other domain experts • Know the data and what analysis to perform, usually non-programmers Data-Savvy Business Managers • Consumers of the analytical models • Decision makers Software Developers • Supporting data scientists and domain experts • Currently tasked with building advanced analytical models
  • 7. 7 A Proven Environment for Analytics Taking the spreadsheet to the next level • Brings the power of real programming languages to the spreadsheet user • Access to Big Data frameworks and thousands of libraries for analytics • No interpreted code or object model, just functional like programming • Cloud and HPC ready • Models can be deployed independent of QuantCell • Intuitive spreadsheet user interface • Proven environment for rapidly building models • Familiar to most users
  • 8. 8 Formula Completion • Lowers the barriers for non-programmers to benefit from programming languages such as Java, SQL, Scala and Jython • Reduces and sometimes eliminates the need to write code • Formula completion and formula recommendation engines • Intuitive one-click access to a algorithms • Simplifies access to data sources and compute cycles • Automates deployment of solutions into production Empowering Data Scientists and Domain Experts
  • 9. 9 A Terabyte of Algorithms • Intuitive, on-demand access to thousands of libraries, tools, and Big Data frameworks from online repositories • Become part of the “formula library” in the spreadsheet • Explosive growth in open source and publicly available libraries for data analysis in various domains • Supported by a growing and active community of contributors • Users can add their own private libraries to QuantCell
  • 10. 10 Simplifies Access to Data • Capable of analyzing very large datasets • Connects to most databases and data sources • Delivers one-click access to over 50 data providers with over 100 million time series • Real-time queries of Hadoop servers Rich Data Visualization 10
  • 11. 11 Access to Compute Power • Runs locally on the user’s machine for rich visualization of data and more • Hadoop servers, public and private clouds, and HPC grids can be utilized for more compute intensive projects
  • 12. 12 Deployment of QuantCell Models • Aim to facilitate and automate the path from model development to deployment of models into production • Supports deployment paths to various environments directly from the spreadsheet interface • QuantCell models are independent of the QuantCell spreadsheet environment • Models are pure Java APIs and deployment ready
  • 13. 13 QuantCell Research Private and Confidential – Do Not Distribute Product Demonstration: Finding and importing algorithms into QuantCell 13
  • 14. 14 QuantCell Research Private and Confidential – Do Not Distribute Product Demonstration: Accessing Data in QuantCell 14
  • 15. 15 QuantCell Research Private and Confidential – Do Not Distribute Product Demonstration: Big Data analysis in the QuantCell spreadsheet 15
  • 16. 16 QuantCell Research Private and Confidential – Do Not Distribute info@quantcell.com Thank You! Free download of Public Beta at: www.quantcell.com 16

Editor's Notes

  1. QuantCell is an end-user programming environment that empowers analysts, researchers and domain experts to undertake more advanced analysis with less reliance on IT specialists. QuantCell brings Big Data analytics, modeling and solutions to the end-user by combining the power of Java with the intuitive spreadsheet environment. It enables the non-developer to immediately unlock thousands of man-years of research and coding by the world’s researchers and institutions, currently locked away in cryptic APIs. QuantCell combines these vast resources of algorithms, methods and processes with an environment that allows users to rapidly prototype, build and deploy analytics to Hadoop cloud infrastructures and Java production systems, directly from the familiar spreadsheet. QuantCell thereby makes quants, analysts and data scientists more productive and shortens time to solution. It reduces costs and complexity associated with advanced analytics and allows organizations with limited IT resources to benefit from Big Data.
  2. QuantCell is an end-user programming environment that empowers analysts, researchers and domain experts to undertake more advanced analysis with less reliance on IT specialists. QuantCell brings Big Data analytics, modeling and solutions to the end-user by combining the power of Java with the intuitive spreadsheet environment. It enables the non-developer to immediately unlock thousands of man-years of research and coding by the world’s researchers and institutions, currently locked away in cryptic APIs. QuantCell combines these vast resources of algorithms, methods and processes with an environment that allows users to rapidly prototype, build and deploy analytics to Hadoop cloud infrastructures and Java production systems, directly from the familiar spreadsheet. QuantCell thereby makes quants, analysts and data scientists more productive and shortens time to solution. It reduces costs and complexity associated with advanced analytics and allows organizations with limited IT resources to benefit from Big Data.
  3. QuantCell is an end-user programming environment that empowers analysts, researchers and domain experts to undertake more advanced analysis with less reliance on IT specialists. QuantCell brings Big Data analytics, modeling and solutions to the end-user by combining the power of Java with the intuitive spreadsheet environment. It enables the non-developer to immediately unlock thousands of man-years of research and coding by the world’s researchers and institutions, currently locked away in cryptic APIs. QuantCell combines these vast resources of algorithms, methods and processes with an environment that allows users to rapidly prototype, build and deploy analytics to Hadoop cloud infrastructures and Java production systems, directly from the familiar spreadsheet. QuantCell thereby makes quants, analysts and data scientists more productive and shortens time to solution. It reduces costs and complexity associated with advanced analytics and allows organizations with limited IT resources to benefit from Big Data.
  4. QuantCell is an end-user programming environment that empowers analysts, researchers and domain experts to undertake more advanced analysis with less reliance on IT specialists. QuantCell brings Big Data analytics, modeling and solutions to the end-user by combining the power of Java with the intuitive spreadsheet environment. It enables the non-developer to immediately unlock thousands of man-years of research and coding by the world’s researchers and institutions, currently locked away in cryptic APIs. QuantCell combines these vast resources of algorithms, methods and processes with an environment that allows users to rapidly prototype, build and deploy analytics to Hadoop cloud infrastructures and Java production systems, directly from the familiar spreadsheet. QuantCell thereby makes quants, analysts and data scientists more productive and shortens time to solution. It reduces costs and complexity associated with advanced analytics and allows organizations with limited IT resources to benefit from Big Data.