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TIBCO Spotfire：A Comprehensive Primer（Second Edition）
Theneedforagilebusinessintelligence(BI)isgrowingdaily,andTIBCOSpotfire?combinesself-servicefeatureswithessentialenterprisegovernanceandscalingcapabilitiestoprovidebest-practiceanalyticssolutions.SpotfireiseasyandintuitivetouseandisarewardingenvironmentforallBIusersandanalyticsdevelopers.Startingwithdataandvisualizationconcepts,thisbooktakesyouonajourneythroughincreasinglyadvancedtopicstohelpyouworktowardbecomingaprofessionalanalyticssolutionprovider.Examplesofanalyzingreal-worlddataareusedtoillustratehowtoworkwithSpotfire.Onceyou'vecoveredtheAI-drivenrecommendationsengine,you'llmoveontounderstandingSpotfire'srichsuiteofvisualizationsandwhen,whyandhowyoushoulduseeachofthem.Inlaterchapters,you'llworkwithlocationanalytics,advancedanalyticsusingTIBCOEnterpriseRuntimeforR?,howtodecidewhethertousein-databaseorin-memoryanalytics,andhowtoworkwithstreaming(live)datainSpotfire.You'llalsoexplorekeyproductintegrationsthatsignificantlyenhanceSpotfire'scapabilities.ThisbookwillenableyoutoexploittheadvantagesoftheSpotfireservetopologyandlearnhowtomakepracticaluseofschedulingandroutingrules.Bytheendofthisbook,youwillhavelearnedhowtobuildandusepowerfulanalyticsdashboardsandapplications,performspatialanalytics,andbeabletoadministeryourSpotfireenvironmentefficiently
目錄(278章)
倒序
- coverpage
- Title Page
- Copyright and Credits
- TIBCO Spotfire: A Comprehensive Primer Second Edition
- Dedication
- About Packt
- Why subscribe?
- Packt.com
- Contributors
- About the authors
- About the reviewer
- Packt is searching for authors like you
- Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Download the color images
- Conventions used
- Get in touch
- Reviews
- Section 1: Introducing Spotfire
- Welcome to Spotfire
- Getting started with TIBCO Spotfire
- Launching Spotfire Analyst
- Logging in to TIBCO Cloud Spotfire
- Downloading Spotfire Cloud Analyst
- Installing the mobile apps and logging in to TIBCO Cloud
- TIBCO Spotfire for macOS
- Logging in to the Spotfire web clients (on-premises)
- Spotfire licenses
- Getting started with loading data
- Importing Excel spreadsheets into Spotfire
- Introduction to the data panel
- The Spotfire recommendations engine
- Saving Spotfire files
- Saving a file in analyst clients
- Saving a file in Spotfire Cloud or Business Author
- Producing a useful interactive dashboard
- Coloring
- Proportionality with bar charts and pie charts
- Drilling in to the data – details visualizations
- Insights from details visualizations
- Using filters
- Trellising
- Summary
- It's All About the Data
- Technical requirements
- Understanding the basic row/column structure of a data table
- Exploring key data types
- Building a scatter plot with real-world data
- Gathering population data
- Gathering country and region data
- Combining the data
- What is a scatter plot?
- Building the scatter plot using population growth versus child mortality
- Working with natural hierarchies in data
- Gaining insight from the scatter plot
- Displaying information quickly in tabular form
- Enriching visualizations with color categorization
- Visualizing hierarchical data using treemaps
- Summary
- Impactful Dashboards!
- KPI charts
- Constructing a KPI chart
- Coloring sorting and other customization of the KPI chart
- Enabling end users to configure the KPI chart interactively
- Framing your analysis using text areas
- Spotfire custom expressions
- Spotfire document properties
- Spotfire property controls
- Bringing it all together – interactively configuring the KPI chart
- Drilling in to the KPI chart
- Marking in Spotfire
- Building a details visualization using marking
- Deep dive – what insights can the dashboard reveal?
- Publishing the dashboard to Spotfire Web
- Summary
- Sharing Insights and Collaborating with Others
- Bookmarks
- Advanced topic – key columns
- Annotations
- Conversations
- Summary
- Section 2: Spotfire In Depth
- Practical Applications of Spotfire Visualizations
- Bar charts
- Things to watch out for with bar charts
- Bar chart summary
- Combination charts
- Cross tables
- Cross table grand totals
- Grand totals – underlying values versus sum of cell values
- Underlying values
- Sum of cell values
- Cross table summary
- Scatter plots
- Line ordering
- Density plots
- Other types of visualization with scatter plots
- Scatter plot summary
- Line charts
- Pie charts
- Box plots
- How to further interpret a box plot
- More box plot options
- Box plot summary
- Treemaps
- Waterfall charts
- Graphical tables
- Graphical table visualization types
- Graphical table summary
- Taking action from KPI charts or graphical tables
- Other visualization types
- Summary
- The Big Wide World of Spotfire
- An overview of the Spotfire platform
- Spotfire server
- Spotfire database
- Nodes and services
- Spotfire Web Player(s) and Business Author
- Spotfire Automation Services
- Spotfire Analyst clients and mobile clients
- Spotfire Statistics Services
- Spotfire Web Player scalability
- A quick guide to administration manager
- Users
- Groups and licenses
- Special user groups
- Preferences
- Using the library administration interface
- Folder permissions
- Import and export
- Automating tasks using Automation Services
- Running Automation Services jobs
- The Spotfire administration console
- Analytics
- Library
- Users and groups
- Scheduling and routing
- Nodes and services
- Deployments and packages
- Monitoring and diagnostics
- Automation Services
- Summary
- Source Data is Never Enough
- Technical requirements
- Creating metrics using calculated columns
- Basic metric
- Dynamic metric
- Categorizing continuous numerical data using binning functions
- Slicing and dicing data using hierarchy nodes
- LastPeriods
- PreviousPeriod
- ParallelPeriod
- NavigatePeriod
- AllPrevious and AllNext
- Previous and next
- Intersect
- Over methods in calculated columns versus axis expressions
- Over method summary
- Other calculations in Spotfire
- Data manipulation – where why and how?
- Merging (joining) data from multiple sources
- Tall tables versus wide tables
- Tall tables
- Wide tables
- Transforming data structure through pivots and unpivots
- Unpivot
- Pivot
- Other transformations
- Summary
- The World is Your Visualization
- Data relations (between tables)
- Setting up relationships between data tables
- Configuring marking and filtering between related data tables
- Mashing up data from different tables in a single visualization
- Comparing subsets of data
- Showing/hiding items of data
- Annotating visualizations with reference lines fitted curves and error bars
- Fitted curves
- Forecasting
- Error bars
- Visualizing categorical information and trends together in combination charts
- Visualizing complex multidimensional data using heat maps
- Heat maps
- Dendrograms
- Profiling your data using parallel coordinate plots
- Summary
- What's Your Location?
- Map chart layers
- Getting started with map charts
- Coordinate reference systems
- Using geocoding to position data on a map
- Geocoding using a zip code
- Case study – when geocoding doesn't work
- Feature layers
- Using a data function to assist with geocoding
- Adding Web Map Service data to a map chart
- Creating custom maps using Tile Map Service layers
- Using the map chart for non-geographic spatial analysis
- Mapping an airport
- Process mapping using a map chart
- TIBCO GeoAnalytics
- Summary
- Section 3: Databases Scripting and Scaling Spotfire
- Information Links and Data Connectors
- In-memory versus in-database analytics
- Information links
- Data sources
- Column
- Joins
- Filters
- Procedures
- Information links
- Loading data from an information link
- Writing back to a database using an information link
- Data connectors
- Loading data from a connector
- Using data on demand to retrieve raw data
- Troubleshooting data on demand
- Custom expressions with in-database data
- Important points to note with in-database (external) data
- Connection credentials for Web Player users and Automation Services jobs
- Saving connections to the Spotfire library
- Streaming data
- Summary
- Scripting Advanced Analytics and Extensions
- Scripting in Spotfire – the why how and what
- Automating actions using IronPython
- Customizing the Spotfire user interface using JavaScript and HTML in text areas
- Spotfire Developer Tools
- Script trust
- TIBCO Enterprise Runtime for R and open source R
- Python in Spotfire
- Statistica and Spotfire
- Extending Spotfire
- The JavaScript API
- Spotfire Server APIs
- Summary
- Scaling the Infrastructure; Keeping Data up to Date
- Context-aware load management with scheduling and routing
- Some definitions
- Server topology
- Scaling the Spotfire Server using clustering
- Spotfire Sites
- Spotfire Web Player scaling
- Nodes services and resource pools
- Spotfire Web Player scalability – Scheduling & Routing
- Routing rules – definitions
- File
- Group
- User
- Routing rules – practical examples
- Scenario 1 – manufacturing sensor data analysis
- Scenario 2 – separating critical functions and everyday operations
- Verifying the example rules and schedules
- Checking the schedule
- Checking the routing rules for the scenarios
- Triggering an update from an external system
- Notes on scheduling and routing
- Summary
- Beyond the Horizon
- Natural language search
- Canvas styling and theming
- Exporting from Spotfire
- Visualization export
- Exporting data to a file or a library
- PDF export
- JavaScript visualizations
- Alerting in Spotfire
- TIBCO Data Virtualization
- TIBCO Data Science
- KNIME and Spotfire
- TIBCO StreamBase and Spotfire Data Streams
- TIBCO Spotfire Cloud Enterprise
- Summary
- Other Books You May Enjoy
- Leave a review - let other readers know what you think 更新時間：2021-06-24 15:05:31
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