BigQuery ML - Machine learning at scale using SQLMárton Kodok
With BigQuery ML, you can build machine learning models without leaving the data warehouse environment and training it on massive datasets. We are going to demonstrate how to build, train, eval and predict, your own scalable machine learning models using standard SQL language in Google BigQuery.
We will see how can we use CREATE MODEL sql syntax to build different models such as:
Linear regression
Multiclass logistic regression for classification
K-means clustering
Import TensorFlow models for prediction in BigQuery
We will see how we can apply these models on tabular data in retail and marketing use cases.
Models are trained and accessed in BigQuery using SQL — a language data analysts know. This enables business decision making through predictive analytics across the organization without leaving the query editor.
While the adoption of machine learning and deep learning techniques continue to grow, many organizations find it difficult to actually deploy these sophisticated models into production. It is common to see data scientists build powerful models, yet these models are not deployed because of the complexity of the technology used or lack of understanding related to the process of pushing these models into production.
As part of this talk, I will review several deployment design patterns for both real-time and batch use cases. I’ll show how these models can be deployed as scalable, distributed deployments within the cloud, scaled across hadoop clusters, as APIs, and deployed within streaming analytics pipelines. I will also touch on topics related to security, end-to-end governance, pitfalls, challenges, and useful tools across a variety of platforms. This presentation will involve demos and sample code for the the deployment design patterns.
Revit 2018 API News from DevDays Online 2016, cf. http://thebuildingcoder.typepad.com/blog/2017/03/revitlookup-enhancements-future-revit-and-other-api-news.html
Un orquestador en la nube: Azure Data Factory (por Carlos Sacristán)Jorge Millán Cabrera
En esta breve charla, Carlos Sacristán nos mostrará qué es ADF, sus componentes principales y cómo podemos sacarle partido empleándolo en algunos escenarios de uso típicos.
BigQuery ML - Machine learning at scale using SQLMárton Kodok
With BigQuery ML, you can build machine learning models without leaving the data warehouse environment and training it on massive datasets. We are going to demonstrate how to build, train, eval and predict, your own scalable machine learning models using standard SQL language in Google BigQuery.
We will see how can we use CREATE MODEL sql syntax to build different models such as:
Linear regression
Multiclass logistic regression for classification
K-means clustering
Import TensorFlow models for prediction in BigQuery
We will see how we can apply these models on tabular data in retail and marketing use cases.
Models are trained and accessed in BigQuery using SQL — a language data analysts know. This enables business decision making through predictive analytics across the organization without leaving the query editor.
While the adoption of machine learning and deep learning techniques continue to grow, many organizations find it difficult to actually deploy these sophisticated models into production. It is common to see data scientists build powerful models, yet these models are not deployed because of the complexity of the technology used or lack of understanding related to the process of pushing these models into production.
As part of this talk, I will review several deployment design patterns for both real-time and batch use cases. I’ll show how these models can be deployed as scalable, distributed deployments within the cloud, scaled across hadoop clusters, as APIs, and deployed within streaming analytics pipelines. I will also touch on topics related to security, end-to-end governance, pitfalls, challenges, and useful tools across a variety of platforms. This presentation will involve demos and sample code for the the deployment design patterns.
Revit 2018 API News from DevDays Online 2016, cf. http://thebuildingcoder.typepad.com/blog/2017/03/revitlookup-enhancements-future-revit-and-other-api-news.html
Un orquestador en la nube: Azure Data Factory (por Carlos Sacristán)Jorge Millán Cabrera
En esta breve charla, Carlos Sacristán nos mostrará qué es ADF, sus componentes principales y cómo podemos sacarle partido empleándolo en algunos escenarios de uso típicos.
Smart application on Azure at Vattenfall - Rens Weijers & Peter van 't HofGoDataDriven
During GoDataFest 2019, Rens Weijers, manager data & strategy and Peter van ' t Hof, data engineer, share the story of how Vattenfall develops smart applications on Azure. Vattenfall has the ambition to transition to fossil-free living within one generation. But what about decentral energy solutions in the Customers & Solutions business unit? Data is key to help customers to reduce their CO2 footprint. Azure enables Vattenfall to be personal and relevant towards customers.
DiscoverEdge developed the Cash Flow Forecaster solution to optimize your cash management and cash flow forecasting process: by an automated connection with your ERP data and by adding smart analytics, the Cash Flow Forecaster will provide you with an easy and accurate cash flow forecast in no time!
Request your free trial and start optimising your cash position today! Read more at www.getcashforecaster.com
If you love QlikView and you ever thought "Wouldn't it be great to do data-entry inside QlikView and to be able to develop budgeting and planning applications?" ... now you can, with KliqPlan and the other members of the “Planning Suite” by KT Labs.
KliqPlan is the first of a new line of Extension Objects by KT Labs (QlikTech Technology Partner). It supports data-entry within QlikView with a rich set of features including: data spread&break-back, blocked totals, cells locking, workflow, smart Paste, audit trails and a table editor.
Find out more on www.ktlabs.com
Forge - DevCon 2016: Visual Reporting with Connected Design DataAutodesk
Viewing a 3D model on a webpage or in a mobile app is really cool, but visualizing design data isn’t just about meshes and textures. In this class Philippe Leefsma of Autodesk will show you how the Forge Model Derivative API and JavaScript viewer give you access to the valuable data associated with each model component that is extracted from the original design file. We will take that a step further and connect those models to an external database to add even richer data. Finally, we will stylize the model to turn a model into a powerful, intuitive reporting tool.
Microsoft Dynamics 365 CRM. Dynamics 365 provides out-of-box reports for analyzing your business data. Dynamics 365 reports are based on SQL Server Reporting Services (SSRS).
SP Tech Con San Francisco 2014 - Office 365 Information Architecture and Gove...Summit 7 Systems
From SPTechCon San Francisco 2014: The Office 365 technical architecture has forced many to change their information architecture and governance plans. This class will help you understand hybrid cloud challenges, platform gaps, and how to overcome some of the Office 365 feature limitations. You’ll see examples on planning role-based authorization, distributed and tiered governance models, managing the personal cloud space, and how mobile devices will impact your design. Last, the class will end with some live demonstrations of how to implement the features and controls discussed during the session. In this class, you will learn the benefits of function over design, understand some real-world compromises, and learn about the available features for governance and content management.
Part III of III: SAP Advanced Authorization for SAP Global Deployments: Octo...NextLabs, Inc.
Part 2: SAP authorization model for Export Compliance
All global companies need to comply with one or more export compliance regulations when authorizing access to data. In Part 2, we will provide an in depth example of the authorization framework using export compliance as a showcase.
http://www.nextlabs.com/html/?q=web-request-webinar-information-risk-management
LeanIX Virtual Workspaces make it possible for enterprises to operate across a shared IT inventory while setting specific access rights to protect confidential data or reducing the complexity of a workspace for certain business units.
Check out our overview where we cover best practices, tips and tricks for Virtual Workspaces use cases.
Data Discovery and BI - Is there Really a Difference?Inside Analysis
The Briefing Room with John O'Brien and Birst
Live Webcast Dec. 3, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7869542&rKey=1f6574abc879ca42
While the disciplines of business intelligence and discovery certainly overlap, there are key distinctions between the two, both in terms of design point and user interface. While traditionally it is believed different architectures are required to address these differing analytic needs, is that really the case? Or is discovery simply another key capability within an overall BI platform?
Register for this episode of The Briefing Room to learn from veteran Analyst John O'Brien of Radiant Advisors as he outlines best practices for enabling high-quality business intelligence and discovery, and the architectural capabilities to enable both. He'll be briefed by Brad Peters of Birst who will tout his company's cloud BI platform. In particular, Peters will demonstrate how the Birst architecture was especially designed for enterprise-caliber BI and argue for a more inclusive future BI architecture.
Visit InsideAnalysis.com for more information
Open Group Presentation on MSBI method of creating Enterprise Architecture Co...Nick Malik
This presentation describes a step-by-step process for creating a core diagram that is applicable to companies that exist within the collaboration operating model, as described by Ross and Weill in their book "Enterprise Architecture As Strategy." The method produces a core diagram that preserves business agility by forcing the enterprise architect to consider the costs and benefits of reuse of processes, information, services, and systems. The resulting model supports "Capability at the Core, and Agility at the Edge."
Bussiness Analyst Online Training in HyderabadUgs8008
Bussiness Analyst Online Training in Hyderabad,Bussiness Analyst Online Training in india,Bussiness Analyst Online Training in USA,Bussiness Analyst Online Training in UK
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Smart application on Azure at Vattenfall - Rens Weijers & Peter van 't HofGoDataDriven
During GoDataFest 2019, Rens Weijers, manager data & strategy and Peter van ' t Hof, data engineer, share the story of how Vattenfall develops smart applications on Azure. Vattenfall has the ambition to transition to fossil-free living within one generation. But what about decentral energy solutions in the Customers & Solutions business unit? Data is key to help customers to reduce their CO2 footprint. Azure enables Vattenfall to be personal and relevant towards customers.
DiscoverEdge developed the Cash Flow Forecaster solution to optimize your cash management and cash flow forecasting process: by an automated connection with your ERP data and by adding smart analytics, the Cash Flow Forecaster will provide you with an easy and accurate cash flow forecast in no time!
Request your free trial and start optimising your cash position today! Read more at www.getcashforecaster.com
If you love QlikView and you ever thought "Wouldn't it be great to do data-entry inside QlikView and to be able to develop budgeting and planning applications?" ... now you can, with KliqPlan and the other members of the “Planning Suite” by KT Labs.
KliqPlan is the first of a new line of Extension Objects by KT Labs (QlikTech Technology Partner). It supports data-entry within QlikView with a rich set of features including: data spread&break-back, blocked totals, cells locking, workflow, smart Paste, audit trails and a table editor.
Find out more on www.ktlabs.com
Forge - DevCon 2016: Visual Reporting with Connected Design DataAutodesk
Viewing a 3D model on a webpage or in a mobile app is really cool, but visualizing design data isn’t just about meshes and textures. In this class Philippe Leefsma of Autodesk will show you how the Forge Model Derivative API and JavaScript viewer give you access to the valuable data associated with each model component that is extracted from the original design file. We will take that a step further and connect those models to an external database to add even richer data. Finally, we will stylize the model to turn a model into a powerful, intuitive reporting tool.
Microsoft Dynamics 365 CRM. Dynamics 365 provides out-of-box reports for analyzing your business data. Dynamics 365 reports are based on SQL Server Reporting Services (SSRS).
SP Tech Con San Francisco 2014 - Office 365 Information Architecture and Gove...Summit 7 Systems
From SPTechCon San Francisco 2014: The Office 365 technical architecture has forced many to change their information architecture and governance plans. This class will help you understand hybrid cloud challenges, platform gaps, and how to overcome some of the Office 365 feature limitations. You’ll see examples on planning role-based authorization, distributed and tiered governance models, managing the personal cloud space, and how mobile devices will impact your design. Last, the class will end with some live demonstrations of how to implement the features and controls discussed during the session. In this class, you will learn the benefits of function over design, understand some real-world compromises, and learn about the available features for governance and content management.
Part III of III: SAP Advanced Authorization for SAP Global Deployments: Octo...NextLabs, Inc.
Part 2: SAP authorization model for Export Compliance
All global companies need to comply with one or more export compliance regulations when authorizing access to data. In Part 2, we will provide an in depth example of the authorization framework using export compliance as a showcase.
http://www.nextlabs.com/html/?q=web-request-webinar-information-risk-management
LeanIX Virtual Workspaces make it possible for enterprises to operate across a shared IT inventory while setting specific access rights to protect confidential data or reducing the complexity of a workspace for certain business units.
Check out our overview where we cover best practices, tips and tricks for Virtual Workspaces use cases.
Data Discovery and BI - Is there Really a Difference?Inside Analysis
The Briefing Room with John O'Brien and Birst
Live Webcast Dec. 3, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7869542&rKey=1f6574abc879ca42
While the disciplines of business intelligence and discovery certainly overlap, there are key distinctions between the two, both in terms of design point and user interface. While traditionally it is believed different architectures are required to address these differing analytic needs, is that really the case? Or is discovery simply another key capability within an overall BI platform?
Register for this episode of The Briefing Room to learn from veteran Analyst John O'Brien of Radiant Advisors as he outlines best practices for enabling high-quality business intelligence and discovery, and the architectural capabilities to enable both. He'll be briefed by Brad Peters of Birst who will tout his company's cloud BI platform. In particular, Peters will demonstrate how the Birst architecture was especially designed for enterprise-caliber BI and argue for a more inclusive future BI architecture.
Visit InsideAnalysis.com for more information
Open Group Presentation on MSBI method of creating Enterprise Architecture Co...Nick Malik
This presentation describes a step-by-step process for creating a core diagram that is applicable to companies that exist within the collaboration operating model, as described by Ross and Weill in their book "Enterprise Architecture As Strategy." The method produces a core diagram that preserves business agility by forcing the enterprise architect to consider the costs and benefits of reuse of processes, information, services, and systems. The resulting model supports "Capability at the Core, and Agility at the Edge."
Bussiness Analyst Online Training in HyderabadUgs8008
Bussiness Analyst Online Training in Hyderabad,Bussiness Analyst Online Training in india,Bussiness Analyst Online Training in USA,Bussiness Analyst Online Training in UK
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Is your organization contemplating a migration to Office 365? Whether you are planning to move SharePoint or Exchange or whether you are planning to implement OneDrive for Business, Skype for Business, or Power BI, this session will cover many aspects of how to plan for a migration to Office 365.
Specifically, Doug Hemminger will walk us through how to:
• Inventory your current environment and make key deployment decisions about what to migrate and how to migrate it.
• Fix potential deployment blockers including how to cleanup active directory and how to get your network ready for Office 365.
• Set up Office 365 services to work for your organization, including enabling and disabling the appropriate features and services.
• Roll out Office 365 out to your users including assigning the appropriate licenses and communicating key concepts
This session will be a mix of presentation and demonstration. By the end of the session, you should have a good idea of how to plan your migration to Office 365.
Read on to:
1. Understand how strategic dashboards are different from other types of dashboards and how it tells the story of KPIs, actions, risks, objectives by linking strategy to operations.
2. Know the role of analytics in strategic business dashboards are a mainstay in today's business and How to build agility into your strategic dashboards.
3. Get to know the two fundamental ways of building dashboards and their differences.
4. Understand the difference between Technology stack and a business solution.
The PPT also contains a demonstration of a strategic dashboard solution.
SAP SuccessFactors Employee Central is SAP's HRIS software. The cloud solution can help you standardize processes globally and provides visibility to make better people decisions. It includes capabilities for managing user profiles, organizational charts, global benefits administration, and absence management.
Four Key Considerations for your Big Data Analytics StrategyArcadia Data
Learn 4 of the key things to consider as you create your big data analytics strategy from John Meyers (Enterprise Management Associates) and Steve Wooledge (Arcadia Data).
Similar to A practical approach for naming elements in Adobe Launch (20)
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
18. 18Proprietary & Confidential
NAMING PROPERTIES - BY BRAND
The company Bounteous owns two brands:
● Brand A
● Brand B
Scenario 1/3 Property Setup
19. 19Proprietary & Confidential
NAMING PROPERTIES - BY REGION
Brand A has a separate web presence for
the two regions:
● EMEA
● NA
Scenario 2/3 Property Setup
20. 20Proprietary & Confidential
NAMING PROPERTIES - BY PLATFORMS
Brand B manages the following platforms
globally:
● Web
● iOS
● Android
Scenario 3/3 Property Setup
23. 23Proprietary & Confidential
NAMING RULES
[Category] - [User Action]
Category Action
Site Search Search
Click Result
Apply Filter
Forms View Form
Start Form
Submit Form
29. 29Proprietary & Confidential
NAMING DATA ELEMENTS - EXTENSION ABBREVIATION
[Extension Abbreviation]:[Type]:[Searchable Detail]
Extension Name Abbreviation
Adobe Analytics aa
Adobe Experience Platform aep
Adobe Target at
Core Extension cr
Data Layer Manager dlm
30. 30Proprietary & Confidential
NAMING DATA ELEMENTS - TYPE
[Extension Abbreviation]:[Type]:[Searchable Detail]
Type Meaning
cookie cookie
dlv data layer variable
31. 31Proprietary & Confidential
NAMING DATA ELEMENTS - SEARCHABLE DETAIL
[Extension Abbreviation]:[Type]:[Searchable Detail]
Type Searchable Details
cookie The actual cookie name
dlv The actual object path
32. How could Launch make our lives easier?
FROM A PRODUCT PERSPECTIVE
33. 33Proprietary & Confidential
IMPLEMENT ADDITIONAL FILTER OPTIONS
Rules
● By Extension(s)
● By Data Element(s)
Data Elements
● By Extension
● By Type
● By Rule