IMS Catalog
The IMS Catalog is a single trusted data store for all IMS database-related metadata, simplifying management across large enterprise production and test environments. It provides a comprehensive view of IMS database metadata that is fully managed by IMS. By externalizing this metadata, IMS can participate in solutions that require the exchange of metadata, such as business impact analysis.
IBM Db2 11.5 External Tables to Db2 customers provides a powerful secure and high performing way to run SQL against NoSQL and SQL data external to the database and drastically improve data ingestion rates as well as unloading of data for single instance and MPP deployments. Increasing both performance , simplicity and efficiency of day to Day to day operations. It also opens up a wide array of scenarios for users. This Presentation takes you through the detail of the Db2 11.5 implementation.
These are the slides of my talk at PGConf India on 14, February 2019 at Marriot Whitefield, Bengaluru.
These slides will help you understand the various features and limitations of the declarative partitioning in PostgreSQL v10 and v11.
IBM Db2 11.5 External Tables to Db2 customers provides a powerful secure and high performing way to run SQL against NoSQL and SQL data external to the database and drastically improve data ingestion rates as well as unloading of data for single instance and MPP deployments. Increasing both performance , simplicity and efficiency of day to Day to day operations. It also opens up a wide array of scenarios for users. This Presentation takes you through the detail of the Db2 11.5 implementation.
These are the slides of my talk at PGConf India on 14, February 2019 at Marriot Whitefield, Bengaluru.
These slides will help you understand the various features and limitations of the declarative partitioning in PostgreSQL v10 and v11.
An index-organized table keeps its information categorized according to the primary key line principles for the table. An index-organized table shops its information as if the whole table was held in a catalog. Indices provide two main purposes:
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
An index-organized table keeps its information categorized according to the primary key line principles for the table. An index-organized table shops its information as if the whole table was held in a catalog. Indices provide two main purposes:
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
IMS Application Development and Simplification - Phoenix UG - June 19th, 2014Jeff Pearce
IMS Application Development and Simplification
Imagine being brand new to the mainframe and sitting down to write and test your first IMS application - ISPF, TSO, COBOL, ASCII/EBCDIC, dependent regions, deployment, message queues, etc. And somewhere in there you need to actually write a program. Learn how IBM's newest suite of Eclipse-based tools eliminates these environment barriers and give you the tools you need to be comfortable and productive on Day 1. We will present an integrated set of tools, with a common look and feel, that simplify the development life cycle of your IMS Application Program. We will demonstrate how the IMS Enterprise Suite Explorer, Rational Developer for z, IBM Debug Tool and the IMS Batch Terminal Simulator (BTS) are modernizing application development.
“Intelligent” extract of IMS data for Big Data, Business Analytics, and Unifi...Jeff Pearce
“Intelligent” extract of IMS data for Big Data, Business Analytics, and Unified Business Services
In this session we will review how information residing in IMS environments can be ‘intelligently’ accessed and exchanged with Big Data, Business Analytics, and other external business applications.
Direct Access to IMS Data - IMS Phoenix UG- June 19th 2014Jeff Pearce
Direct Access to IMS Data
We will look at the requirement for distributed applications to access IMS data directly via SQL and integration of IMS data with other types of data as part of the query result.
Ims11 ims13 application programming enhancements - IMS UG May 2014 Sydney & ...Robert Hain
IMS 13 extends the ability to access your IMS databases with SQL. In this session, I detail how to set up your environment for the IMS Catalog, and write COBOL applications accessing your IMS databases with SQL. Further, I will show how to use C# on the distributed platform to access your IMS databases.
Introducing Data Redaction - an enabler to data security in EDB Postgres Adva...EDB
With the rapid growth in digitalization, coupled with the current pandemic situation globally, many organizations and businesses are forced to operate remotely and online, more than they would prefer. At such times, how do corporations and businesses ensure data security, especially the secure management of personal information?
There are many techniques used to secure information, such as authentication, authorization, access control, virtual database, and encryption. In this webinar, we focus on Data Redaction - a technique that limits sensitive data exposure in EDB Postgres Advanced Server (EPAS).
This webinar covers:
- What is EDB Data Redaction
- How to limit sensitive data exposure in EPAS
- Provision for Oracle compatibility in EPAS
- Demo
Object relational database management systemSaibee Alam
this presentation provide a full explanation of object relational database management system. its a part of advanced database management system. important topic of computer science if you are UG/PG student or preparing for some competitive exam.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
33. IMS 13
07- IMS Application:
33
DataSetIMS Data Provider for Microsoft .NET
DataRelationCollection
SelectCommand
InsertCommand
UpdateCommand
DeleteCommand
IMSDataAdapter
IMS Connect
IMSCommand
SQL statement
IMSDataReader
DataRowCollection
DataColumnCollection
ConstraintCollection
DataTable
z/OS
ODBM
DRDA Target Server
IMSConnection
DRDA Client
IMS 13
Native SQL
Catalog
Metadata
ADO.NET Applications
IMS DB
IBM IMS Data Provider for Microsoft .NET Architecture
OM SCI
34. IMS 13
3407- IMS Application:
IMS 13 COBOL Native SQL
IMS Native SQL
DFSLI000
IMS DB
SQLTDLI
DLI
SQL
IMSSQLCA
EXEC SQLIMS
(CALL SQLTDLI
USING SQL-
PARMLIST)
:
:
Retrieve IMS database PCB
Schema metadata on first SQL
call
Parse and validate SQL
Build and make DLI call to
access IMS data
Perform aggregation on results
data (if needed)
Map results data back to the
application
IMS Catalog
Metadata
COBOL Application
IMSSQLCA + Data
IMS MPP,IFP,BMP
64-Bit Storage
35. IMS 13
07- IMS Application:
35
SQL Parsing in IMS
Solution IMS Java intends to use IMS 13 Native SQL
– IMS Service Process
Example with IMS SQL call handler
– How much money has my insurance company paid out in claims for the year
2011?
– SELECT SUM(CLAIMAMOUNT) FROM CLAIMS WHERE YEAR=2011
IMS DB
z/OSClient Application
IMS
JDBC
Driver
SQL Call
Claims
$2432
$41
…
$6255+ ________
$797439097
Claims
$2432
$41
…
$6255
IMS 13
Native SQL
$797439097
Total Claims
$797439097
37. 37
37
IMS Integration with QMF
IMS Open Database:
•IMS allows distributed access over TCP/IP using the IMS Universal Database Driver
(JDBC)
•IMS Connect and Open Database Manager now work together as a DRDA server for
IMS data
Workstation
Windows, Linux, and the Mac
z/OS
QMF
IMS
Universal
Database
Driver
T
C
P
I
P
T
C
P
I
P
IMS Connect
S
C
I
ODBM
S
C
I
D
R
A
CTL IMS
DB
DL/I
PC
IMS
DRDA
TCPIP
IMS 12 Catalog
MetadataIMS 11 Local file Metadata
jdbc:ims://host:port/class:
//dfsivp37.DFSIVP37DatabaseView:
dbViewLocation=C:/share/IMS Universal Drivers Metadata;fetchSize=0;
jdbc:ims://host:port/DFSCP000:dpsbOnCommit=true
38. 38
DataPower to IMS DB
DataPower
IMS
JDBC
Driver
Routing/
data
transformation
SQL
sends /
receives
DRDA
sends /
receives
IMS DB
ODBM
IMS
Connect
IMS
Catalog
IMS DB
IMS
Catalog
DRDA
DLI
Back
End
services