This document summarizes the requirements, installation, and new features of Oracle Data Integrator 12c. It outlines that ODI 12c requires Java 7 and Oracle 11g or 12c databases. It also lists several new features including declarative flow-based design, reusable mappings, a step-by-step debugger, knowledge module architecture, and enhanced parallelism capabilities. The document provides high-level information about installing ODI 12c and introduces several new features but does not go into detail about any single topic.
Delivering Insights from 20M+ Smart Homes with 500M+ DevicesDatabricks
We started out processing big data using AWS S3, EMR clusters, and Athena to serve Analytics data extracts to Tableau BI.
However as our data and teams sizes increased, Avro schemas from source data evolved, and we attempted to serve analytics data through Web apps, we hit a number of limitations in the AWS EMR, Glue/Athena approach.
This is a story of how we scaled out our data processing and boosted team productivity to meet our current demand for insights from 20M+ Smart Homes and 500M+ devices across the globe, from numerous internal business teams and our 150+ CSP partners.
We will describe lessons learnt and best practices established as we enabled our teams with DataBricks autoscaling Job clusters and Notebooks and migrated our Avro/Parquet data to use MetaStore, SQL Endpoints and SQLA Console, while charting the path to the Delta lake…
Using Apache Spark for Predicting Degrading and Failing Parts in AviationDatabricks
Throughout naval aviation, data lakes provide the raw material for generating insights into predictive maintenance and increasing readiness across many platforms. Successfully leveraging these data lakes can be technically challenging.
New Approaches to Migrating from Oracle to Enterprise-Ready Postgres in the C...EDB
Join Marc Linster to learn how to build Oracle-compatible Postgres databases in the AWS cloud in minutes. Marc will cover:
- Getting started
- Migration strategies
- How to pick the migration targets
- Provisioning, scaling, and managing Postgres
- Creating highly available clusters with EDB's Cloud Database Service (CDS)
- A live migration of an Oracle database with schema, data and stored procedures to EDB Postgres
Delivering Insights from 20M+ Smart Homes with 500M+ DevicesDatabricks
We started out processing big data using AWS S3, EMR clusters, and Athena to serve Analytics data extracts to Tableau BI.
However as our data and teams sizes increased, Avro schemas from source data evolved, and we attempted to serve analytics data through Web apps, we hit a number of limitations in the AWS EMR, Glue/Athena approach.
This is a story of how we scaled out our data processing and boosted team productivity to meet our current demand for insights from 20M+ Smart Homes and 500M+ devices across the globe, from numerous internal business teams and our 150+ CSP partners.
We will describe lessons learnt and best practices established as we enabled our teams with DataBricks autoscaling Job clusters and Notebooks and migrated our Avro/Parquet data to use MetaStore, SQL Endpoints and SQLA Console, while charting the path to the Delta lake…
Using Apache Spark for Predicting Degrading and Failing Parts in AviationDatabricks
Throughout naval aviation, data lakes provide the raw material for generating insights into predictive maintenance and increasing readiness across many platforms. Successfully leveraging these data lakes can be technically challenging.
New Approaches to Migrating from Oracle to Enterprise-Ready Postgres in the C...EDB
Join Marc Linster to learn how to build Oracle-compatible Postgres databases in the AWS cloud in minutes. Marc will cover:
- Getting started
- Migration strategies
- How to pick the migration targets
- Provisioning, scaling, and managing Postgres
- Creating highly available clusters with EDB's Cloud Database Service (CDS)
- A live migration of an Oracle database with schema, data and stored procedures to EDB Postgres
No Time to Waste: Migrate from Oracle to Postgres in MinutesEDB
Need to break free from Oracle? An open source-based DBMS like Postgres is the answer. So, what is stopping you? Discover how to migrate from Oracle to Postgres, quickly and without risk. This talk will explain how to leverage tools and technologies to convert your Oracle database to EDB Postgres with ease and offer helpful best practices, including: What challenges to look for, like complex schemas, database stored procedures and more, where to start, like self-contained databases that help free up Oracle licenses, and, when to deploy your workload on-premises or in the cloud
This webinar will give an overview of the typical use of EDB Postgres Advanced Server and EDB tools for a smart city project, developed in a city with more than 2.2 million people. The main goal of this project is to achieve a 24/7 uninterrupted service with zero data loss and without any service interruption.
During the session, we will explore the project architecture and we will discuss what specific tools were used, and how these tools help manage DBAs’ daily tasks. We will also discuss what type of data is critical for a smart city project.
Oracle Data Integrator (ODI) Online Training is providing at Glory IT Technologies. You will learn how to create the ODI topology, design ODI interfaces, packages, procedures and organize ODI models & other objects. Every student will learn how to use manage projects in ODI to develop interfaces and objects. Our ODI Training takes student through some of the more advanced features is used of Oracle Data Integrator.
Northwestern Mutual Journey – Transform BI Space to CloudDatabricks
The volume of available data is growing by the second (to an estimated 175 zetabytes by 2025), and it is becoming increasingly granular in its information. With that change every organization is moving towards building a data driven culture. We at Northwestern Mutual share similar story of driving towards making data driven decisions to improve both efficiency and effectiveness. Legacy system analysis revealed bottlenecks, excesses, duplications etc. Based on ever growing need to analyze more data our BI Team decided to make a move to more modern, scalable, cost effective data platform. As a financial company, data security is as important as ingestion of data. In addition to fast ingestion and compute we would need a solution that can support column level encryption, Role based access to different teams from our datalake.
In this talk we describe our journey to move 100’s of ELT jobs from current MSBI stack to Databricks and building a datalake (using Lakehouse). How we reduced our daily data load time from 7 hours to 2 hours with capability to ingest more data. Share our experience, challenges, learning, architecture and design patterns used while undertaking this huge migration effort. Different sets of tools/frameworks built by our engineers to help ease the learning curve that our non-Apache Spark engineers would have to go through during this migration. You will leave this session with more understand on what it would mean for you and your organization if you are thinking about migrating to Apache Spark/Databricks.
Postgres Integrates Effectively in the "Enterprise Sandbox"EDB
This presentation provides guidance through these challenges and provide solutions that allow you to:
- Connect to multiple sources of data to support your growing business
- Integrate with existing incumbent systems that power your business
- Share siloed data among your technical teams to address strategic objectives
- Learn how customers integrated EDB Postgres within their corporate ecosystems that included Oracle, SQL Server, MongoDB, Hadoop, MySQL and Tuxedo
This presentation covers the solutions, services, and best practice recommendations you need to be a leader in today’s complex digital environment.
Target Audience: The content will interest both business and technical decision-makers or influencers responsible for the overall strategy and execution of a PostgreSQL and/or an EDB Postgres database.
An Expert Guide to Migrating Legacy Databases to PostgreSQLEDB
his webinar will review the challenges teams face when migrating from Oracle databases to PostgreSQL. We will share insights gained from running large scale Oracle compatibility assessments over the last two years, including the over 2,200,000 Oracle DDL constructs that were assessed through EDB’s Migration Portal in 2020.
During this session we will address:
Storage definitions
Packages
Stored procedures
PL/SQL code
Proprietary database APIs
Large scale data migrations
We will end the session demonstrating migration tools that significantly simplify and aid in reducing the risk of migrating Oracle databases to PostgreSQL.
The Need For Speed - Strategies to Modernize Your Data CenterEDB
Join Postgres expert, Marc Linster and Nutanix Product Manager, Jeremy Launier as they share strategies for creating agility in the enterprise, explain how to avoid the complexity and cost of legacy IT, and discuss the benefits leveraging the cloud.
Highlights include:
- How to increase database flexibility and why it matters
- How to leverage the private cloud effectively
- How to maximize the benefit of on premises DBaaS (Database as a Service)
This webinar is a joint session between EnterpriseDB and Nutanix, two companies recognized in the Gartner Magic Quadrant for operational database management systems and hyperconverged infrastructure.
Automating Data Quality Processes at ReckittDatabricks
Reckitt is a fast-moving consumer goods company with a portfolio of famous brands and over 30k employees worldwide. With that scale small projects can quickly grow into big datasets, and processing and cleaning all that data can become a challenge. To solve that challenge we have created a metadata driven ETL framework for orchestrating data transformations through parametrised SQL scripts. It allows us to create various paths for our data as well as easily version control them. The approach of standardising incoming datasets and creating reusable SQL processes has proven to be a winning formula. It has helped simplify complicated landing/stage/merge processes and allowed them to be self-documenting.
But this is only half the battle, we also want to create data products. Documented, quality assured data sets that are intuitive to use. As we move to a CI/CD approach, increasing the frequency of deployments, the demand of keeping documentation and data quality assessments up to date becomes increasingly challenging. To solve this problem, we have expanded our ETL framework to include SQL processes that automate data quality activities. Using the Hive metastore as a starting point, we have leveraged this framework to automate the maintenance of a data dictionary and reduce documenting, model refinement, testing data quality and filtering out bad data to a box filling exercise. In this talk we discuss our approach to maintaining high quality data products and share examples of how we automate data quality processes.
Best practices: running high-performance databases on KubernetesMariaDB plc
Databases benefit greatly from containerization in terms of performance, ease-of-deployment, and scalability. However, building a database-as-a-service (DBaaS) on Kubernetes without the right infrastructure can be a complex, time-consuming project where some database services have to be run outside of the cluster for the sake of leveraging persistent storage. This session offers up a global financial institution’s real-world account of how bare metal Kubernetes infrastructure can further enhance the performance of MariaDB’s innovative, load-balanced database services – and how the requisite persistent storage can be best provisioned, managed and backed up without service interruption or creating an additional burden for application owners and developers.
Join Postgres experts Bruce Momjian and Marc Linster as they preview everything new in Postgres 12. You don’t want to miss this!
Highlights include:
- New compatibility features
- PostgreSQL: Table access methods
- Partitioning Improvements
Conquering Data Migration from Oracle to PostgresEDB
Once you have converted Oracle object definitions and stored procedures, moving the data is the next key stage.
There are three approaches for migrating data: Big-bang, Trickle, and Synchronize. While most migrations can be done using any one of these approaches, some migrations will require a combination of them.
In this webinar, we will cover the below approaches to migrating data from Oracle to Postgres:
Big bang - One-time data load
Trickle - One-time data load in parallel
Synchronize - Sync data between Oracle and Postgres using replication
Postgres expert Saurabh Shelar goes through the features and a live demo of EDB Postgres Failover Manager (EFM). You don’t want to miss this!
EDB Postgres Failover Manager (EFM) is a high-availability module from EnterpriseDB that enables a Postgres Master node to automatically failover to a Standby node in the event of a software or hardware failure on the Master.
Saurabh will cover key features of EDB Postgres Failover Manager and Demo Failover scenarios.
Highlights Include:
- Tuneable Properties for User Environment
- Supported Failover Scenarios
- A step by step demo
Learn what's new in EDB Postgres 11. This update includes a refreshed version of EDB Postgres Advanced Server, which is built on and enhances the capabilities of open source PostgreSQL 11 with new data redaction capabilities, autonomous transaction commands, and performance diagnostics.
Webinar agenda:
- An intro to EDB Postgres, including BART, EFM, and containers
- What's new with EDB Postgres 11
- Brief overview and demo of PEM 7
Don’t miss this opportunity to hear from some of the top Postgres contributors!
Care Risk Solutions, based in Mumbai, India, provides software solutions for Banking, Financial Services, and Insurance (BFSI) sectors. Care Risk carries a suite of solutions primarily to support companies in the financial risk domain. This includes its Enterprise Risk Management suite (ERM), Asset Liability Management (ALM), Fund Transfer Pricing (FTP), International Financial Reporting Standards (IFRS), Financial Reporting Applications, Lending suite, and Early Warning systems.
To ensure support for its wide range of products, Care Risk Solutions chose to migrate from its legacy databases to EDB Postgres. The switch enabled Care Risk to widen their product availability on multiple databases as well as the ability to track large contracts across many years. Care Risk also benefited from the services support from Chemtrols Infotech, including SLA maintenance with end customers.
In this presentation, a Care Risk representative explains their migration journey from legacy database systems to EDB Postgres, the challenges faced, benefits of migrating to EDB Postgres, and much more.
Monitoring is a critical element of the database ecosystem and for overall performance of the database. It also helps ensure that your database is in a healthy state and contributing to the long term stability of your database and application.
Monitoring becomes tricky without knowing what to monitor and how to monitor those variables.
What you will learn in this webinar:
1. Why is it essential to monitor Postgres?
2. The proactive and reactive monitoring approaches and how they help handle future problems
3. The top 10 monitoring checklist
4. When not to monitor
5. A deeper dive into open source tools for monitoring with Prometheus and Grafana
PostgreSQL is versatile and used for a wide range of applications and use cases in the enterprise. It is more than just database technology, it is an accelerator for innovation. Much innovation today is happening in new application development, application modernization, and re-platforming to the cloud across the information architecture landscape. In this webinar, you will learn how EDB supercharges PostgreSQL to re-platform to cloud and containers more efficiently and develop new applications that are more scalable and secure.
Virgin Hyperloop One is the leader in realizing a Hyperloop mass transportation system (VHOMTS), which will bring the cities and people closer together than ever before while reducing pollution, emission of greenhouse gases, transit times, etc. To build a safe and user friendly Hyperloop, we need to answer key technical and business questions, including: – ‘What is the safe maximum speed the hyperloop can go?’ – ‘How many pods (the vehicles that carry people) do we need to fulfill a given demand?’
Oracle Warehouse Builder to Oracle Data Integrator 12c Migration UtilityNoel Sidebotham
As Oracle Warehouse builder nears the end of extended support; customers need to consider their migration options.
In this webex we'll be discussing this topic and aim to answer questions like Which tool should I use for new projects? What should be done with existing implementations? And why should I migrate to ODI?
In this session You will learn about –
• Oracle Data Integrator 12c, concepts and features
• The OWB2ODI migration utility
• How to successfully migrate OWB projects to ODI
• You will hear about customer success stories
• New features of ODI 12c that are getting ETL developers excited including Big Data and Hybrid Cloud support.
This training is intended to support Knowage beginners and guide them though the first essential steps required to take the most out of Knowage experience.
In the first session:
- Knowage installation tutorial
- Knowage overview
- Datasource connection and dataset creation.
In the second session:
- Cockpit creation step by step.
No Time to Waste: Migrate from Oracle to Postgres in MinutesEDB
Need to break free from Oracle? An open source-based DBMS like Postgres is the answer. So, what is stopping you? Discover how to migrate from Oracle to Postgres, quickly and without risk. This talk will explain how to leverage tools and technologies to convert your Oracle database to EDB Postgres with ease and offer helpful best practices, including: What challenges to look for, like complex schemas, database stored procedures and more, where to start, like self-contained databases that help free up Oracle licenses, and, when to deploy your workload on-premises or in the cloud
This webinar will give an overview of the typical use of EDB Postgres Advanced Server and EDB tools for a smart city project, developed in a city with more than 2.2 million people. The main goal of this project is to achieve a 24/7 uninterrupted service with zero data loss and without any service interruption.
During the session, we will explore the project architecture and we will discuss what specific tools were used, and how these tools help manage DBAs’ daily tasks. We will also discuss what type of data is critical for a smart city project.
Oracle Data Integrator (ODI) Online Training is providing at Glory IT Technologies. You will learn how to create the ODI topology, design ODI interfaces, packages, procedures and organize ODI models & other objects. Every student will learn how to use manage projects in ODI to develop interfaces and objects. Our ODI Training takes student through some of the more advanced features is used of Oracle Data Integrator.
Northwestern Mutual Journey – Transform BI Space to CloudDatabricks
The volume of available data is growing by the second (to an estimated 175 zetabytes by 2025), and it is becoming increasingly granular in its information. With that change every organization is moving towards building a data driven culture. We at Northwestern Mutual share similar story of driving towards making data driven decisions to improve both efficiency and effectiveness. Legacy system analysis revealed bottlenecks, excesses, duplications etc. Based on ever growing need to analyze more data our BI Team decided to make a move to more modern, scalable, cost effective data platform. As a financial company, data security is as important as ingestion of data. In addition to fast ingestion and compute we would need a solution that can support column level encryption, Role based access to different teams from our datalake.
In this talk we describe our journey to move 100’s of ELT jobs from current MSBI stack to Databricks and building a datalake (using Lakehouse). How we reduced our daily data load time from 7 hours to 2 hours with capability to ingest more data. Share our experience, challenges, learning, architecture and design patterns used while undertaking this huge migration effort. Different sets of tools/frameworks built by our engineers to help ease the learning curve that our non-Apache Spark engineers would have to go through during this migration. You will leave this session with more understand on what it would mean for you and your organization if you are thinking about migrating to Apache Spark/Databricks.
Postgres Integrates Effectively in the "Enterprise Sandbox"EDB
This presentation provides guidance through these challenges and provide solutions that allow you to:
- Connect to multiple sources of data to support your growing business
- Integrate with existing incumbent systems that power your business
- Share siloed data among your technical teams to address strategic objectives
- Learn how customers integrated EDB Postgres within their corporate ecosystems that included Oracle, SQL Server, MongoDB, Hadoop, MySQL and Tuxedo
This presentation covers the solutions, services, and best practice recommendations you need to be a leader in today’s complex digital environment.
Target Audience: The content will interest both business and technical decision-makers or influencers responsible for the overall strategy and execution of a PostgreSQL and/or an EDB Postgres database.
An Expert Guide to Migrating Legacy Databases to PostgreSQLEDB
his webinar will review the challenges teams face when migrating from Oracle databases to PostgreSQL. We will share insights gained from running large scale Oracle compatibility assessments over the last two years, including the over 2,200,000 Oracle DDL constructs that were assessed through EDB’s Migration Portal in 2020.
During this session we will address:
Storage definitions
Packages
Stored procedures
PL/SQL code
Proprietary database APIs
Large scale data migrations
We will end the session demonstrating migration tools that significantly simplify and aid in reducing the risk of migrating Oracle databases to PostgreSQL.
The Need For Speed - Strategies to Modernize Your Data CenterEDB
Join Postgres expert, Marc Linster and Nutanix Product Manager, Jeremy Launier as they share strategies for creating agility in the enterprise, explain how to avoid the complexity and cost of legacy IT, and discuss the benefits leveraging the cloud.
Highlights include:
- How to increase database flexibility and why it matters
- How to leverage the private cloud effectively
- How to maximize the benefit of on premises DBaaS (Database as a Service)
This webinar is a joint session between EnterpriseDB and Nutanix, two companies recognized in the Gartner Magic Quadrant for operational database management systems and hyperconverged infrastructure.
Automating Data Quality Processes at ReckittDatabricks
Reckitt is a fast-moving consumer goods company with a portfolio of famous brands and over 30k employees worldwide. With that scale small projects can quickly grow into big datasets, and processing and cleaning all that data can become a challenge. To solve that challenge we have created a metadata driven ETL framework for orchestrating data transformations through parametrised SQL scripts. It allows us to create various paths for our data as well as easily version control them. The approach of standardising incoming datasets and creating reusable SQL processes has proven to be a winning formula. It has helped simplify complicated landing/stage/merge processes and allowed them to be self-documenting.
But this is only half the battle, we also want to create data products. Documented, quality assured data sets that are intuitive to use. As we move to a CI/CD approach, increasing the frequency of deployments, the demand of keeping documentation and data quality assessments up to date becomes increasingly challenging. To solve this problem, we have expanded our ETL framework to include SQL processes that automate data quality activities. Using the Hive metastore as a starting point, we have leveraged this framework to automate the maintenance of a data dictionary and reduce documenting, model refinement, testing data quality and filtering out bad data to a box filling exercise. In this talk we discuss our approach to maintaining high quality data products and share examples of how we automate data quality processes.
Best practices: running high-performance databases on KubernetesMariaDB plc
Databases benefit greatly from containerization in terms of performance, ease-of-deployment, and scalability. However, building a database-as-a-service (DBaaS) on Kubernetes without the right infrastructure can be a complex, time-consuming project where some database services have to be run outside of the cluster for the sake of leveraging persistent storage. This session offers up a global financial institution’s real-world account of how bare metal Kubernetes infrastructure can further enhance the performance of MariaDB’s innovative, load-balanced database services – and how the requisite persistent storage can be best provisioned, managed and backed up without service interruption or creating an additional burden for application owners and developers.
Join Postgres experts Bruce Momjian and Marc Linster as they preview everything new in Postgres 12. You don’t want to miss this!
Highlights include:
- New compatibility features
- PostgreSQL: Table access methods
- Partitioning Improvements
Conquering Data Migration from Oracle to PostgresEDB
Once you have converted Oracle object definitions and stored procedures, moving the data is the next key stage.
There are three approaches for migrating data: Big-bang, Trickle, and Synchronize. While most migrations can be done using any one of these approaches, some migrations will require a combination of them.
In this webinar, we will cover the below approaches to migrating data from Oracle to Postgres:
Big bang - One-time data load
Trickle - One-time data load in parallel
Synchronize - Sync data between Oracle and Postgres using replication
Postgres expert Saurabh Shelar goes through the features and a live demo of EDB Postgres Failover Manager (EFM). You don’t want to miss this!
EDB Postgres Failover Manager (EFM) is a high-availability module from EnterpriseDB that enables a Postgres Master node to automatically failover to a Standby node in the event of a software or hardware failure on the Master.
Saurabh will cover key features of EDB Postgres Failover Manager and Demo Failover scenarios.
Highlights Include:
- Tuneable Properties for User Environment
- Supported Failover Scenarios
- A step by step demo
Learn what's new in EDB Postgres 11. This update includes a refreshed version of EDB Postgres Advanced Server, which is built on and enhances the capabilities of open source PostgreSQL 11 with new data redaction capabilities, autonomous transaction commands, and performance diagnostics.
Webinar agenda:
- An intro to EDB Postgres, including BART, EFM, and containers
- What's new with EDB Postgres 11
- Brief overview and demo of PEM 7
Don’t miss this opportunity to hear from some of the top Postgres contributors!
Care Risk Solutions, based in Mumbai, India, provides software solutions for Banking, Financial Services, and Insurance (BFSI) sectors. Care Risk carries a suite of solutions primarily to support companies in the financial risk domain. This includes its Enterprise Risk Management suite (ERM), Asset Liability Management (ALM), Fund Transfer Pricing (FTP), International Financial Reporting Standards (IFRS), Financial Reporting Applications, Lending suite, and Early Warning systems.
To ensure support for its wide range of products, Care Risk Solutions chose to migrate from its legacy databases to EDB Postgres. The switch enabled Care Risk to widen their product availability on multiple databases as well as the ability to track large contracts across many years. Care Risk also benefited from the services support from Chemtrols Infotech, including SLA maintenance with end customers.
In this presentation, a Care Risk representative explains their migration journey from legacy database systems to EDB Postgres, the challenges faced, benefits of migrating to EDB Postgres, and much more.
Monitoring is a critical element of the database ecosystem and for overall performance of the database. It also helps ensure that your database is in a healthy state and contributing to the long term stability of your database and application.
Monitoring becomes tricky without knowing what to monitor and how to monitor those variables.
What you will learn in this webinar:
1. Why is it essential to monitor Postgres?
2. The proactive and reactive monitoring approaches and how they help handle future problems
3. The top 10 monitoring checklist
4. When not to monitor
5. A deeper dive into open source tools for monitoring with Prometheus and Grafana
PostgreSQL is versatile and used for a wide range of applications and use cases in the enterprise. It is more than just database technology, it is an accelerator for innovation. Much innovation today is happening in new application development, application modernization, and re-platforming to the cloud across the information architecture landscape. In this webinar, you will learn how EDB supercharges PostgreSQL to re-platform to cloud and containers more efficiently and develop new applications that are more scalable and secure.
Virgin Hyperloop One is the leader in realizing a Hyperloop mass transportation system (VHOMTS), which will bring the cities and people closer together than ever before while reducing pollution, emission of greenhouse gases, transit times, etc. To build a safe and user friendly Hyperloop, we need to answer key technical and business questions, including: – ‘What is the safe maximum speed the hyperloop can go?’ – ‘How many pods (the vehicles that carry people) do we need to fulfill a given demand?’
Oracle Warehouse Builder to Oracle Data Integrator 12c Migration UtilityNoel Sidebotham
As Oracle Warehouse builder nears the end of extended support; customers need to consider their migration options.
In this webex we'll be discussing this topic and aim to answer questions like Which tool should I use for new projects? What should be done with existing implementations? And why should I migrate to ODI?
In this session You will learn about –
• Oracle Data Integrator 12c, concepts and features
• The OWB2ODI migration utility
• How to successfully migrate OWB projects to ODI
• You will hear about customer success stories
• New features of ODI 12c that are getting ETL developers excited including Big Data and Hybrid Cloud support.
This training is intended to support Knowage beginners and guide them though the first essential steps required to take the most out of Knowage experience.
In the first session:
- Knowage installation tutorial
- Knowage overview
- Datasource connection and dataset creation.
In the second session:
- Cockpit creation step by step.
Recent advances in Postgres have propelled the database forward to meet today’s data challenges. At some of the world’s largest companies, Postgres plays a major role in controlling costs and reducing dependence on traditional providers.
This presentation addresses:
* What workloads are best suited for introducing Postgres into your environment
* The success milestones for evaluating the ‘when and how’ of expanding Postgres deployments
* Key advances in recent Postgres releases that support new data types and evolving data challenges
This presentation is intended for strategic IT and Business Decision-Makers involved in data infrastructure decisions and cost-savings.
Extended Flexagon FlexDeploy® Technical Overview presentation with product screenshots. Presentation extended with their permission. Slides demonstrating connection and deployment to Oracle Service Bus.
A case study on deploying Oracle WebCenter as a cloud app on Oracle Exalogic engineered systems. Some of the challenges, compromises required, and benefits gained running these applications on shared hardware.
Agile Oracle to PostgreSQL migrations (PGConf.EU 2013)Gabriele Bartolini
Migrating an Oracle database to Postgres is never an automated operation. And it rarely (never?) involve just the database. Experience brought us to develop an agile methodology for the migration process, involving schema migration, data import, migration of procedures and queries up to the generation of unit tests for QA.
Pitfalls, technologies and main migration opportunities will be outlined, focusing on the reduction of total costs of ownership and management of a database solution in the middle-long term (without reducing quality and business continuity requirements).
De ADF Data Visualisatie sessie van Katarina Obradovic die op donderdag 14 augustus is gepresenteerd.
In de presentatie komt het volgende aan bod:
- Introductie DVT componenten
- Thema's en trends (HTML 5, Tablet, Gamification,...) toegelicht waar haar team mee bezig is
- Nieuwste DVT features van de 12.1.3 release, die eind juni'14 is verschenen
Similar to ODI 12c Installation and New Features (20)
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).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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.”
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
12. Step by step debugger
• Mappings, procedures, packages, scenarios
• Breakpoints can be set
• Variable values can be seen or edited
• Data in intermediate steps can be queried
13. Knowledge Module Architecture
• Component-style Knowledge Modules in addition to
Template-style Knowledge Modules
• Increases reusability
14. OWB Integration
• Able to run OWB jobs (OdiStartOwbJob tool)
• Able to see running OWB jobs through
operator, console, enterprise manager
• OWB Repository can be set as a Data Server in Topology
• OWB to ODI Migration Utility to import OWB Mappings
15. OGG Integration
• OGG source and target can be configured as Data Server
in Topology. Brings flexibility of seperating physical and
logical schemas and enable context usage.
• OGG Extract and replicate parameters can be set by
pyhsical schema, no need to change parameter files
anymore.
• Using JAgent technology, OGG parameter files can be
automatically deployed and run on OGG source and
target servers.
16. Enhanced Parallelism
• In-mapping parallelism
• Loading sources in parallel to the staging area
• Can be modified in pyhsical view of a mapping