A general overview of WPS v3.3. WPS version 3.3 is a Language of SAS software product that runs on Windows, Linux, Mac OS X, z/Linux, z/OS and ARM architectures. Read about the Procedures and Database Engines that are included in the product.
Create a Data Science Lab with Microsoft and Open Source toolsMarcel Franke
This document provides an overview of creating a data science lab using Microsoft and open source tools. It discusses what data science is, provides a brief history of its use in gambling and weather forecasting, and examines current applications in areas like social media, customer analysis, and predictive maintenance. The document advocates learning from nature by taking an evolutionary approach of variation and selection to complex problems. It then describes setting up an efficient lab for experimentation using tools like Power BI, SQL Server, and open source software R, and scaling solutions using technologies like Revolution Analytics, Hadoop, and cloud services.
This document provides an overview of various architecture domains and components for building applications on AWS. It discusses business architecture, information architecture, infrastructure architecture, data architecture, integration architecture and more. It also covers key AWS concepts like scalability, elasticity, pay per use model, availability across regions, multi-tenant architecture, NoSQL databases, risk frameworks, security architectures, use cases, reference models, gap analysis and roadmaps. Finally, it lists several AWS services for compute, storage, databases, analytics, networking, developer tools, and security.
This document summarizes a keynote presentation about partnering with AWS to go global. It discusses how AWS offers partners the largest customer base across industries, the broadest range of technology partners, and investment in programs to help partners build, market and deliver their services. Specific programs highlighted include the AWS Partner Network, AWS Marketplace, Quick Starts, and a new Tech Shift Accelerator program to help partners accelerate their cloud-native solutions.
Global Power Platform 2022 How to set up help desk solution within Micros...Aroh Shukla
📌Digital Transformation with #MicrosoftTeams
📌What & Why #PowerPlatform for #lowcode code solutions
📌When to use #MicrosoftDataverse teams
📌 Microsoft Dataverse for Teams – #Techincal Specs
📌Business Case: Creating a #HelpDesk solution within #MicrosoftTeams from scratch
MongoDB Europe 2016 - Choosing Between 100 Billion Travel Options – Instant S...MongoDB
Travellers are demanding more exhaustive, accurate, and relevant results when they search for flights, and they want these results instantly – even when there can be 100 Billion travel options for a single trip. Amadeus’s “Instant Search” feature was built to meet those requirements. These searches are not trivial. Several terabytes of constantly evolving data is needed to reply instantly to questions like, “I live in Frankfurt, where can I go this weekend for €200?” “What’s the cheapest and most convenient flight for a MongoDB Europe attendee?” This technical session will show you how Amadeus integrated MongoDB into its system, and how it allowed us to handle huge numbers of updates and searches in a high-volume system, to deliver the next generation of flight search products. It will cover topics such as how we discovered which extra indexes were needed, how we were able to get the balancer to meet our needs, and how we modelled our data for optimal performance.
Blueprint Series: Architecture Patterns for Implementing Serverless Microserv...Matt Stubbs
Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs.
Delivered to SQL Saturday Columbus, GA
Microsoft provides several technologies which can be used for casual to serious data science. This presentation provides an authoritative overview of two major categories: products and services. The products include: SQL Server Analysis Services, Excel Add-in for SSAS, Semantic Search, SQL Server R Services, Microsoft R Technologies, and F#. The services include Cortana Intelligence and Bing Predicts. These technologies have been used by the presenter in various companies and industries, and he will be speaking toward how Microsoft uses these technologies today for its largest Azure customers.
The slide gives an overview about operations models (IaaS, SaaS, PaaS), compares different software modes (OOTB, Low Code, Custom Solutions) and explains the building blocks of software projects.
Create a Data Science Lab with Microsoft and Open Source toolsMarcel Franke
This document provides an overview of creating a data science lab using Microsoft and open source tools. It discusses what data science is, provides a brief history of its use in gambling and weather forecasting, and examines current applications in areas like social media, customer analysis, and predictive maintenance. The document advocates learning from nature by taking an evolutionary approach of variation and selection to complex problems. It then describes setting up an efficient lab for experimentation using tools like Power BI, SQL Server, and open source software R, and scaling solutions using technologies like Revolution Analytics, Hadoop, and cloud services.
This document provides an overview of various architecture domains and components for building applications on AWS. It discusses business architecture, information architecture, infrastructure architecture, data architecture, integration architecture and more. It also covers key AWS concepts like scalability, elasticity, pay per use model, availability across regions, multi-tenant architecture, NoSQL databases, risk frameworks, security architectures, use cases, reference models, gap analysis and roadmaps. Finally, it lists several AWS services for compute, storage, databases, analytics, networking, developer tools, and security.
This document summarizes a keynote presentation about partnering with AWS to go global. It discusses how AWS offers partners the largest customer base across industries, the broadest range of technology partners, and investment in programs to help partners build, market and deliver their services. Specific programs highlighted include the AWS Partner Network, AWS Marketplace, Quick Starts, and a new Tech Shift Accelerator program to help partners accelerate their cloud-native solutions.
Global Power Platform 2022 How to set up help desk solution within Micros...Aroh Shukla
📌Digital Transformation with #MicrosoftTeams
📌What & Why #PowerPlatform for #lowcode code solutions
📌When to use #MicrosoftDataverse teams
📌 Microsoft Dataverse for Teams – #Techincal Specs
📌Business Case: Creating a #HelpDesk solution within #MicrosoftTeams from scratch
MongoDB Europe 2016 - Choosing Between 100 Billion Travel Options – Instant S...MongoDB
Travellers are demanding more exhaustive, accurate, and relevant results when they search for flights, and they want these results instantly – even when there can be 100 Billion travel options for a single trip. Amadeus’s “Instant Search” feature was built to meet those requirements. These searches are not trivial. Several terabytes of constantly evolving data is needed to reply instantly to questions like, “I live in Frankfurt, where can I go this weekend for €200?” “What’s the cheapest and most convenient flight for a MongoDB Europe attendee?” This technical session will show you how Amadeus integrated MongoDB into its system, and how it allowed us to handle huge numbers of updates and searches in a high-volume system, to deliver the next generation of flight search products. It will cover topics such as how we discovered which extra indexes were needed, how we were able to get the balancer to meet our needs, and how we modelled our data for optimal performance.
Blueprint Series: Architecture Patterns for Implementing Serverless Microserv...Matt Stubbs
Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs.
Delivered to SQL Saturday Columbus, GA
Microsoft provides several technologies which can be used for casual to serious data science. This presentation provides an authoritative overview of two major categories: products and services. The products include: SQL Server Analysis Services, Excel Add-in for SSAS, Semantic Search, SQL Server R Services, Microsoft R Technologies, and F#. The services include Cortana Intelligence and Bing Predicts. These technologies have been used by the presenter in various companies and industries, and he will be speaking toward how Microsoft uses these technologies today for its largest Azure customers.
The slide gives an overview about operations models (IaaS, SaaS, PaaS), compares different software modes (OOTB, Low Code, Custom Solutions) and explains the building blocks of software projects.
Microsoft Technologies for Data Science 201612Mark Tabladillo
The document discusses Microsoft technologies that can be used for data science, including SQL Server, Azure ML, Cortana Intelligence Suite, and R Server. It provides definitions of key terms like data science, machine learning, and data mining. It also shares links to resources for learning about Microsoft's data science tools and platforms.
This document provides an overview of product development and the Microsoft Azure cloud platform. It discusses key aspects of the product development process like building the right product and building it right. It also covers business model canvassing, customer discovery/validation, lean startup methodology, Agile development processes, and deploying technologies in public, private, and hybrid cloud environments. The document promotes Microsoft Azure as an open, flexible cloud platform that can be used to rapidly setup environments to drive business priorities and scale applications. It describes various Azure services like computing, storage, databases, analytics, AI, and more. Finally, it outlines the BizSpark program that provides startups with free Azure credits and software to help scale their businesses on Microsoft's cloud.
Launch Your Social Game or App in the Cloud in Record TimeRightScale
RightScale Webinar: February 8, 2011 – In this Webinar, we demonstrate how RightScale can manage your game/app through the stages of concept, production, growth, maturity and niche.
WebFest 2011 Hosting Applications CR by David TangSpiffy
David Tang, a Product Marketing Manager at Microsoft Singapore, discussed how customers can expand their services from on-premise to hosted to cloud solutions using Microsoft technologies. He outlined scenarios for publishing a website and editing a live site remotely. The presentation promoted Microsoft's cloud computing landscape including Infrastructure as a Service, Platform as a Service and Software as a Service. It also covered emerging IT roles and skill sets needed for working with cloud technologies.
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
PT Daya Cipta Mandiri is an IT solutions provider in Indonesia established since 2007. They provide data center infrastructure, cloud, and monitoring solutions. They help companies install data center facilities and optimize existing infrastructure. PT Daya Cipta Mandiri is a partner of several monitoring and IT management software companies, and has expertise in networking, system integration, and banking support systems.
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
The document discusses how cloud computing is transforming enterprise IT by allowing businesses to focus on their core operations while improving security. It describes how thousands of enterprises are migrating their infrastructure and applications to the cloud. It provides examples of traditional IT organizational structures and how they can evolve to a cloud-first model with a Cloud Center of Excellence to manage the cloud migration. It also outlines common strategies and steps involved in migrating applications and infrastructure to the cloud.
This document discusses Amazon Web Services' database and analytics services. It begins by noting that 85% of businesses want to be data-driven but only 37% have been successful. It then presents the "data flywheel" concept of breaking from legacy databases, modernizing data infrastructure and data warehouses, turning data into insights, and building data-driven applications to gain momentum with data. The document provides overviews and benefits of AWS services like Amazon Aurora, Athena, Redshift, RDS, DMS, and Elasticsearch. It also introduces new capabilities for these services like machine learning with Aurora, RDS on Outposts, UltraWarm storage for Elasticsearch, and materialized views in Redshift.
This document provides an overview of appStrategy's Solution Engine and key products appCompass and appRadius. The Solution Engine is a common platform for composing, deploying, and running solutions across vertical and horizontal markets. appCompass is a powerful workflow-based integration and process orchestration engine, while appRadius is a visual development framework for customizing Dynamics CRM, AX, NAV, Salesforce, and building portals. Both products leverage the Solution Engine and its workflow activities to quickly build integrated solutions that connect disparate systems.
This document provides an overview of appStrategy's Solution Engine and key products appCompass and appRadius. The Solution Engine is a common platform for composing, deploying, and running solutions across vertical and horizontal markets. appCompass is a powerful workflow-based integration and process orchestration engine, while appRadius is a visual development framework for customizing Dynamics CRM, AX, NAV, Salesforce, and building custom web portals. Both products leverage the Solution Engine and its workflow activities to quickly build integrated solutions that connect disparate systems.
This document provides an overview of Microsoft BizTalk Server 2006 and its integration capabilities with SAP systems. It discusses the BizTalk architecture, key components like the adapter framework and messaging engine. It also summarizes the SAP adapter functionality for connecting BizTalk to SAP systems using IDocs, BAPIs and RFCs in a transactional manner. Resources and examples of e-business scenarios using this integration are also provided.
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
Azure Data Explorer deep dive - review 04.2020Riccardo Zamana
Modern Data Science Lifecycle with ADX & Azure
This document discusses using Azure Data Explorer (ADX) for data science workflows. ADX is a fully managed analytics service for real-time analysis of streaming data. It allows for ad-hoc querying of data using Kusto Query Language (KQL) and integrates with various Azure data ingestion sources. The document provides an overview of the ADX architecture and compares it to other time series databases. It also covers best practices for ingesting data, visualizing results, and automating workflows using tools like Azure Data Factory.
Microsoft BizTalk Server is a platform for integrating diverse systems both within and between organizations. It provides connectivity through over 25 adapters and a robust messaging infrastructure. BizTalk Server allows organizations to simplify integration, gain business insights, promote agility, and automate interactions with partners by connecting disparate systems in an agile and scalable way. It is used by over 10,000 customers worldwide across many industries.
MSC203_How Citrix Uses AWS Marketplace Solutions To Accelerate Analytic Workl...Amazon Web Services
Find out how Citrix built a solution using Matillion ETL for Amazon Redshift from AWS Marketplace to load all data into an Amazon Redshift cluster, allowing them to do their analytics on the entire environment at a single time. We’ll discuss the transition made to consolidate multiple disparate databases in order to run analytic workloads, get a holistic view of all their data sources, and prevent inconsistent data from being captured.
How Citrix Uses AWS Marketplace Solutions to Accelerate Analytic Workloads on...Amazon Web Services
Find out how Citrix built a solution using Matillion ETL for Amazon Redshift from AWS Marketplace to load all data into an Amazon Redshift cluster, allowing them to do their analytics on the entire environment at a single time. We’ll discuss the transition made to consolidate multiple disparate databases in order to run analytic workloads, get a holistic view of all their data sources, and prevent inconsistent data from being captured.
The document introduces Microsoft Azure and provides some key details. It discusses how Azure provides faster application development and quick scaling. It also notes Azure offers lower costs compared to traditional infrastructure. As an example, it highlights Windows Azure Storage and how it provides huge global infrastructure scale with over 100 datacenters in 19 regions worldwide.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Microsoft Technologies for Data Science 201612Mark Tabladillo
The document discusses Microsoft technologies that can be used for data science, including SQL Server, Azure ML, Cortana Intelligence Suite, and R Server. It provides definitions of key terms like data science, machine learning, and data mining. It also shares links to resources for learning about Microsoft's data science tools and platforms.
This document provides an overview of product development and the Microsoft Azure cloud platform. It discusses key aspects of the product development process like building the right product and building it right. It also covers business model canvassing, customer discovery/validation, lean startup methodology, Agile development processes, and deploying technologies in public, private, and hybrid cloud environments. The document promotes Microsoft Azure as an open, flexible cloud platform that can be used to rapidly setup environments to drive business priorities and scale applications. It describes various Azure services like computing, storage, databases, analytics, AI, and more. Finally, it outlines the BizSpark program that provides startups with free Azure credits and software to help scale their businesses on Microsoft's cloud.
Launch Your Social Game or App in the Cloud in Record TimeRightScale
RightScale Webinar: February 8, 2011 – In this Webinar, we demonstrate how RightScale can manage your game/app through the stages of concept, production, growth, maturity and niche.
WebFest 2011 Hosting Applications CR by David TangSpiffy
David Tang, a Product Marketing Manager at Microsoft Singapore, discussed how customers can expand their services from on-premise to hosted to cloud solutions using Microsoft technologies. He outlined scenarios for publishing a website and editing a live site remotely. The presentation promoted Microsoft's cloud computing landscape including Infrastructure as a Service, Platform as a Service and Software as a Service. It also covered emerging IT roles and skill sets needed for working with cloud technologies.
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
PT Daya Cipta Mandiri is an IT solutions provider in Indonesia established since 2007. They provide data center infrastructure, cloud, and monitoring solutions. They help companies install data center facilities and optimize existing infrastructure. PT Daya Cipta Mandiri is a partner of several monitoring and IT management software companies, and has expertise in networking, system integration, and banking support systems.
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
The document discusses how cloud computing is transforming enterprise IT by allowing businesses to focus on their core operations while improving security. It describes how thousands of enterprises are migrating their infrastructure and applications to the cloud. It provides examples of traditional IT organizational structures and how they can evolve to a cloud-first model with a Cloud Center of Excellence to manage the cloud migration. It also outlines common strategies and steps involved in migrating applications and infrastructure to the cloud.
This document discusses Amazon Web Services' database and analytics services. It begins by noting that 85% of businesses want to be data-driven but only 37% have been successful. It then presents the "data flywheel" concept of breaking from legacy databases, modernizing data infrastructure and data warehouses, turning data into insights, and building data-driven applications to gain momentum with data. The document provides overviews and benefits of AWS services like Amazon Aurora, Athena, Redshift, RDS, DMS, and Elasticsearch. It also introduces new capabilities for these services like machine learning with Aurora, RDS on Outposts, UltraWarm storage for Elasticsearch, and materialized views in Redshift.
This document provides an overview of appStrategy's Solution Engine and key products appCompass and appRadius. The Solution Engine is a common platform for composing, deploying, and running solutions across vertical and horizontal markets. appCompass is a powerful workflow-based integration and process orchestration engine, while appRadius is a visual development framework for customizing Dynamics CRM, AX, NAV, Salesforce, and building portals. Both products leverage the Solution Engine and its workflow activities to quickly build integrated solutions that connect disparate systems.
This document provides an overview of appStrategy's Solution Engine and key products appCompass and appRadius. The Solution Engine is a common platform for composing, deploying, and running solutions across vertical and horizontal markets. appCompass is a powerful workflow-based integration and process orchestration engine, while appRadius is a visual development framework for customizing Dynamics CRM, AX, NAV, Salesforce, and building custom web portals. Both products leverage the Solution Engine and its workflow activities to quickly build integrated solutions that connect disparate systems.
This document provides an overview of Microsoft BizTalk Server 2006 and its integration capabilities with SAP systems. It discusses the BizTalk architecture, key components like the adapter framework and messaging engine. It also summarizes the SAP adapter functionality for connecting BizTalk to SAP systems using IDocs, BAPIs and RFCs in a transactional manner. Resources and examples of e-business scenarios using this integration are also provided.
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
Azure Data Explorer deep dive - review 04.2020Riccardo Zamana
Modern Data Science Lifecycle with ADX & Azure
This document discusses using Azure Data Explorer (ADX) for data science workflows. ADX is a fully managed analytics service for real-time analysis of streaming data. It allows for ad-hoc querying of data using Kusto Query Language (KQL) and integrates with various Azure data ingestion sources. The document provides an overview of the ADX architecture and compares it to other time series databases. It also covers best practices for ingesting data, visualizing results, and automating workflows using tools like Azure Data Factory.
Microsoft BizTalk Server is a platform for integrating diverse systems both within and between organizations. It provides connectivity through over 25 adapters and a robust messaging infrastructure. BizTalk Server allows organizations to simplify integration, gain business insights, promote agility, and automate interactions with partners by connecting disparate systems in an agile and scalable way. It is used by over 10,000 customers worldwide across many industries.
MSC203_How Citrix Uses AWS Marketplace Solutions To Accelerate Analytic Workl...Amazon Web Services
Find out how Citrix built a solution using Matillion ETL for Amazon Redshift from AWS Marketplace to load all data into an Amazon Redshift cluster, allowing them to do their analytics on the entire environment at a single time. We’ll discuss the transition made to consolidate multiple disparate databases in order to run analytic workloads, get a holistic view of all their data sources, and prevent inconsistent data from being captured.
How Citrix Uses AWS Marketplace Solutions to Accelerate Analytic Workloads on...Amazon Web Services
Find out how Citrix built a solution using Matillion ETL for Amazon Redshift from AWS Marketplace to load all data into an Amazon Redshift cluster, allowing them to do their analytics on the entire environment at a single time. We’ll discuss the transition made to consolidate multiple disparate databases in order to run analytic workloads, get a holistic view of all their data sources, and prevent inconsistent data from being captured.
The document introduces Microsoft Azure and provides some key details. It discusses how Azure provides faster application development and quick scaling. It also notes Azure offers lower costs compared to traditional infrastructure. As an example, it highlights Windows Azure Storage and how it provides huge global infrastructure scale with over 100 datacenters in 19 regions worldwide.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
1. MineQuest Business Analytics, LLC | Sales: (614) 457-3714 | www.MineQuest.com
MineQuest
where business intelligence lives
WPS
V3.3
WPS Highlights
• WPS provides support for most
of the same SAS language that
you already use.
• WPS Access Engines are
integrated into WPS Core.
• No complex pricing since all
modules are included in one
reasonable fee.
___________
WPS Business Benefits
• Lower your Enterprise Software
License costs by as much as 50%
to 60%.
• Continue to use the same SAS
language that your organization
has already made an investment
in.
• Maintain your developers’
expertise and leverage their
educational investment in the
SAS language by using WPS.
WPS is a SAS language alternative software application that runs on
many different flavors of UNIX and Linux, Mac OS X, Windows, AIX,
SUN Sparc, z/OS and z/Linux. WPS is a full featured interpreter that is
a reasonably priced re-
placement for the most
commonly used SAS
modules.
Companies of all sizes from
small consulting firms to
Fortune 100 companies
use WPS to manage data,
create reports and out
maneuver their
competitors. These
companies run some of
their most important
business processes using
WPS on desktops, servers
and mainframes.
Access, manage and analyze large datasets effortlessly whether on a
desktop, network server or mainframe. WPS effortlessly reads and
writes SAS datasets and SPSS files giving you complete flexibility when
supplying data to outside vendors or when working in a hybrid
research and analytics environment.
Compared to other analytics software, WPS is easy to use, has a lower
total cost of ownership and is less restrictive in its licensing. With WPS,
you don't have to be concerned with additional fees if you are a data
service provider using our software.
WPS is an integrated product that includes support for the core SAS
language, and includes 18 database access engines, graphics and
numerous statistical procedures that are most commonly used in
business.
MineQuest Business Analytics is an authorized reseller of WPS
Software for North America. For more information on WPS or for a
free 30-day evaluation trial, contact MineQuest today at:
Contact: Phil Rack
E-mail: PhilRack@MineQuest.com
Tel: (614) 457-3714 Web: www.MineQuest.com
2. MineQuest Business Analytics, LLC | Sales: (614) 457-3714 | www.MineQuest.com
MineQuest
where business intelligence lives
Database and Access Engines in WPS V3.3
Database and Access
Engines
Win OS X Linux
SASV6 (SD2 dataset)
SASV8 (SAS7BDAT dataset)
SASV9 (SAS7BDAT dataset)
SASSEQ
SPSS
SPSSDIR
WPD
WPDSEQ
XPORT
WPS Engine for Actian Matrix
WPS Engine for DB2
WPS Engine for DB Files
WPS Engine for Greenplum
WPS Engine for Hadoop
WPS Engine for Informix
WPS Engine for Kognitio
WPS Engine for MySQL
WPS Engine for Netezza
WPS Engine for ODBC
WPS Engine for OLEDB
WPS Engine for Oracle
WPS Engine for PostgreSQL
WPS Engine for SQL Server
WPS Engine for Sybase
WPS Engine for SAND
WPS Engine for Teradata
WPS Engine for Vertica
WPS Engine for XLSX
Language Support for WPS V3.3
WPS Core Procedures V3.3
ACCESS APPEND CATALOG CDISC
CHART CIMPORT COMPARE CONTENTS
COPY CORR CPORT DATASETS
DBLOAD DELETE EXPORT FMTLIB
FORMAT FORMS FREQ HTTP
IMPORT JAVAINFO JSON MEANS
OPTION OPTLOAD OPTSAVE PLOT
PRINT PRINTTO PWENCODE PYTHON
RANK REPORT SOAP SORT
SOURCE SQL STANDARD SUMMARY
TABULATE TRANSPOSE TRANTAB UNIVARIATE
WPS Graphic Procedures v3.3
GANNO GBARLINE GCHART GPLOT
GREPLAY GSLIDE
WPS Communication Modules v3.3
WPS LINK WPS COMMUNICATE
WPS Statistical Procedures v3.3
WPS Time Series Procedures v3.3
ARIMA EXPAND FORECAST X12
Data Step Support Supported
DATA Step Options
DATA Step Functions
DATA Step Statements
Formats
Informats
Global Statements
Macros (old and new)
ODS Output (Text, PDF and HTML)
System Options
ACECLUS ANOVA BOXPLOT CANCOR
CLUSTER CORRESP DISCRIM DISTANCE
FACTOR FASTCLUS GENMOD GLM
GLMMOD IML KDE LIFEREG
LIFETEST LOESS LOGISTIC MI
MIXED MODECLUS NESTED NLIN
NPAR1WAY PHREG PRINCOMP PROBIT
R REG SCORE SIMNORMAL
STDSIZE STEPDISC SURVEYSELECT TREE
TTEST VARCLUS VARCOMP