NetVisn clearly identifies which objects will be impacted due to a database table/column changes and it does this across your entire Cognos environment. Impact can be viewed at a summary and detail level at the same time.
DataSplice provides software to optimize the palletization and disposition of removed assets using barcode scanning. The software allows assets to be scanned and automatically sorted onto pallets based on classification specifications, reducing multiple handling. Previously, assets would be manually sorted multiple times based on manufacturer, warranty status, and installation status. DataSplice streamlines the process by scanning assets once and using logic to determine the correct pallet based on the asset details.
This document summarizes different ways to organize data in Matlab, including cell arrays, function handles, and structures.
Cell arrays allow different data types to be stored in containers called cells. Function handles pass functions as inputs to other functions. Structures store selected data together in fields, where each field contains an array of a Matlab data type.
How to Use Basic Search in the SAO/NASA Astrophysics Data System Abstract Ser...Kayleigh Ayn Bohémier
The document introduces the SAO/NASA Astrophysics Data System Abstract Service, which provides a searchable database of astronomy and astrophysics literature dating back to 1975. It allows users to search over weekly updated abstracts and determine full-text article availability to support students and professionals. The system employs Boolean search operators to precisely locate relevant articles while excluding unwanted results.
Tool connectors in Warewolf are used to perform common tasks or data manipulation inside your service or microservice.
You do not need to go out of Warewolf and call a data connector to perform the task for you.
This document discusses key concepts related to data including:
1) Data sources can include databases, datasets, spreadsheets or hardcoded data.
2) A data lake stores all enterprise data in a single repository.
3) A data pipeline is a series of connected data processing elements used to move data between stores.
4) A data store connects to stored data whether in databases or files.
A student named Shashi Kumar Suman with roll number 16072 from section A gave a presentation on functional dependency in databases. The presentation covered the topic of functional dependency, which is a key concept in database design and normalization. It explained how functional dependencies constrain how values in one set of columns in a table determine values in another set of columns in that same table.
Functional dependencies play a key role in database design and normalization. A functional dependency (FD) is a constraint that one attribute determines another. FDs have various definitions but generally mean that given the value of one attribute (left side), the value of another attribute (right side) is determined. Armstrong's axioms are used to derive implied FDs from a set of FDs. The closure of an attribute set or set of FDs finds all attributes/FDs logically implied. Normalization aims to eliminate anomalies and is assessed using normal forms like 1NF, 2NF, 3NF, BCNF which impose additional constraints on table designs.
The document discusses different normal forms for organizing data in a database, including 1NF, 2NF, 3NF, and BCNF. 1NF requires attributes to be atomic and no repeating groups. 2NF removes partial dependencies by requiring non-prime attributes to depend on the whole primary key. 3NF removes non-key attributes that are not dependent on the primary key. BCNF is stronger than 3NF and requires all determinants to be candidate keys. Examples are provided to illustrate how relations can be decomposed to satisfy 3NF and BCNF.
Normalization is the process of organizing data in a database. This includes creating tables and establishing relationships between those tables according to rules designed both to protect the data and to make the database more flexible by eliminating redundancy and inconsistent dependency.
Functional dependencies and normalization for relational databasesJafar Nesargi
This document discusses guidelines for designing relational databases. It covers four informal measures of quality: semantics of attributes, reducing redundancy, reducing null values, and avoiding spurious tuples. The guidelines are: 1) design relations so their meaning is clear, 2) avoid anomalies like insertion, deletion and modification anomalies, 3) minimize null values in attributes, and 4) design relations to join without generating spurious tuples. The document uses examples to illustrate these concepts and their importance for database design.
The document defines functional dependencies and describes how they constrain relationships between attributes in a database relation. A functional dependency X → Y means the Y attribute is functionally determined by the X attribute(s). The closure of a set of functional dependencies includes all dependencies that can be logically derived. Normalization aims to eliminate anomalies by decomposing relations based on their functional dependencies until a desired normal form is reached.
B-Trees are tree data structures used to store data on disk storage. They allow for efficient retrieval of data compared to binary trees when using disk storage due to reduced height. B-Trees group data into nodes that can have multiple children, reducing the height needed compared to binary trees. Keys are inserted by adding to leaf nodes or splitting nodes and promoting middle keys. Deletion involves removing from leaf nodes, borrowing/promoting keys, or joining nodes.
NetVisn provides a one-stop view into the entire Cognos 10/8 security domain along with the ability to change security settings quickly and easily. Validating that your security is correctly applied across your entire environment is a simple task.
When NetVisn is installed, it automatically documents the entire Cognos Content Store, including all objects, properties, parameters, security settings, groups, roles, and accounts. The documentation mirrors Cognos Connection and provides hyperlinks to allow for fast drill-down and navigation of the fully documented Content Store.
This document discusses object dependency analysis performed on a Content Store. The analysis identifies all dependencies between objects, shows which objects will no longer function properly due to missing dependencies, and provides details on specific folders and objects with dependency issues. Administrators are advised to run this analysis daily to proactively manage objects with missing dependencies.
Model package dependency - reviewed 08-06-14Envisn
This document discusses dependencies for a package and model item. It lists the BI Reporting package as dependent on by other objects and identifies Quantity as a model item used by other listed objects.
This document discusses license management in 3 sections: the first shows assigned licenses by studio and permissions for each account; the second shows the same data but organized by account and group along with permissions; the third covers all Cognos capabilities and license categories and allows the user to select specific capabilities and an output format.
Documentation slides model - reviewed 08-06-14Envisn
The BI Reporting Model provides a summary of its content through a namespace matrix and allows for fast navigation between documented sections via hyperlinks. It also details the model's data security, object security, joins between tables, and database usage by table and column with references. Finally, it defines the data source details and attributes.
Presentation at IBM IOD 2011 by Larry Bob, BI Architect at The Boeing Company about what a skilled Framework Manager modeler can do in a large environment to advance both simplicity and excellence at the same time.
PSUG 7 - 2025-06-03 - David Bianco on Splunk SURGeTomas Moser
Meet David Bianco, Staff Strategist with Splunk’s elite SURGe team, live in Prague. Get ready for an engaging deep dive into the cutting edge of cybersecurity—straight from the experts driving Splunk’s global security research.
apidays New York 2025 - Computers are still dumb by Ben Morss (DeepL)apidays
Computers are still dumb: bringing your AI magic to enterprises
Ben Morss, Developer Evangelist at DeepL
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Tableau Cloud - what to consider before making the move update 2025.pdfelinavihriala
Thinking of moving your data infrastructure to the cloud? This presentation will break down the critical things to consider—performance, security, scalability, and those "gotchas" nobody talks about. Think of this as your roadmap to a successful (and smooth!) migration.
apidays New York 2025 - Why an SDK is Needed to Protect APIs from Mobile Apps...apidays
Why an SDK is Needed to Protect APIs from Mobile Apps
Pearce Erensel, Global VP of Sales at Approov Mobile Security
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Functional dependencies play a key role in database design and normalization. A functional dependency (FD) is a constraint that one attribute determines another. FDs have various definitions but generally mean that given the value of one attribute (left side), the value of another attribute (right side) is determined. Armstrong's axioms are used to derive implied FDs from a set of FDs. The closure of an attribute set or set of FDs finds all attributes/FDs logically implied. Normalization aims to eliminate anomalies and is assessed using normal forms like 1NF, 2NF, 3NF, BCNF which impose additional constraints on table designs.
The document discusses different normal forms for organizing data in a database, including 1NF, 2NF, 3NF, and BCNF. 1NF requires attributes to be atomic and no repeating groups. 2NF removes partial dependencies by requiring non-prime attributes to depend on the whole primary key. 3NF removes non-key attributes that are not dependent on the primary key. BCNF is stronger than 3NF and requires all determinants to be candidate keys. Examples are provided to illustrate how relations can be decomposed to satisfy 3NF and BCNF.
Normalization is the process of organizing data in a database. This includes creating tables and establishing relationships between those tables according to rules designed both to protect the data and to make the database more flexible by eliminating redundancy and inconsistent dependency.
Functional dependencies and normalization for relational databasesJafar Nesargi
This document discusses guidelines for designing relational databases. It covers four informal measures of quality: semantics of attributes, reducing redundancy, reducing null values, and avoiding spurious tuples. The guidelines are: 1) design relations so their meaning is clear, 2) avoid anomalies like insertion, deletion and modification anomalies, 3) minimize null values in attributes, and 4) design relations to join without generating spurious tuples. The document uses examples to illustrate these concepts and their importance for database design.
The document defines functional dependencies and describes how they constrain relationships between attributes in a database relation. A functional dependency X → Y means the Y attribute is functionally determined by the X attribute(s). The closure of a set of functional dependencies includes all dependencies that can be logically derived. Normalization aims to eliminate anomalies by decomposing relations based on their functional dependencies until a desired normal form is reached.
B-Trees are tree data structures used to store data on disk storage. They allow for efficient retrieval of data compared to binary trees when using disk storage due to reduced height. B-Trees group data into nodes that can have multiple children, reducing the height needed compared to binary trees. Keys are inserted by adding to leaf nodes or splitting nodes and promoting middle keys. Deletion involves removing from leaf nodes, borrowing/promoting keys, or joining nodes.
NetVisn provides a one-stop view into the entire Cognos 10/8 security domain along with the ability to change security settings quickly and easily. Validating that your security is correctly applied across your entire environment is a simple task.
When NetVisn is installed, it automatically documents the entire Cognos Content Store, including all objects, properties, parameters, security settings, groups, roles, and accounts. The documentation mirrors Cognos Connection and provides hyperlinks to allow for fast drill-down and navigation of the fully documented Content Store.
This document discusses object dependency analysis performed on a Content Store. The analysis identifies all dependencies between objects, shows which objects will no longer function properly due to missing dependencies, and provides details on specific folders and objects with dependency issues. Administrators are advised to run this analysis daily to proactively manage objects with missing dependencies.
Model package dependency - reviewed 08-06-14Envisn
This document discusses dependencies for a package and model item. It lists the BI Reporting package as dependent on by other objects and identifies Quantity as a model item used by other listed objects.
This document discusses license management in 3 sections: the first shows assigned licenses by studio and permissions for each account; the second shows the same data but organized by account and group along with permissions; the third covers all Cognos capabilities and license categories and allows the user to select specific capabilities and an output format.
Documentation slides model - reviewed 08-06-14Envisn
The BI Reporting Model provides a summary of its content through a namespace matrix and allows for fast navigation between documented sections via hyperlinks. It also details the model's data security, object security, joins between tables, and database usage by table and column with references. Finally, it defines the data source details and attributes.
Presentation at IBM IOD 2011 by Larry Bob, BI Architect at The Boeing Company about what a skilled Framework Manager modeler can do in a large environment to advance both simplicity and excellence at the same time.
PSUG 7 - 2025-06-03 - David Bianco on Splunk SURGeTomas Moser
Meet David Bianco, Staff Strategist with Splunk’s elite SURGe team, live in Prague. Get ready for an engaging deep dive into the cutting edge of cybersecurity—straight from the experts driving Splunk’s global security research.
apidays New York 2025 - Computers are still dumb by Ben Morss (DeepL)apidays
Computers are still dumb: bringing your AI magic to enterprises
Ben Morss, Developer Evangelist at DeepL
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Tableau Cloud - what to consider before making the move update 2025.pdfelinavihriala
Thinking of moving your data infrastructure to the cloud? This presentation will break down the critical things to consider—performance, security, scalability, and those "gotchas" nobody talks about. Think of this as your roadmap to a successful (and smooth!) migration.
apidays New York 2025 - Why an SDK is Needed to Protect APIs from Mobile Apps...apidays
Why an SDK is Needed to Protect APIs from Mobile Apps
Pearce Erensel, Global VP of Sales at Approov Mobile Security
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
apidays New York 2025 - Two tales of API Change Management by Eric Koleda (Coda)apidays
Two tales of API Change Management from my time at Google
Eric Koleda, Developer Advocate at Coda
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
apidays New York 2025 - Open Source and disrupting the travel distribution ec...apidays
Open Source and disrupting the travel distribution ecosystem
Stu Waldron, Advisor & Acting Director at OpenTravel
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
"Machine Learning in Agriculture: 12 Production-Grade Models", Danil PolyakovFwdays
Kernel is currently the leading producer of sunflower oil and one of the largest agroholdings in Ukraine. What business challenges are they addressing, and why is ML a must-have? This talk explores the development of the data science team at Kernel—from early experiments in Google Colab to building minimal in-house infrastructure and eventually scaling up through an infrastructure partnership with De Novo. The session will highlight their work on crop yield forecasting, the positive results from testing on H100, and how the speed gains enabled the team to solve more business tasks.
THE FRIEDMAN TEST ( Biostatics B. Pharm)JishuHaldar
The Friedman Test is a valuable non-parametric alternative to the
Repeated Measures ANOVA, allowing for the comparison of three or
more related groups when data is ordinal or not normally distributed.
By ranking data instead of using raw values, the test overcomes the
limitations of parametric tests, making it ideal for small sample sizes and
real-world applications in medicine, psychology, pharmaceutical
sciences, and education. However, while it effectively detects differences
among groups, it does not indicate which specific groups differ, requiring
further post-hoc analysis.
apidays New York 2025 - The FINOS Common Domain Model for Capital Markets by ...apidays
The FINOS Common Domain Model for Capital Markets
Tom Healey, Founder & Director at FINXIS LLC
Daniel Schwartz, Managing Partner at FT Advisory LLC
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
How to Choose the Right Online Proofing Softwareskalatskayaek
This concise guide walks you through the essential factors to evaluate when selecting an online proofing solution. Learn how to compare collaboration features, file-format support, review workflows, integrations, security, and pricing—helping you choose the right proofing software that streamlines feedback, accelerates approvals, and keeps your creative projects on track. Visit cwaysoftware.com for more information and to explore Cway Software’s proofing tools.
apidays New York 2025 - CIAM in the wild by Michael Gruen (Layr)apidays
CIAM in the wild: What we learned while scaling from 1.5 to 3 million users
Michael Gruen, VP of Engineering at Layr
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
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apidays New York 2025 - Building Scalable AI Systems by Sai Prasad Veluru (Ap...apidays
Building Scalable AI Systems: Cloud Architecture for Performance
Sai Prasad Veluru, Software Engineer at Apple Inc
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
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3. Database Dependency
Analysis can be refined to identify
table and column items and where
they are used.
This example shows those objects
Using Northwind table Order Details.
Database: Northwind
Column: Order Details