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| DATE | 2020-09-29 |
| FROM | NYOUG
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| SUBJECT | Subject: [Hangout - NYLXS] Upcoming Events for Oracle Professionals
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Subject: [Hangout - NYLXS] Upcoming Events for Oracle Professionals
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Enhance your job skills, learn from some of the best Oracle professionals =
in the world. Join NYOUG! New York Oracle Users Group Get involved with oth=
er NYOUG professionals and gain valuable information from participation in =
these webinars, meetings, and other events! Check Out The NYOUG Website Onl=
ine Learning Opportunities Abound While in-person meetings and conferences =
have been canceled or postponed, there are many webinars, online "office ho=
urs" and virtual conferences being offered to provide a way to connect with=
the global Oracle community and get introduced to new products and feature=
s, learn new skills, and get your questions answered. While we're practici=
ng social distancing, why not take advantage of some of these opportunities=
to stay connected with the Oracle community, and please, stay safe. NYOUG =
Webinars Let's Build An Automated Anomalous DB Activity Detector Using Mach=
ine Learning Tuesday, October 13, 2020 12:00 noon - 1:00 pm EDT Featured Sp=
eaker: Craig Shallahamer, OraPub Developing new and adjusting existing moni=
toring rules in today's database environments is an impossible task. There =
are too many databases and highly dynamic workloads. Sure, you can survive.=
But I think we can do better and are being asked to do better. Machine lea=
rning (ML) systems are a fantastic solution because they can be trained to =
detect pre-existing patterns, new and even highly unusual patterns. In this=
presentation I will demonstrate how you can build a simple machine learnin=
g system that will pull the most recent AWR sysmetric data from Oracle, bui=
ld an unsupervised cluster model and then determine if the activity is high=
ly unusual... anomalous. To ensure you can easily do everything I do, I wil=
l use industry standard Python ML libraries and the industry standard Jupyt=
er notebook. You can experiment with the demonstration materials "as is" an=
d then use them to push your ML and anomaly detection knowledge deeper. If =
you have ever wondered how ML can be applied in an IT environment, you don'=
t want to miss this presentation. After a brief machine learning introducti=
on, in this presentation you will learn how to build a simple machine learn=
ing anomaly detection system focused on Oracle database activity. A key obj=
ective is for you to take the demonstration materials, run them yourself, a=
nd have fun exploring and learning! Click here for registration and more in=
formation Reverse Engineer Machine Learning To Develop Performance Monitori=
ng Rules Tuesday, October 27, 2020 12:00 noon - 1:00 pm EDT Featured Speake=
r: Craig Shallahamer, OraPub Tired of continuously adjusting your performan=
ce monitoring and alerting rules? How about using machine learning to creat=
e the rules instead! Sure, we can train a supervised ML model to recognize =
patterns of poor performance. But what if your IT department is not ready t=
o embrace it? A novel solution is to train a supervised machine learning mo=
del to recognize patterns of poor performance, but then extract the rules i=
n plain English and then manually enter them into your existing monitoring =
and alerting platform. Is this possible? Yes it is! And, I will demonstrate=
how you can do this. To ensure you can easily do everything I do, I will u=
se industry standard Python ML libraries, the industry standard Jupyter not=
ebook, AWR and support ticket data. You can experiment with the demonstrati=
on materials "as is" and then use them to push your ML and rule creation kn=
owledge deeper. After a brief ML introduction, we begin with learning how t=
o build a supervised ML decision tree model using industry standard Python =
libraries, a Jupyter notebook, AWR and support ticket data. I'll show you w=
here to get the data, how to load it into the model. Then, we'll focus on t=
raining and evaluating the model. Finally, I'll detail to how to extract an=
d convert the ML "poor performance" model decision tree internals into rule=
s that we can use in your existing monitoring and alerting systems. Click h=
ere for registration and more information This presentation will be resched=
uled due to the technical issues shortly after it began Application UI Desi=
gn in a Mobile Device World TBD Featured Speaker: Peter Koletzke Mobile app=
design has raised the bar for the design of modern business applications. =
Business users now expect the speed and intuitiveness of mobile apps to be =
in the applications they run at work. In addition, modern business applicat=
ions may need to support multiple display devices and their mobile capabili=
ties such as orientation change. This session examines why our application =
user interfaces using popular development environments--such as APEX, JET, =
MAF, MAX, VBCS/VB Studio, JavaScript, Java, ADF, or even Oracle Forms--need=
to comply with principles used in mobile apps. It then reviews standards a=
vailable from sources such as Oracle Alta UI for guiding user interface des=
ign of new or existing applications so they fulfill expectations for device=
support and intuitiveness. The discussion includes the role of and princip=
les used for the Oracle Redwood theme. The presentation also shows examples=
that demonstrate mobile design principles, and it closes with suggesting r=
esources for further study. Click here for registration and more informatio=
n ODTUG Webinars WIT Webinar: Career Adversity During the Pandemic Tuesday,=
October 6, 2020 12:00 noon - 1:00 pm EDT Featured Speakers: Alecs lynarzek=
, Alithya Steisi Manco, Huron Consulting Group Presented by Alecs Mlynarzek=
, Alithya, and Steisi Manco, Huron Consulting Group, along with panelists K=
ellyn Gorman, Microsoft, and Becky Wagner, US Analytics. In this year of th=
e pandemic we have all felt it's impact on both our social and professional=
lives. Our lifestyle has changed but so have our businesses and our workpl=
aces. Companies have reacted in different ways, but predominantly with incr=
eased caution. So how has the pandemic impacted our career growth and oppor=
tunities? Has our work changed in any way since all this began almost half =
a year ago? Should we be adapting to it, or should we just wait it out and =
hope we will be able to resume our "normal" activities? Join our panel of s=
uccessful professionals to hear how they are dealing with this situation an=
d to share your own method of living by the =E2=80=9Cnew norm=E2=80=9D rule=
s. =EF=BB=BFClick here for registration and more information Oracle Enterpr=
ise Manager: Seven Robust Features to Put in Action Thursday, October 8, 20=
20 12:00 noon - 1:00 pm EDT Featured Speaker: Rakesh Nagdev, Datavail Oracl=
e Enterprise Manager (OEM) brings your Oracle deployments together in a sin=
gle management, monitoring, and automation dashboard. Oracle developed this=
solution, so it offers deep integration with many of its technologies. The=
ease of integration, coupled with the support of both on-premise and cloud=
-based Oracle databases, allows it to fit into many enterprise infrastructu=
res. Oracle Enterprise Manager can also monitor and manage non-Oracle datab=
ases, making it a cost-effective and central tool to manage IT environments=
with a mix of database platforms. The single point of control is appealing=
for complex enterprise infrastructures, especially when they=E2=80=99re he=
avily invested in Oracle technologies. Out-of-the-box monitoring and report=
ing templates cover many common use cases, and simplifies the configuration=
of management automation for databases, applications, and more. This prese=
ntation takes on a brief history of OEM and then does a deep dive into seve=
n robust features organizations should consider implementing: 1. Intelligen=
t Incident Compression (Smart Alerting) 2. Chief Job Support 3. Always-ON M=
onitoring 4. Notification Blackouts 5. System Broadcast 6. Export & Import =
Incident Rule Sets 7. Metric Enhancements Click here for registration and m=
ore information SQL and PLSQL with Relational Data and JSON Tuesday, Octobe=
r 13, 2020 12:00 noon - 1:00 pm EDT Featured Speaker: Darryl Hurley, ImpleS=
trat Solutions JSON data is different from relational data. This means that=
things are different when accessing them via SQL and PLSQL. This session d=
emonstrates what to be aware of when working with mixed JSON and relational=
data. Click here for registration and more information Ask TOM Office Hou=
rs Click here for more information or to subscribe to Ask TOM Office Hours =
Oracle Machine Learning : Machine Learning 101: Clustering Tuesday, Septemb=
er 29, 2020 11:00 am - 12:00 noon EDT Oracle Cloud Services : Advanced Chat=
bot Development - the Art of What=E2=80=99s Possible Tuesday, September 29,=
2020 1:00 pm - 2:00 pm EDT Oracle Cloud Services : Practical approach to C=
loud Native Wednesday, September 30, 2020 9:00 am - 10:00 am EDT Developer =
Playground: Hands on Lab: Low Code Development with Autonomous Database Tue=
sday, October 6, 2020 1:00 pm - 2:00 pm EDT Database Cloud Service : Explor=
e Database Cloud Service Thursday, October 8, 2020 11:00 am - 12:00 noon ED=
T AskTOM Database Security : AskTOM Database Security Office Hours Thursday=
, October 8, 2020 4:00 pm - 5:00 pm EDT NYOUG PO Box 482, Ridgewood, NJ 07=
451 (929) 266 7082 Contact Us =E2=80=8C =E2=80=8C NYOUG | PO Box 482, Ridge=
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|
Enhance your job skills, learn from some of the best Oracle professionals in the world. Join NYOUG!
|
|
New York Oracle Users Group
|
|
Get involved with other NYOUG professionals and gain valuable information from participation in these webinars, meetings, and other events!
|
|
Online Learning Opportunities Abound
|
|
While in-person meetings and conferences have been canceled or postponed, there are many webinars, online "office hours" and virtual conferences being offered to provide a way to connect with the global Oracle community and get introduced to new products and features, learn new skills, and get your questions answered.
While we're practicing social distancing, why not take advantage of some of these opportunities to stay connected with the Oracle community, and please, stay safe.
|
|
Let's Build An Automated Anomalous DB Activity Detector Using Machine Learning Tuesday, October 13, 2020 12:00 noon - 1:00 pm EDT
Featured Speaker: Craig Shallahamer, OraPub
Developing new and adjusting existing monitoring rules in today's database environments is an impossible task. There are too many databases and highly dynamic workloads. Sure, you can survive. But I think we can do better and are being asked to do better. Machine learning (ML) systems are a fantastic solution because they can be trained to detect pre-existing patterns, new and even highly unusual patterns.
In this presentation I will demonstrate how you can build a simple machine learning system that will pull the most recent AWR sysmetric data from Oracle, build an unsupervised cluster model and then determine if the activity is highly unusual... anomalous.
To ensure you can easily do everything I do, I will use industry standard Python ML libraries and the industry standard Jupyter notebook. You can experiment with the demonstration materials "as is" and then use them to push your ML and anomaly detection knowledge deeper.
If you have ever wondered how ML can be applied in an IT environment, you don't want to miss this presentation.
After a brief machine learning introduction, in this presentation you will learn how to build a simple machine learning anomaly detection system focused on Oracle database activity. A key objective is for you to take the demonstration materials, run them yourself, and have fun exploring and learning!
|
|
Reverse Engineer Machine Learning To Develop Performance Monitoring Rules Tuesday, October 27, 2020 12:00 noon - 1:00 pm EDT
Featured Speaker: Craig Shallahamer, OraPub
Tired of continuously adjusting your performance monitoring and alerting rules? How about using machine learning to create the rules instead! Sure, we can train a supervised ML model to recognize patterns of poor performance. But what if your IT department is not ready to embrace it?
A novel solution is to train a supervised machine learning model to recognize patterns of poor performance, but then extract the rules in plain English and then manually enter them into your existing monitoring and alerting platform. Is this possible? Yes it is! And, I will demonstrate how you can do this.
To ensure you can easily do everything I do, I will use industry standard Python ML libraries, the industry standard Jupyter notebook, AWR and support ticket data. You can experiment with the demonstration materials "as is" and then use them to push your ML and rule creation knowledge deeper.
After a brief ML introduction, we begin with learning how to build a supervised ML decision tree model using industry standard Python libraries, a Jupyter notebook, AWR and support ticket data. I'll show you where to get the data, how to load it into the model. Then, we'll focus on training and evaluating the model. Finally, I'll detail to how to extract and convert the ML "poor performance" model decision tree internals into rules that we can use in your existing monitoring and alerting systems.
|
|
This presentation will be rescheduled due to the technical issues shortly after it began
Application UI Design in a Mobile Device World TBD
Featured Speaker: Peter Koletzke
Mobile app design has raised the bar for the design of modern business applications. Business users now expect the speed and intuitiveness of mobile apps to be in the applications they run at work. In addition, modern business applications may need to support multiple display devices and their mobile capabilities such as orientation change.
This session examines why our application user interfaces using popular development environments--such as APEX, JET, MAF, MAX, VBCS/VB Studio, JavaScript, Java, ADF, or even Oracle Forms--need to comply with principles used in mobile apps. It then reviews standards available from sources such as Oracle Alta UI for guiding user interface design of new or existing applications so they fulfill expectations for device support and intuitiveness. The discussion includes the role of and principles used for the Oracle Redwood theme.
The presentation also shows examples that demonstrate mobile design principles, and it closes with suggesting resources for further study.
|
|
WIT Webinar: Career Adversity During the Pandemic Tuesday, October 6, 2020 12:00 noon - 1:00 pm EDT
Featured Speakers: Alecs lynarzek, Alithya
Steisi Manco, Huron Consulting Group
Presented by Alecs Mlynarzek, Alithya, and Steisi Manco, Huron Consulting Group, along with panelists Kellyn Gorman, Microsoft, and Becky Wagner, US Analytics.
In this year of the pandemic we have all felt it's impact on both our social and professional lives. Our lifestyle has changed but so have our businesses and our workplaces. Companies have reacted in different ways, but predominantly with increased caution. So how has the pandemic impacted our career growth and opportunities? Has our work changed in any way since all this began almost half a year ago? Should we be adapting to it, or should we just wait it out and hope we will be able to resume our "normal" activities? Join our panel of successful professionals to hear how they are dealing with this situation and to share your own method of living by the “new norm” rules.
|
|
Oracle Enterprise Manager: Seven Robust Features to Put in Action Thursday, October 8, 2020 12:00 noon - 1:00 pm EDT
Featured Speaker: Rakesh Nagdev, Datavail
Oracle Enterprise Manager (OEM) brings your Oracle deployments together in a single management, monitoring, and automation dashboard. Oracle developed this solution, so it offers deep integration with many of its technologies. The ease of integration, coupled with the support of both on-premise and cloud-based Oracle databases, allows it to fit into many enterprise infrastructures. Oracle Enterprise Manager can also monitor and manage non-Oracle databases, making it a cost-effective and central tool to manage IT environments with a mix of database platforms.
The single point of control is appealing for complex enterprise infrastructures, especially when they’re heavily invested in Oracle technologies. Out-of-the-box monitoring and reporting templates cover many common use cases, and simplifies the configuration of management automation for databases, applications, and more.
This presentation takes on a brief history of OEM and then does a deep dive into seven robust features organizations should consider implementing: 1. Intelligent Incident Compression (Smart Alerting) 2. Chief Job Support 3. Always-ON Monitoring 4. Notification Blackouts 5. System Broadcast 6. Export & Import Incident Rule Sets 7. Metric Enhancements
|
|
SQL and PLSQL with Relational Data and JSON Tuesday, October 13, 2020 12:00 noon - 1:00 pm EDT
Featured Speaker: Darryl Hurley, ImpleStrat Solutions
JSON data is different from relational data. This means that things are different when accessing them via SQL and PLSQL. This session demonstrates what to be aware of when working with mixed JSON and relational data.
|
|
------=_Part_1017724577_622810075.1601362827132
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: quoted-printable
Enhance your job skills, learn from some of the best Oracle professionals =
in the world. Join NYOUG! New York Oracle Users Group Get involved with oth=
er NYOUG professionals and gain valuable information from participation in =
these webinars, meetings, and other events! Check Out The NYOUG Website Onl=
ine Learning Opportunities Abound While in-person meetings and conferences =
have been canceled or postponed, there are many webinars, online "office ho=
urs" and virtual conferences being offered to provide a way to connect with=
the global Oracle community and get introduced to new products and feature=
s, learn new skills, and get your questions answered. While we're practici=
ng social distancing, why not take advantage of some of these opportunities=
to stay connected with the Oracle community, and please, stay safe. NYOUG =
Webinars Let's Build An Automated Anomalous DB Activity Detector Using Mach=
ine Learning Tuesday, October 13, 2020 12:00 noon - 1:00 pm EDT Featured Sp=
eaker: Craig Shallahamer, OraPub Developing new and adjusting existing moni=
toring rules in today's database environments is an impossible task. There =
are too many databases and highly dynamic workloads. Sure, you can survive.=
But I think we can do better and are being asked to do better. Machine lea=
rning (ML) systems are a fantastic solution because they can be trained to =
detect pre-existing patterns, new and even highly unusual patterns. In this=
presentation I will demonstrate how you can build a simple machine learnin=
g system that will pull the most recent AWR sysmetric data from Oracle, bui=
ld an unsupervised cluster model and then determine if the activity is high=
ly unusual... anomalous. To ensure you can easily do everything I do, I wil=
l use industry standard Python ML libraries and the industry standard Jupyt=
er notebook. You can experiment with the demonstration materials "as is" an=
d then use them to push your ML and anomaly detection knowledge deeper. If =
you have ever wondered how ML can be applied in an IT environment, you don'=
t want to miss this presentation. After a brief machine learning introducti=
on, in this presentation you will learn how to build a simple machine learn=
ing anomaly detection system focused on Oracle database activity. A key obj=
ective is for you to take the demonstration materials, run them yourself, a=
nd have fun exploring and learning! Click here for registration and more in=
formation Reverse Engineer Machine Learning To Develop Performance Monitori=
ng Rules Tuesday, October 27, 2020 12:00 noon - 1:00 pm EDT Featured Speake=
r: Craig Shallahamer, OraPub Tired of continuously adjusting your performan=
ce monitoring and alerting rules? How about using machine learning to creat=
e the rules instead! Sure, we can train a supervised ML model to recognize =
patterns of poor performance. But what if your IT department is not ready t=
o embrace it? A novel solution is to train a supervised machine learning mo=
del to recognize patterns of poor performance, but then extract the rules i=
n plain English and then manually enter them into your existing monitoring =
and alerting platform. Is this possible? Yes it is! And, I will demonstrate=
how you can do this. To ensure you can easily do everything I do, I will u=
se industry standard Python ML libraries, the industry standard Jupyter not=
ebook, AWR and support ticket data. You can experiment with the demonstrati=
on materials "as is" and then use them to push your ML and rule creation kn=
owledge deeper. After a brief ML introduction, we begin with learning how t=
o build a supervised ML decision tree model using industry standard Python =
libraries, a Jupyter notebook, AWR and support ticket data. I'll show you w=
here to get the data, how to load it into the model. Then, we'll focus on t=
raining and evaluating the model. Finally, I'll detail to how to extract an=
d convert the ML "poor performance" model decision tree internals into rule=
s that we can use in your existing monitoring and alerting systems. Click h=
ere for registration and more information This presentation will be resched=
uled due to the technical issues shortly after it began Application UI Desi=
gn in a Mobile Device World TBD Featured Speaker: Peter Koletzke Mobile app=
design has raised the bar for the design of modern business applications. =
Business users now expect the speed and intuitiveness of mobile apps to be =
in the applications they run at work. In addition, modern business applicat=
ions may need to support multiple display devices and their mobile capabili=
ties such as orientation change. This session examines why our application =
user interfaces using popular development environments--such as APEX, JET, =
MAF, MAX, VBCS/VB Studio, JavaScript, Java, ADF, or even Oracle Forms--need=
to comply with principles used in mobile apps. It then reviews standards a=
vailable from sources such as Oracle Alta UI for guiding user interface des=
ign of new or existing applications so they fulfill expectations for device=
support and intuitiveness. The discussion includes the role of and princip=
les used for the Oracle Redwood theme. The presentation also shows examples=
that demonstrate mobile design principles, and it closes with suggesting r=
esources for further study. Click here for registration and more informatio=
n ODTUG Webinars WIT Webinar: Career Adversity During the Pandemic Tuesday,=
October 6, 2020 12:00 noon - 1:00 pm EDT Featured Speakers: Alecs lynarzek=
, Alithya Steisi Manco, Huron Consulting Group Presented by Alecs Mlynarzek=
, Alithya, and Steisi Manco, Huron Consulting Group, along with panelists K=
ellyn Gorman, Microsoft, and Becky Wagner, US Analytics. In this year of th=
e pandemic we have all felt it's impact on both our social and professional=
lives. Our lifestyle has changed but so have our businesses and our workpl=
aces. Companies have reacted in different ways, but predominantly with incr=
eased caution. So how has the pandemic impacted our career growth and oppor=
tunities? Has our work changed in any way since all this began almost half =
a year ago? Should we be adapting to it, or should we just wait it out and =
hope we will be able to resume our "normal" activities? Join our panel of s=
uccessful professionals to hear how they are dealing with this situation an=
d to share your own method of living by the =E2=80=9Cnew norm=E2=80=9D rule=
s. =EF=BB=BFClick here for registration and more information Oracle Enterpr=
ise Manager: Seven Robust Features to Put in Action Thursday, October 8, 20=
20 12:00 noon - 1:00 pm EDT Featured Speaker: Rakesh Nagdev, Datavail Oracl=
e Enterprise Manager (OEM) brings your Oracle deployments together in a sin=
gle management, monitoring, and automation dashboard. Oracle developed this=
solution, so it offers deep integration with many of its technologies. The=
ease of integration, coupled with the support of both on-premise and cloud=
-based Oracle databases, allows it to fit into many enterprise infrastructu=
res. Oracle Enterprise Manager can also monitor and manage non-Oracle datab=
ases, making it a cost-effective and central tool to manage IT environments=
with a mix of database platforms. The single point of control is appealing=
for complex enterprise infrastructures, especially when they=E2=80=99re he=
avily invested in Oracle technologies. Out-of-the-box monitoring and report=
ing templates cover many common use cases, and simplifies the configuration=
of management automation for databases, applications, and more. This prese=
ntation takes on a brief history of OEM and then does a deep dive into seve=
n robust features organizations should consider implementing: 1. Intelligen=
t Incident Compression (Smart Alerting) 2. Chief Job Support 3. Always-ON M=
onitoring 4. Notification Blackouts 5. System Broadcast 6. Export & Import =
Incident Rule Sets 7. Metric Enhancements Click here for registration and m=
ore information SQL and PLSQL with Relational Data and JSON Tuesday, Octobe=
r 13, 2020 12:00 noon - 1:00 pm EDT Featured Speaker: Darryl Hurley, ImpleS=
trat Solutions JSON data is different from relational data. This means that=
things are different when accessing them via SQL and PLSQL. This session d=
emonstrates what to be aware of when working with mixed JSON and relational=
data. Click here for registration and more information Ask TOM Office Hou=
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Oracle Machine Learning : Machine Learning 101: Clustering Tuesday, Septemb=
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Playground: Hands on Lab: Low Code Development with Autonomous Database Tue=
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Enhance your job skills, learn from some of the best Oracle professionals in the world. Join NYOUG!
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New York Oracle Users Group
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Get involved with other NYOUG professionals and gain valuable information from participation in these webinars, meetings, and other events!
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Online Learning Opportunities Abound
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While in-person meetings and conferences have been canceled or postponed, there are many webinars, online "office hours" and virtual conferences being offered to provide a way to connect with the global Oracle community and get introduced to new products and features, learn new skills, and get your questions answered.
While we're practicing social distancing, why not take advantage of some of these opportunities to stay connected with the Oracle community, and please, stay safe.
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Let's Build An Automated Anomalous DB Activity Detector Using Machine Learning Tuesday, October 13, 2020 12:00 noon - 1:00 pm EDT
Featured Speaker: Craig Shallahamer, OraPub
Developing new and adjusting existing monitoring rules in today's database environments is an impossible task. There are too many databases and highly dynamic workloads. Sure, you can survive. But I think we can do better and are being asked to do better. Machine learning (ML) systems are a fantastic solution because they can be trained to detect pre-existing patterns, new and even highly unusual patterns.
In this presentation I will demonstrate how you can build a simple machine learning system that will pull the most recent AWR sysmetric data from Oracle, build an unsupervised cluster model and then determine if the activity is highly unusual... anomalous.
To ensure you can easily do everything I do, I will use industry standard Python ML libraries and the industry standard Jupyter notebook. You can experiment with the demonstration materials "as is" and then use them to push your ML and anomaly detection knowledge deeper.
If you have ever wondered how ML can be applied in an IT environment, you don't want to miss this presentation.
After a brief machine learning introduction, in this presentation you will learn how to build a simple machine learning anomaly detection system focused on Oracle database activity. A key objective is for you to take the demonstration materials, run them yourself, and have fun exploring and learning!
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Reverse Engineer Machine Learning To Develop Performance Monitoring Rules Tuesday, October 27, 2020 12:00 noon - 1:00 pm EDT
Featured Speaker: Craig Shallahamer, OraPub
Tired of continuously adjusting your performance monitoring and alerting rules? How about using machine learning to create the rules instead! Sure, we can train a supervised ML model to recognize patterns of poor performance. But what if your IT department is not ready to embrace it?
A novel solution is to train a supervised machine learning model to recognize patterns of poor performance, but then extract the rules in plain English and then manually enter them into your existing monitoring and alerting platform. Is this possible? Yes it is! And, I will demonstrate how you can do this.
To ensure you can easily do everything I do, I will use industry standard Python ML libraries, the industry standard Jupyter notebook, AWR and support ticket data. You can experiment with the demonstration materials "as is" and then use them to push your ML and rule creation knowledge deeper.
After a brief ML introduction, we begin with learning how to build a supervised ML decision tree model using industry standard Python libraries, a Jupyter notebook, AWR and support ticket data. I'll show you where to get the data, how to load it into the model. Then, we'll focus on training and evaluating the model. Finally, I'll detail to how to extract and convert the ML "poor performance" model decision tree internals into rules that we can use in your existing monitoring and alerting systems.
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This presentation will be rescheduled due to the technical issues shortly after it began
Application UI Design in a Mobile Device World TBD
Featured Speaker: Peter Koletzke
Mobile app design has raised the bar for the design of modern business applications. Business users now expect the speed and intuitiveness of mobile apps to be in the applications they run at work. In addition, modern business applications may need to support multiple display devices and their mobile capabilities such as orientation change.
This session examines why our application user interfaces using popular development environments--such as APEX, JET, MAF, MAX, VBCS/VB Studio, JavaScript, Java, ADF, or even Oracle Forms--need to comply with principles used in mobile apps. It then reviews standards available from sources such as Oracle Alta UI for guiding user interface design of new or existing applications so they fulfill expectations for device support and intuitiveness. The discussion includes the role of and principles used for the Oracle Redwood theme.
The presentation also shows examples that demonstrate mobile design principles, and it closes with suggesting resources for further study.
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WIT Webinar: Career Adversity During the Pandemic Tuesday, October 6, 2020 12:00 noon - 1:00 pm EDT
Featured Speakers: Alecs lynarzek, Alithya
Steisi Manco, Huron Consulting Group
Presented by Alecs Mlynarzek, Alithya, and Steisi Manco, Huron Consulting Group, along with panelists Kellyn Gorman, Microsoft, and Becky Wagner, US Analytics.
In this year of the pandemic we have all felt it's impact on both our social and professional lives. Our lifestyle has changed but so have our businesses and our workplaces. Companies have reacted in different ways, but predominantly with increased caution. So how has the pandemic impacted our career growth and opportunities? Has our work changed in any way since all this began almost half a year ago? Should we be adapting to it, or should we just wait it out and hope we will be able to resume our "normal" activities? Join our panel of successful professionals to hear how they are dealing with this situation and to share your own method of living by the “new norm” rules.
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Oracle Enterprise Manager: Seven Robust Features to Put in Action Thursday, October 8, 2020 12:00 noon - 1:00 pm EDT
Featured Speaker: Rakesh Nagdev, Datavail
Oracle Enterprise Manager (OEM) brings your Oracle deployments together in a single management, monitoring, and automation dashboard. Oracle developed this solution, so it offers deep integration with many of its technologies. The ease of integration, coupled with the support of both on-premise and cloud-based Oracle databases, allows it to fit into many enterprise infrastructures. Oracle Enterprise Manager can also monitor and manage non-Oracle databases, making it a cost-effective and central tool to manage IT environments with a mix of database platforms.
The single point of control is appealing for complex enterprise infrastructures, especially when they’re heavily invested in Oracle technologies. Out-of-the-box monitoring and reporting templates cover many common use cases, and simplifies the configuration of management automation for databases, applications, and more.
This presentation takes on a brief history of OEM and then does a deep dive into seven robust features organizations should consider implementing: 1. Intelligent Incident Compression (Smart Alerting) 2. Chief Job Support 3. Always-ON Monitoring 4. Notification Blackouts 5. System Broadcast 6. Export & Import Incident Rule Sets 7. Metric Enhancements
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SQL and PLSQL with Relational Data and JSON Tuesday, October 13, 2020 12:00 noon - 1:00 pm EDT
Featured Speaker: Darryl Hurley, ImpleStrat Solutions
JSON data is different from relational data. This means that things are different when accessing them via SQL and PLSQL. This session demonstrates what to be aware of when working with mixed JSON and relational data.
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