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The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
Chapter 2Data Governance and IT Architecture Support Long-Term
Chapter 2
Data Governance and IT Architecture Support Long-Term Performance
Prepared by Dr. Derek Sedlack, South University
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Learning Objectives
Enterprise Architecture and Data Governance
Information Systems: The Basics
Data Centers, Cloud Computing, and Virtualization
Cloud Services Add Agility
Information Management
Information Management
INFORMATION MANAGEMENT HARNESSES SCATTERED DATA
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Information Management
The use of IT tools and methods to collect, process, consolidate, store, and secure data from sources that are often fragmented and inconsistent.
Why a continuous plan is needed to guide, control, and govern IT growth.
Information management is critical to data security and compliance with continually evolving regulatory requirements, such as the Sarbanes-Oxley Act, Basel III, the Computer Fraud and Abuse Act (CFAA), the USA PATRIOT Act, and the Health Insurance Portability and Accountability Act (HIPAA).
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Data Silos
Stand alone data stores not accessible by other information systems that need data, cannon consistently be updated.
Exist from a lack of IT architecture, only support single functions, and do not support cross-functional needs.
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Key Performance Indicators (KPIs)
These measures demonstrate the effectiveness of a business process at achieving organizational goals.
Present data in easy-to-comprehend and comparison-ready formats.
KPI examples: current ratio; accounts payable turnover; net profit margin; new followers per week; cost per lead; order status.
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Chapter 2
Figure 2.4 Data (or information) silos are ISs that do not have the capability to
exchange data with other ISs, making timely coordination and communication across
functions or departments difficult.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Reasons information deficiencies are still a problem
Data Silos
Lost of bypassed data
Poorly designed interfaces
Nonstandardized data formats
Cannot hit moving targets
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Chapter 2
Figure 2.5 Factors that are increasing demand for collaboration technology.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Global, mobile workforce
62% of the workforce works outside an office at some point. This number is increasing.
Mobility-driven consumerization
Growing number of cloud collaboration services.
Principle of “any”
Growing need to connect anybody, anytime, anywhere on any device
Information Ma ...
Chapter 2Data Governance and IT Architecture Support Long-Term.docx
Chapter 2
Data Governance and IT Architecture Support Long-Term Performance
Prepared by Dr. Derek Sedlack, South University
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Learning Objectives
Enterprise Architecture and Data Governance
Information Systems: The Basics
Data Centers, Cloud Computing, and Virtualization
Cloud Services Add Agility
Information Management
Information Management
INFORMATION MANAGEMENT HARNESSES SCATTERED DATA
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Information Management
The use of IT tools and methods to collect, process, consolidate, store, and secure data from sources that are often fragmented and inconsistent.
Why a continuous plan is needed to guide, control, and govern IT growth.
Information management is critical to data security and compliance with continually evolving regulatory requirements, such as the Sarbanes-Oxley Act, Basel III, the Computer Fraud and Abuse Act (CFAA), the USA PATRIOT Act, and the Health Insurance Portability and Accountability Act (HIPAA).
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Data Silos
Stand alone data stores not accessible by other information systems that need data, cannon consistently be updated.
Exist from a lack of IT architecture, only support single functions, and do not support cross-functional needs.
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Key Performance Indicators (KPIs)
These measures demonstrate the effectiveness of a business process at achieving organizational goals.
Present data in easy-to-comprehend and comparison-ready formats.
KPI examples: current ratio; accounts payable turnover; net profit margin; new followers per week; cost per lead; order status.
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Chapter 2
Figure 2.4 Data (or information) silos are ISs that do not have the capability to
exchange data with other ISs, making timely coordination and communication across
functions or departments difficult.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Reasons information deficiencies are still a problem
Data Silos
Lost of bypassed data
Poorly designed interfaces
Nonstandardized data formats
Cannot hit moving targets
Chapter 2
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Information Management
Chapter 2
Figure 2.5 Factors that are increasing demand for collaboration technology.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Global, mobile workforce
62% of the workforce works outside an office at some point. This number is increasing.
Mobility-driven consumerization
Growing number of cloud collaboration services.
Principle of “any”
Growing need to connect anybody, anytime, anywhere on any device
Information Ma ...
Module 1 the power of data
This module provides an overview of big data and how it can be used to drive business growth and profitability. It defines key terms related to data, discusses the importance of data volume, velocity, variety and value. It explains how businesses can turn big data into smart data by adding intelligence and insights. The module also outlines benefits of data for businesses such as product innovation, process improvements and optimizing operations based on data analytics.
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docx
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Watch full webinar here: https://buff.ly/3vhzqL5
Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth.
This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.
Veritas-Information-Governance-Solution-Brochure-EN
Veritas provides information governance solutions to help organizations gain visibility into their information footprint, take action to address risks, and assume control over information through effective policies and automation. The portfolio includes Information Map for visualizing unstructured data, Data Insight for file classification and risk analysis, Enterprise Vault for archiving and retention, and eDiscovery Platform for efficient legal review. Integration between the products supports automated workflows to reduce risk and costs from unmanaged data growth.
An Encyclopedic Overview Of Big Data Analytics
This document provides an overview of big data analytics. It discusses the characteristics of big data, known as the 5 V's: volume, velocity, variety, veracity, and value. It describes how Hadoop has become the standard for storing and processing large datasets across clusters of servers. The challenges of big data are also summarized, such as dealing with the speed, scale, and inconsistencies of data from a variety of structured and unstructured sources.
Big Data Analytics_Unit1.pptx
Here are the answers to the assignment questions:
1. Big data refers to huge volumes of both structured and unstructured data that is so large in size and complex that traditional data processing applications are inadequate to deal with it.
2. The three main types of data are:
- Structured data: Data that is organized and has a predefined data model e.g. numbers in a database. Sources include CRM systems, transactions etc.
- Semi-structured data: Data that has some structure but not fully structured e.g. log files, XML files. Sources include sensors, images, audio/video etc.
- Unstructured data: Data with no predefined structure e.g. text, emails. Sources include
What is Big Data - Edvicon
Unlock the potential of Big Data with Edvicon. Learn the benefits of harnessing vast information, from our expert instructors. Gain valuable insights and make data-driven decisions for future success.
visit us-https://edvicon.in/
Qlik wp 2021_q3_data_governance_in_the_modern_data_analytics_pipeline
The document discusses how to manage data quality and security in modern data analytics pipelines. It notes that while speed is a priority, it introduces risks to quality and security. It then describes key elements of modern, efficient data pipelines including identifying, gathering, transforming, and delivering data. It emphasizes the importance of data quality, profiling, filtering, standardization, and automation. It also stresses the importance of data security across the pipeline through authentication, access controls, encryption, and governance. Finally, it discusses how data catalogs and automation can help achieve successful governance.
Sgcp14dunlea
The document discusses how utilities are increasingly collecting and generating large amounts of data from smart meters and other sensors. It notes that utilities must learn to leverage this "big data" by acquiring, organizing, and analyzing different types of structured and unstructured data from various sources in order to make more informed operational and business decisions. Effective use of big data can help utilities optimize operations, improve customer experience, and increase business performance. However, most utilities currently underutilize data analytics capabilities and face challenges in integrating diverse data sources and systems. The document advocates for a well-designed data management platform that can consolidate utility data to facilitate deeper analysis and more valuable insights.
Group 2 Handling and Processing of big data (1).pptx
This document outlines techniques for handling and processing big data. It begins by defining big data and explaining why it is important to handle large volumes of diverse data generated at high speeds. Some key points covered include:
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- Techniques for handling big data including securing data, keeping backups, linking data between systems, and adapting to new technologies.
- The need to preprocess big data by cleaning, integrating, reducing and discretizing data to improve quality before analysis.
- Examples of big data analysis techniques including market basket analysis and examples using tools like Pandas, Scikit-Learn, R and Apache OpenNLP
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Defining and Applying Data Governance in Today’s Business Environment
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Veritas Vision Solution Day 2020, Istanbul, Turkey
Here are the data management presentations that were delivered during the Veritas Vision Solution Day 2020, Istanbul, Turkey. Note that the content is in Turkish.
Experience Data Management Clarity with Veritas - VMworld 2019 Presentation
Data Management Insights
Data visibility is achieved with Information Studio, which can ingest and visually render data from more than 30 sources including NetBackup, MS OneDrive, MS SharePoint, CIFs shares, etc., then take action on that data such as tiering or deleting.
The Veritas Information Classifier is included in every key technology across our information governance offerings and enables organizations to easily apply data management policies to help meet key regulatory requirements such as required by GDPR, Sarbanes Oxley, HIPAA, SEC, CCPA.
Users can quickly eliminate dark data and gain key insights like what data you have, who has access to it, whether it’s stale and can be tiered to lower cost storage, whether it’s PII data.
We apply this technology across the portfolio, including in enterprise archiving, where we’ve developed marketshare leadership. More details in this presentation.
How to Extend Availability to the Application Layer Across the Hybrid Cloud -...
How to Extend Availability to the Application Layer Across the Hybrid Cloud -...Veritas Technologies LLC
We are experiencing IT climate change. Inundated we are, daily, with a barrage of “Cloud-ready” solutions that promise to transform, supercharge or in some other way substantial improve your business. Truth is, we’ve all seen this movie before and there is no ending, only a story arch. Technologies come and go and our ability to maximize the return on these solutions is what we makes for a successful adoption. Ask yourself, with all of the promise of the public cloud, how much is hype vs. reality. More details in the presentation.
Get trust and confidence to manage your data in hybrid it environments japanese
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The joint presentation session on Get trust and confidence to manage your data in hybrid-IT environments! with Mr Matsumoto, VP Fujitsu Cloud Service, Mr Takenoshita who is our end user, and Ryuta Takai, Director, Technology Sales of Veritas at Fujitsu Forum 2019 Tokyo on 17 May 2019.VSD Madrid 2019
El documento presenta una introducción a Veritas Technologies y sus soluciones de gestión de datos. Resume los principales puntos como su liderazgo en el mercado de protección de datos con más de 500 patentes registradas, presencia internacional, y asociaciones con socios tecnológicos. También destaca las capacidades de sus productos como NetBackup para proteger cargas de trabajo tradicionales y modernas en entornos locales, virtualizados y en la nube, y soluciones de almacenamiento definido por software.
VSD Istanbul 2018
The document outlines the agenda for a Veritas event in Turkey on data management. The event will include opening remarks, presentations on controlling valuable data assets and modernizing data protection infrastructure, a customer panel discussing the transition from traditional to next-generation data management, and breakout sessions. Presenters will discuss simplifying operations, driving efficiencies through data insights, supporting new workloads, and modernizing protection architectures. The event aims to help organizations better manage, protect, and leverage their data.
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This presentation from Vision Solution Day Paris is about the use case of Veritas within Telco Services.
VSD Paris 2018: Vertical Use Case - Public Sector
This presentation from Vision Solution Day Paris is about how Veritas Technologies can help professionals in the public sector.
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VSD Paris 2018: Vertical Use Case - Banking, Finance, Insurance
This presentation from Vision Solution Day Paris is about the new challenges in the world of banking, finance, and insurance.
VSD Paris 2018 - Présentation Finale
This document appears to be from a Veritas Technologies event and contains various presentations and discussions about data management challenges faced by businesses. Some key points:
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- IT is having to rapidly adapt to demands like agility, scalability, availability, and extracting value from data.
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VSD Zurich 2018: The Data Opportunity
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(3) The document promotes Veritas as a company that can help organizations address data challenges including ransomware, storage costs, compliance, business continuity, and harnessing insights from big data and the cloud.
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Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications."Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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