How the Environmental Protection Agency Maximized its SAP BusinessObjects Inv...Wiiisdom
The EPA Office of the Chief Financial Officer (OCFO) implemented SAP BusinessObjects more than 10 years ago. In 2017, the OCFO launched a shared service center within EPA to maximize its SAP BusinessObjects investments and reduce costs. In its short existence, the shared service center has accomplished many objectives.
Uncover Your Data Journey: End-To-End Data Lineage For SAP BOBJ And SAP Data ...Wiiisdom
If you get asked that question on where your data is coming from, what transformation it gets, and who's accessing it, then this session is made just for you. In this session, get a deep understanding of your data lifecycle from BODS all the way to your final report, and understand how to carry out an audit and impact analysis in SAP BusinessObjects to document unused content.
Watch the session here: https://youtu.be/YC7VM-GsW6w
Is AnalyticsOps the weak link in your data strategy?Wiiisdom
"Four out of five CEOs do not trust the data upon which they base their decisions."
For many years, insight-driven organizations have understood the importance of data in decision-making. They have also understood the importance of data governance by having invested heavily in DataOps technologies. However, the problem of trust persists. In this session, you will discover how to better govern the last mile on the data journey, de-risk Analytics, and thus ensure user trust.
Watch the session here: https://youtu.be/FOd5nswyGSY
Everything you need to know about SAP BusinessObjects Private Cloud EditionWiiisdom
This document discusses how SAP BusinessObjects PCE (SAP's platform for business intelligence) can be optimized using 360Suite software. It outlines 3 key areas: 1) Paying only for what you use by identifying unused reports, licenses, and schedules for consolidation; 2) Ensuring business as usual by automating migration, documentation, and regression testing; 3) Enjoying full benefits at reduced costs by automating maintenance, quality assurance, backups, and platform adoption documentation to reduce costs by up to 80%. An example testimonial from Harley-Davidson cites savings of over $1 million using 360Suite.
Cómo transformar los datos en análisis con los que tomar decisionesElasticsearch
Descubre las áreas de características estratégicas de Elastic Stack: Elasticsearch, un motor de datos inigualable y Kibana, la ventana que da acceso a Elastic Stack.
En la sesión hablaremos sobre:
Cómo incorporar datos a Elastic Stack
Almacenamiento de datos
Análisis de los datos
Actuar en función de los datos
This document discusses analyzing customer usage data trends using Gainsight. It provides an overview of the types of analyses that can be done with Gainsight data, including cause and effect, correlation, and metrics analyses. Examples of questions that can be answered include determining which features successful customers adopt and how implementation methods impact usage. The document reviews steps for building an effective analysis, including starting with an actionable question, determining required data, and choosing a reporting format. Report Builder and dashboards are demonstrated as tools for visualizing analyses in Gainsight.
This document outlines seven steps for transitioning from data science to data operations (DataOps):
1. Orchestrate the data science and production workflows.
2. Add testing at each step to monitor quality.
3. Use a version control system to manage code changes.
4. Implement branching and merging to allow parallel development.
5. Maintain separate environments for experiments, development and production.
6. Containerize components and practice environment version control.
7. Parameterize processes to increase flexibility and reuse.
The SMART Forecasting team at Walmart Labs has built an innovative, cloud-agnostic, scalable platform to improve Walmart’s ability to predict customer demand while improving item in-stocks and reducing food waste. Over a period of two years, all of Walmart’s key departments in the US, Canada and Mexico have adopted our forecasting solution with planned extensions to other Walmart operated international markets. Over 100M store-item combinations are forecasted every week for the next 52 weeks. We continue to enhance our modelling suite for COVID impact, pricing in international markets, and weekend sales corrections. We will present a general overview of our scaled forecasting solution and follow it by a concrete use case for in week adjustments which provides consistent business value for produce and is currently in the process of being scaled out to more Walmart departments.
How the Environmental Protection Agency Maximized its SAP BusinessObjects Inv...Wiiisdom
The EPA Office of the Chief Financial Officer (OCFO) implemented SAP BusinessObjects more than 10 years ago. In 2017, the OCFO launched a shared service center within EPA to maximize its SAP BusinessObjects investments and reduce costs. In its short existence, the shared service center has accomplished many objectives.
Uncover Your Data Journey: End-To-End Data Lineage For SAP BOBJ And SAP Data ...Wiiisdom
If you get asked that question on where your data is coming from, what transformation it gets, and who's accessing it, then this session is made just for you. In this session, get a deep understanding of your data lifecycle from BODS all the way to your final report, and understand how to carry out an audit and impact analysis in SAP BusinessObjects to document unused content.
Watch the session here: https://youtu.be/YC7VM-GsW6w
Is AnalyticsOps the weak link in your data strategy?Wiiisdom
"Four out of five CEOs do not trust the data upon which they base their decisions."
For many years, insight-driven organizations have understood the importance of data in decision-making. They have also understood the importance of data governance by having invested heavily in DataOps technologies. However, the problem of trust persists. In this session, you will discover how to better govern the last mile on the data journey, de-risk Analytics, and thus ensure user trust.
Watch the session here: https://youtu.be/FOd5nswyGSY
Everything you need to know about SAP BusinessObjects Private Cloud EditionWiiisdom
This document discusses how SAP BusinessObjects PCE (SAP's platform for business intelligence) can be optimized using 360Suite software. It outlines 3 key areas: 1) Paying only for what you use by identifying unused reports, licenses, and schedules for consolidation; 2) Ensuring business as usual by automating migration, documentation, and regression testing; 3) Enjoying full benefits at reduced costs by automating maintenance, quality assurance, backups, and platform adoption documentation to reduce costs by up to 80%. An example testimonial from Harley-Davidson cites savings of over $1 million using 360Suite.
Cómo transformar los datos en análisis con los que tomar decisionesElasticsearch
Descubre las áreas de características estratégicas de Elastic Stack: Elasticsearch, un motor de datos inigualable y Kibana, la ventana que da acceso a Elastic Stack.
En la sesión hablaremos sobre:
Cómo incorporar datos a Elastic Stack
Almacenamiento de datos
Análisis de los datos
Actuar en función de los datos
This document discusses analyzing customer usage data trends using Gainsight. It provides an overview of the types of analyses that can be done with Gainsight data, including cause and effect, correlation, and metrics analyses. Examples of questions that can be answered include determining which features successful customers adopt and how implementation methods impact usage. The document reviews steps for building an effective analysis, including starting with an actionable question, determining required data, and choosing a reporting format. Report Builder and dashboards are demonstrated as tools for visualizing analyses in Gainsight.
This document outlines seven steps for transitioning from data science to data operations (DataOps):
1. Orchestrate the data science and production workflows.
2. Add testing at each step to monitor quality.
3. Use a version control system to manage code changes.
4. Implement branching and merging to allow parallel development.
5. Maintain separate environments for experiments, development and production.
6. Containerize components and practice environment version control.
7. Parameterize processes to increase flexibility and reuse.
The SMART Forecasting team at Walmart Labs has built an innovative, cloud-agnostic, scalable platform to improve Walmart’s ability to predict customer demand while improving item in-stocks and reducing food waste. Over a period of two years, all of Walmart’s key departments in the US, Canada and Mexico have adopted our forecasting solution with planned extensions to other Walmart operated international markets. Over 100M store-item combinations are forecasted every week for the next 52 weeks. We continue to enhance our modelling suite for COVID impact, pricing in international markets, and weekend sales corrections. We will present a general overview of our scaled forecasting solution and follow it by a concrete use case for in week adjustments which provides consistent business value for produce and is currently in the process of being scaled out to more Walmart departments.
Hazelcast Striim Hot Cache PresentationSteve Wilkes
Hazelcast Striim Hot Cache provides real-time, push-based propagation of changes to a Hazelcast cache from a system of record. For organizations that manage high volumes of data, Hazelcast Striim Hot Cache ensures continuous synchronization between the cache and its underlying database, providing consistency with the system of record.
In this presentation you will learn how you can use Striim Change Data Capture to ensure that your Hazelcast Cache is continuously synchronized with your database in real-time.
Here is an overview of the Bridged framework that CodeData uses to deliver data driven solutions to our customers. The Bridged framework covers all aspects of such solutions - strategy. leadership, process, technology, education and operations.
Strata+hadoop data kitchen-seven-steps-to-high-velocity-data-analytics-with d...DataKitchen
The document outlines seven steps for implementing DataOps to help analytic teams deliver insights faster with higher quality. The steps are: 1) add data and logic tests, 2) use a version control system, 3) branch and merge, 4) use multiple environments, 5) reuse and containerize components, 6) parameterize processing, and 7) use simple storage. A case study example describes how one data engineer supports 12 analysts making weekly schema changes without issues using DataOps.
How to become a visualization guru in Web IntelligenceWiiisdom
What is the chart engine used in Web Intelligence?
Learn about the CVOM chart engine
Latest chart developments and improvements:
What’s new since Web Intelligence 4.2?
Deep dive into unknown charts customization settings
Some unknown yet powerful charts settings…
Charts you did not know you could do in Web Intelligence
Examples of exotic charts you can build…
Webi4Me
The current data landscape, key trends, and the future of business intelligence and data analytics. Time to modernize your data analytics? Start your free Looker trial today.
Migrating Monitoring to Observability – How to Transform DevOps from being Re...Liz Masters Lovelace
With your Digital Transformation in full swing it’s time to transform the way you look at your systems and services. With the speed of DevOps you need your Monitoring to be faster, more agile, and more accurate. You can’t afford your systems to be down. Its time to look at monitoring from a different angle. Let’s explore looking from the top down rather than the bottom up. For more information, please reach out to Craig Haessig. CraigH@mobiuspartners.com
Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014Jaroslav Gergic
The recent boom in big data processing and democratization of the big data space has been enabled by the fact that most of the concepts originated in the research labs of companies such as Google, Amazon, Yahoo and Facebook are now available as open source. Technologies such as Hadoop, Cassandra let businesses around the world to become more data driven and tap into their massive data feeds to mine valuable insights.
At the same time, we are still at a certain stage of the maturity curve of these new big data technologies and of the entire big data technology stack. Many of the technologies originated from a particular use case and attempts to apply them in a more generic fashion are hitting the limits of their technological foundations. In some areas, there are several competing technologies for the same set of use cases, which increases risks and costs of big data implementations.
We will show how GoodData solves the entire big data pipeline today, starting from raw data feeds all the way up to actionable business insights. All this provided as a hosted multi-tenant environment letting its customers to solve their particular analytical use case or many analytical use cases for thousands of their customers all using the same platform and tools while abstracting them away from the technological details of the big data stack.
Einstein Analytics (previously known as Wave Analytics) allows developers to not only create analytics applications, but also to create application templates that allow end-users to create their own analytics applications based on your master app. You, the developer, can define parameters and rules as part of the template, allowing the end-user to customize the app to their requirements. This Dreamforce 2017 session explains how to use Analytics Templates and the Analytics External Data API to automate the ingest of data from outside the platform, manipulating datasets and dataflows to provide a seamless experience for the user.
Twilio, a developer focused communications API company uses HipChat, JIRA Software and Confluence to manage their business of 500+ people and hundreds of companies using their API's around the world. Join Dominique DeGuzman, Software Engineer and Atlassian Administrator in a talk showing how they use Add-ons to help run their business, including employee on-boarding, off-boarding, travel, and facility requests. You'll also learn how Twilio is integrating with Atlassian to handle task routing in JIRA Service Desk, and SMS for missed HipChat notifications, including escalation and approvals.
A high-level overview of LogicMonitor; the leading SaaS-based hybrid infrastructure performance monitoring solution on the market, changing the way enterprise organisations monitor dynamic, multi-cloud environments. Giving you hosted monitoring for your entire stack - servers, networks, containers, storage, applications, virtualisation, and cloud - from a single pane of glass. No dedicated servers required!
If you want to talk AIOps, automation, and where our industry is going please hit me up with a message. I want to learn about you guys and what technology means for you!
Comment transformer vos données en informations exploitablesElasticsearch
Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
Load data from Quickbook to Snowflake in minutessyed_javed
Modern data solution like Lyftron enables data governance with data catalog, data model, data definition, data lineage, tagging and enterprise data dictionary search.
Breaking Down a SQL Monolith with Change Tracking, Kafka and KStreams/KSQLconfluent
(Wanny Morellato, SAP Concur) Kafka Summit SF 2018
Monolithic architectures should become a thing of the past sooner or later—preferably, sooner, of course … However, as it usually is with shiny pictures of a perfect future outcome vs. sobering facts of the reality, moving from a monolith to microservices is sometimes easier said than done.
This talk will cover many lessons we learned during this process and how Kafka, change tracking and KSQL were successfully leveraged to break down a SQL server monolith while at the same time allowing SAP Concur to scale its backends to billions of daily transactions, enabling several new features and functionalities.
Learn how we:
-Leveraged Kafka Connect change tracking to propagate data changes out of SQL Server
-Used Kafka to provide a highly performant and horizontally scalable central nervous system for SAP Concur events
-Implemented KStreams/KSQL to perform real-time joins, aggregations, windowing and webhook integrations
The document discusses Nitai Partners' value-added Oracle Business Analytics and Endeca implementation services. It highlights their expertise in areas such as Oracle BI, Hyperion, Endeca, big data analytics, ETL/ELT, and data warehousing. The company offers rapid deployment timelines of 10-12 weeks and guarantees successful deployments and implementations through quality, timely, and reliable practices that are business-driven and follow best practices. It provides contact details to engage their services.
GoodData: The DevOps Story @ FIT CVUT October 16 2013Jaroslav Gergic
Presentation was a part of FIT CVUT / MI-AIT (Případové studie aplikace a řízení IT).
We compare the traditional organization model of separate teams for engineering, QA and operations to the DevOps model using autonomous cross-functional teams. The presentation uses GoodData as a case study.
The document discusses how data scientists need access to accurate and trustworthy data quickly in order to gain new insights. It describes challenges around assessing available data, integrating new data sources, and ensuring data quality and stewardship. The Kalido Information Engine is presented as a solution to help data scientists by allowing them to graphically model data requirements, integrate and steward new data through automated workflows, and generate results fast through a data science sandbox. Key capabilities of the Kalido Information Engine include sophisticated modeling, high performance ETL, data matching, workflow automation, and result generation.
Microsoft Integration Roadshow: Integration in ActionGarry Stewart
The document describes a technical demo that will showcase an integrated enterprise architecture using disparate data sources to power business processes. The demo will integrate plant telemetry data, production data, asset information, and product information from various on-premise and cloud systems using technologies like Azure, BizTalk, SQL Server StreamInsight, and WCF services. It also provides additional resources on these technologies.
Quarta puntata del MuleSoft Meetup di Milano - 22 Luglio 2021
Approfondiremo insieme a Giacomo che opzioni abbiamo per esternalizzare i log di Mule e con Gonzalo vedremo in dettaglio il modulo di Advanced Monitoring e le differenze fra le sottoscrizioni Platinum e Titanium.
Meetup Milano - https://meetups.mulesoft.com/events/d...
Agenda
6:00 PM Check-in e benvenuto (Caterina Bonanno, Giacomo Bartoloni e Gonzalo Marcos)
6:15 PM Come esternalizzare i log di Mule (Giacomo Bartoloni)
6:50 PM Advanced Monitoring e Titanium (Gonzalo Marcos)
7:20 PM Q&A and Wrap Up
The document introduces Oracle Management Cloud Log Analytics, a cloud service that collects, correlates, and analyzes log data from applications and infrastructure across on-premise and cloud environments in real-time. It extracts value from logs by detecting problems early, troubleshooting issues faster, and providing operational insight. Key capabilities include topology-aware log exploration, machine learning-based pattern detection, light-touch log ingestion, and dashboards for monitoring.
Hazelcast Striim Hot Cache PresentationSteve Wilkes
Hazelcast Striim Hot Cache provides real-time, push-based propagation of changes to a Hazelcast cache from a system of record. For organizations that manage high volumes of data, Hazelcast Striim Hot Cache ensures continuous synchronization between the cache and its underlying database, providing consistency with the system of record.
In this presentation you will learn how you can use Striim Change Data Capture to ensure that your Hazelcast Cache is continuously synchronized with your database in real-time.
Here is an overview of the Bridged framework that CodeData uses to deliver data driven solutions to our customers. The Bridged framework covers all aspects of such solutions - strategy. leadership, process, technology, education and operations.
Strata+hadoop data kitchen-seven-steps-to-high-velocity-data-analytics-with d...DataKitchen
The document outlines seven steps for implementing DataOps to help analytic teams deliver insights faster with higher quality. The steps are: 1) add data and logic tests, 2) use a version control system, 3) branch and merge, 4) use multiple environments, 5) reuse and containerize components, 6) parameterize processing, and 7) use simple storage. A case study example describes how one data engineer supports 12 analysts making weekly schema changes without issues using DataOps.
How to become a visualization guru in Web IntelligenceWiiisdom
What is the chart engine used in Web Intelligence?
Learn about the CVOM chart engine
Latest chart developments and improvements:
What’s new since Web Intelligence 4.2?
Deep dive into unknown charts customization settings
Some unknown yet powerful charts settings…
Charts you did not know you could do in Web Intelligence
Examples of exotic charts you can build…
Webi4Me
The current data landscape, key trends, and the future of business intelligence and data analytics. Time to modernize your data analytics? Start your free Looker trial today.
Migrating Monitoring to Observability – How to Transform DevOps from being Re...Liz Masters Lovelace
With your Digital Transformation in full swing it’s time to transform the way you look at your systems and services. With the speed of DevOps you need your Monitoring to be faster, more agile, and more accurate. You can’t afford your systems to be down. Its time to look at monitoring from a different angle. Let’s explore looking from the top down rather than the bottom up. For more information, please reach out to Craig Haessig. CraigH@mobiuspartners.com
Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014Jaroslav Gergic
The recent boom in big data processing and democratization of the big data space has been enabled by the fact that most of the concepts originated in the research labs of companies such as Google, Amazon, Yahoo and Facebook are now available as open source. Technologies such as Hadoop, Cassandra let businesses around the world to become more data driven and tap into their massive data feeds to mine valuable insights.
At the same time, we are still at a certain stage of the maturity curve of these new big data technologies and of the entire big data technology stack. Many of the technologies originated from a particular use case and attempts to apply them in a more generic fashion are hitting the limits of their technological foundations. In some areas, there are several competing technologies for the same set of use cases, which increases risks and costs of big data implementations.
We will show how GoodData solves the entire big data pipeline today, starting from raw data feeds all the way up to actionable business insights. All this provided as a hosted multi-tenant environment letting its customers to solve their particular analytical use case or many analytical use cases for thousands of their customers all using the same platform and tools while abstracting them away from the technological details of the big data stack.
Einstein Analytics (previously known as Wave Analytics) allows developers to not only create analytics applications, but also to create application templates that allow end-users to create their own analytics applications based on your master app. You, the developer, can define parameters and rules as part of the template, allowing the end-user to customize the app to their requirements. This Dreamforce 2017 session explains how to use Analytics Templates and the Analytics External Data API to automate the ingest of data from outside the platform, manipulating datasets and dataflows to provide a seamless experience for the user.
Twilio, a developer focused communications API company uses HipChat, JIRA Software and Confluence to manage their business of 500+ people and hundreds of companies using their API's around the world. Join Dominique DeGuzman, Software Engineer and Atlassian Administrator in a talk showing how they use Add-ons to help run their business, including employee on-boarding, off-boarding, travel, and facility requests. You'll also learn how Twilio is integrating with Atlassian to handle task routing in JIRA Service Desk, and SMS for missed HipChat notifications, including escalation and approvals.
A high-level overview of LogicMonitor; the leading SaaS-based hybrid infrastructure performance monitoring solution on the market, changing the way enterprise organisations monitor dynamic, multi-cloud environments. Giving you hosted monitoring for your entire stack - servers, networks, containers, storage, applications, virtualisation, and cloud - from a single pane of glass. No dedicated servers required!
If you want to talk AIOps, automation, and where our industry is going please hit me up with a message. I want to learn about you guys and what technology means for you!
Comment transformer vos données en informations exploitablesElasticsearch
Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
Load data from Quickbook to Snowflake in minutessyed_javed
Modern data solution like Lyftron enables data governance with data catalog, data model, data definition, data lineage, tagging and enterprise data dictionary search.
Breaking Down a SQL Monolith with Change Tracking, Kafka and KStreams/KSQLconfluent
(Wanny Morellato, SAP Concur) Kafka Summit SF 2018
Monolithic architectures should become a thing of the past sooner or later—preferably, sooner, of course … However, as it usually is with shiny pictures of a perfect future outcome vs. sobering facts of the reality, moving from a monolith to microservices is sometimes easier said than done.
This talk will cover many lessons we learned during this process and how Kafka, change tracking and KSQL were successfully leveraged to break down a SQL server monolith while at the same time allowing SAP Concur to scale its backends to billions of daily transactions, enabling several new features and functionalities.
Learn how we:
-Leveraged Kafka Connect change tracking to propagate data changes out of SQL Server
-Used Kafka to provide a highly performant and horizontally scalable central nervous system for SAP Concur events
-Implemented KStreams/KSQL to perform real-time joins, aggregations, windowing and webhook integrations
The document discusses Nitai Partners' value-added Oracle Business Analytics and Endeca implementation services. It highlights their expertise in areas such as Oracle BI, Hyperion, Endeca, big data analytics, ETL/ELT, and data warehousing. The company offers rapid deployment timelines of 10-12 weeks and guarantees successful deployments and implementations through quality, timely, and reliable practices that are business-driven and follow best practices. It provides contact details to engage their services.
GoodData: The DevOps Story @ FIT CVUT October 16 2013Jaroslav Gergic
Presentation was a part of FIT CVUT / MI-AIT (Případové studie aplikace a řízení IT).
We compare the traditional organization model of separate teams for engineering, QA and operations to the DevOps model using autonomous cross-functional teams. The presentation uses GoodData as a case study.
The document discusses how data scientists need access to accurate and trustworthy data quickly in order to gain new insights. It describes challenges around assessing available data, integrating new data sources, and ensuring data quality and stewardship. The Kalido Information Engine is presented as a solution to help data scientists by allowing them to graphically model data requirements, integrate and steward new data through automated workflows, and generate results fast through a data science sandbox. Key capabilities of the Kalido Information Engine include sophisticated modeling, high performance ETL, data matching, workflow automation, and result generation.
Microsoft Integration Roadshow: Integration in ActionGarry Stewart
The document describes a technical demo that will showcase an integrated enterprise architecture using disparate data sources to power business processes. The demo will integrate plant telemetry data, production data, asset information, and product information from various on-premise and cloud systems using technologies like Azure, BizTalk, SQL Server StreamInsight, and WCF services. It also provides additional resources on these technologies.
Quarta puntata del MuleSoft Meetup di Milano - 22 Luglio 2021
Approfondiremo insieme a Giacomo che opzioni abbiamo per esternalizzare i log di Mule e con Gonzalo vedremo in dettaglio il modulo di Advanced Monitoring e le differenze fra le sottoscrizioni Platinum e Titanium.
Meetup Milano - https://meetups.mulesoft.com/events/d...
Agenda
6:00 PM Check-in e benvenuto (Caterina Bonanno, Giacomo Bartoloni e Gonzalo Marcos)
6:15 PM Come esternalizzare i log di Mule (Giacomo Bartoloni)
6:50 PM Advanced Monitoring e Titanium (Gonzalo Marcos)
7:20 PM Q&A and Wrap Up
The document introduces Oracle Management Cloud Log Analytics, a cloud service that collects, correlates, and analyzes log data from applications and infrastructure across on-premise and cloud environments in real-time. It extracts value from logs by detecting problems early, troubleshooting issues faster, and providing operational insight. Key capabilities include topology-aware log exploration, machine learning-based pattern detection, light-touch log ingestion, and dashboards for monitoring.
Oracle Log Analytics Cloud Services solution monitors, aggregates, indexes, and analyzes all log data from your applications and infrastructure (running on-premises or in the cloud). It enables users to search, explore, and correlate this data to troubleshoot problems faster and derive operational insight to make better decisions.
It's time to make a change in your core database technology. Why? Your staff are spending way too much time entering data in multiple places, you can’t easily get the land management, member, or donor information you need - the list goes on and on. However, choosing a technology is not something you’ve done often and you're not sure how best to approach it.
In this short session we can’t pick the right software for your land trust, but can help you determine the key factors and give you an approach to make the best decision.
Natuvion is a consulting company specializing in SAP solutions for utilities and digital transformation. The presentation discusses SAP Read Access Logging (RAL), a tool that allows monitoring and logging of access to sensitive data fields within SAP systems. RAL can monitor access at different levels, including user interfaces, services, and programs. Logs show which users accessed what data and provide technical access details. Implementing RAL generally takes 10-24 weeks and involves conception, configuration, testing, and rollout phases. Natuvion's services include RAL concept development, proof of concept implementations, and full realization projects.
This document introduces PagerDuty Process Automation using Rundeck. It discusses how Rundeck is a service orchestration and automation platform that PagerDuty acquired in 2020. It provides an overview of Rundeck's capabilities including 120+ plugins, event-driven workflows, auditing, and self-service access. The document discusses how Rundeck can be used to automate incident response, remediation, and other tasks to improve MTTR, support efficiency, and reduce manual work. Customer examples show how Rundeck standardizes workflows and allows non-experts to complete tasks previously requiring specialized knowledge.
Have you ever been involved in developing a strategy for loading, extracting, and managing large amounts of data in salesforce.com? Join us to learn multiple solutions you can put in place to help alleviate large data volume concerns. Our architects will walk you through scenarios, solutions, and patterns you can implement to address large data volume issues.
Breakout: Operational Analytics with HadoopCloudera, Inc.
Operationalizing models and responding to large volumes of data, fast, requires bolt on systems that can struggle with processing (transforming the data), consistency (always responding to data), and scalability (processing and responding to large volumes of data). If the data volume become too large, these traditional systems fail to deliver their responses resulting in significant losses to organizations. Join this breakout to learn how to overcome the roadblocks.
Splunk Webinar: IT Operations Demo für Troubleshooting & DashboardingGeorg Knon
This document provides an overview of Splunk's IT operations software. It discusses the challenges facing IT operations, including siloed tools and reactive problem solving. It presents Splunk as a solution, with its ability to index and analyze machine data from any source in real-time. Key benefits highlighted include faster troubleshooting to reduce downtime, proactive monitoring to address issues before they become problems, and increased operational visibility across the IT environment. The document concludes with a demonstration of Splunk's IT service intelligence capabilities.
Information Management & Governance Solutions febbraio 2018Juan Niekerk
The document provides an agenda and overview for a Micro Focus IMS Partner enablement event. The agenda includes welcome and introductions, information on Micro Focus's channel news and business model, licensing models, product demonstrations of Data Protector, VM Explorer, and endpoint backup solutions, GDPR solutions overview, and a Q&A session. The document also includes information on Micro Focus's combined company and portfolio following its merger with HPE Software, as well as its software partner program levels and resources available to partners.
This document summarizes announcements from a keynote presentation about server and data center products. It highlights new features for improving agility, developer productivity, and scaling including tools for agile workflows across enterprises. It also outlines upcoming integrations and enhancements for performance, availability, and management capabilities.
1. The presentation provides an overview of Splunk and how it can be used to access, analyze, and gain insights from machine data.
2. It demonstrates Splunk's core capabilities like universal data ingestion, schema-on-the-fly indexing, and fast search capabilities.
3. The presentation concludes with a demo of Splunk's interface and basic functions like searching, field extraction, alerting, and reporting.
The document discusses how big data and analytics can transform businesses. It notes that the volume of data is growing exponentially due to increases in smartphones, sensors, and other data producing devices. It also discusses how businesses can leverage big data by capturing massive data volumes, analyzing the data, and having a unified and secure platform. The document advocates that businesses implement the four pillars of data management: mobility, in-memory technologies, cloud computing, and big data in order to reduce the gap between data production and usage.
Analytic Excellence - Saying Goodbye to Old ConstraintsInside Analysis
The Briefing Room with Dr. Robin Bloor and Actian
Live Webcast August 6, 2013
http://www.insideanalysis.com
With all the innovations in compute power these days, one of the hardest hurdles to overcome is the tendency to think in old ways. By and large, the processing constraints of yesterday no longer apply. The new constraints revolve around the strategic management of data, and the effective use of business analytics. How can your organization take the helm in this new era of analysis?
Register for this episode of The Briefing Room to find out! Veteran Analyst Wayne Eckerson of The BI Leadership Forum, will explain how a handful of key innovations has significantly changed the game for data processing and analytics. He'll be briefed by John Santaferraro of Actian, who will tout his company's unique position in "scale-up and scale-out" for analyzing data.
Improve Data Protection and Compliance with UI-Level Logging and MaskingPatric Dahse
For more info about how Natuvion can help with GDPR, visit us on our site: https://natuvion-gdpr.com/
This session highlights two solutions from SAP that can help you increase protection from data theft, and support corporate efforts to comply e.g. with General Data Protection Regulation (GDPR).
Discover how you can benefit from enhanced data access logging and field masking, see the systems in action and get answers to questions around prerequisites, implementation, and operation!
2019 Performance Monitoring and Management Trends and InsightsOpsRamp
Join 451 Research's Senior Analyst Nancy Gohring and OpsRamp's Vice President of Marketing Darren Cunningham as they discuss the latest trends in IT monitoring and management.
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To learn more, visit https://www.opsramp.com/about-opsramp...
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more -
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
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Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management.
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Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
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https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
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https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
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Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
How Lockheed Martin Reduced Cost, Increased Automation and Improved Visibility for Self-Service Reporting
1. How Lockheed Martin Reduced Cost,
Increased Automation and Improved
Visibility for Self-Service Reporting
Bonnie Crow
Information Technology Project Manager
Lockheed Martin
2. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 2
Lockheed Martin Business Structure
2
3. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 3
Missiles and Fire Control Products and Services
3
4. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 4
Missiles and Fire Control Workforce
4
5. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 5
Content
•Improved Visibility for Self-Service Reporting
•Increased Automation
Reduced Cost
7. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 7
Project Data Sheet for Self-Service Enablement
Utilization, lineage, impact
analysis, security analysis, and
scheduling are both manual and
time consuming
Eliminate manual lineage
reporting, enable faster security
analysis, enable agile impact
analysis & regression testing
Business Problem Remediation Opportunity
1. Visibility to user metrics
2. Visibility to lineage
3. Self-service adoption
4. Reuse of data models
5. Minimize impact to users
Business Benefit
1. Automated Process / Metrics
2. Faster self-service results
3. Visibility to report components
4. Visibility to data sources
5. Reduced impact with change
Success Factors
8. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 8
Goals
•Provide
reusable
information to
the self-
service user
Show the
increase of
users utilizing
self-service
Show
increase in
self-service
reporting /
analytics
9. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 9
Improved Visibility of Self-Service Users
Self-Service Users Published ReportsSelf-Service Reports
10. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 10
Manual to Automated Report
Manual
queries
Massage
data
Load
results
into a DB
Run report
Report Name
Data Owner
Report and Directory
Report Author
Universe Source List
Universe/Owner/Folder
Universe Last Updated
Universe Developer(s)
Report Content
Run report
Without 360Suite = 3 days
With 360Suite = Seconds
11. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 11
OUR CURRENT
TOP 360SUITE
REPORTS
USED
Additional Reports Used
Users and groups with report authorization
Users in Administrator group
Inactive users and Inactive reports
List of expiring passwords
Most used report(s)
Failed scheduled reports
Impact analysis on reports
12. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 12
Use Case: Manual Scheduling
14. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 14
Results: Increased Automation in Scheduling
• Estimated time to create reports without 360Cast:
1,000 reports
x 1.5 minutes per report
1,500 minutes (25 hours)
• Actual time to create reports with 360Cast:
15 minutes to create destination list
+ (1,000 reports x 1.385 seconds per report)
38 minutes
15. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 15
Summary
• Automation improved expedient visibility
• Visibility increased reuse of data models
• Visibility increased adoption by self-service user
• Visibility enabled single version of truth
• Visibility enabled faster executive reporting
• Automation in scheduling reduced time and cost
16. LOCKHEED MARTIN PROPRIETARY INFORMATIONPresentation Name or Footer (Optional) 16
EXPECT
TO SAVE
2/3 TIME
TO REMAP
UNIVERSE FIELDS
TO CALC VIEW
FIELDS
What’s Next
• Upgrade to HANA 2.0
• Simplify field remapping within Universes (IDT)
• Upgrade Business Objects 4.2 SP2 to SP7
• Regression testing
• Impact analysis
• Security analysis
• Automate Data Services Audit Reports –
360Suite for DS
• Failed jobs
• Longest running job(s)
• List of all scheduled jobs & POCs