Dear Reader, this book is designed to provide you the necessary insights to move beyond simply storing data and into creating a framework under which data can be intelligently governed for the length of time it has value to your business or regulations require it to be kept (whichever is greater).
We hope you find this book insightful — allowing you and your
organization to accelerate your ability to enact intelligent data
governance.
20 things I wish I had known about modern product development by Andy Birds -...Andy Birds
This document provides 20 tips for modern product development:
1. Focus on solving customer problems rather than talking about methodologies.
2. Dream long-term but plan and evaluate in shorter cycles. Continuously ship work.
3. Focus on outcomes that change customer behavior and drive business impact, not just outputs.
4. Thoroughly understand the problem before solving it. Get customer input to ensure solving the right problem.
Linking Data Governance to Business GoalsPrecisely
This document discusses linking data governance to business goals. It begins with an example of a typical governance program that loses business support over time. It then advocates taking a business-first approach to accelerate programs and increase ROI. Successful programs link governance to business goals, outcomes, stakeholders and capabilities. The document provides examples of how different business goals map to governance objectives and capabilities. It emphasizes quantifying value at strategic, operational and tactical levels. Finally, it discusses Jean-Paulotte Group's Chief Data Officer implementing a working approach driven by business value through an iterative process between a Data Management Committee and Working Groups.
This document discusses key concepts related to databases and business intelligence. It defines common terms like databases, records, fields, and entities. It explains how relational database management systems (RDBMS) represent data in tables and allow querying, manipulation, and reporting of data through SQL. It also discusses data warehousing, analytics tools, data mining, and ensuring high quality data. The goal is to provide organizations with tools and technologies to access information from databases and improve business performance.
Ungagged 2015 Las Vegas 17 SEO, Conversion & Monetization TemplatesRoland Frasier
This is my presentation from Ungagged 2015 live event in Las Vegas. It provides 17 proven templates that we used to add millions of dollars in revenue to our businesses in 2015.
This document discusses Saxo Bank's plans to implement a data governance solution called the Data Workbench. The Data Workbench will consist of a Data Catalogue and Data Quality Solution to provide transparency into Saxo's data ecosystem and improve data quality. The Data Catalogue will be built using LinkedIn's open source DataHub tool, which provides a metadata search and UI. The Data Quality Solution will use Great Expectations to define and monitor data quality rules. The document discusses why a decentralized, domain-driven approach is needed rather than a centralized solution, and how the Data Workbench aims to establish governance while staying lean and iterative.
Asegurando la calidad del dato en mi entorno de business intelligenceMary Arcia
El aseguramiento de la calidad de datos es el proceso que más demanda tiempo, gente y dinero dentro de nuestros proyectos de BI. Entendiendo el efecto clave en el proceso de la toma de decisiones que genera el” business intelligence”, no puede tratarse la calidad de los datos como un proceso tardío. En esta sesión vamos a conocer cómo tras una metodología de calidad de datos, los servicios de Data Quality Services de Microsoft SQL Server nos ayuda en este proceso de ahorrar tiempo y garantizar datos sanos y correctos para nuestros sistemas de BI.
- Data observability is important for Spotify because they process massive amounts of data from 8 million events per second.
- To ensure observability, Spotify annotates and documents their data schemas, monitors pipeline execution times and counts to check for errors, monitors financial costs of pipelines and storage, and sets up alerts and dashboards to monitor for failures.
- Having good data observability helps Spotify understand where their data is coming from and going, troubleshoot issues quickly, and ensure royalty payments to artists are accurate since they rely on the data pipelines.
Convincing Stakeholders Data Governance Is EssentialDATAVERSITY
Organizations are investing heavily in becoming data-centric. Data Governance practitioners must begin to deploy effective Data Governance techniques to support these investments. One of these techniques is to tackle the problem of convincing stakeholders that Data Governance is necessary. This webinar will help you address that challenge.
Join Bob Seiner for this RWDG webinar, where he will provide three questions that must be answered thoroughly and honestly from a business and technical perspective. The answers to these questions will provide practitioners with the artillery needed to break down barriers preventing the organization from being convinced that the time is right to formalize Data Governance.
This webinar will focus on:
- Identifying the stakeholders that must be convinced
- The three questions that must be asked of the stakeholders
- What answers you should expect to receive
- The answers that may surprise you
- Using the answers to convince stakeholders that Data Governance is necessary
20 things I wish I had known about modern product development by Andy Birds -...Andy Birds
This document provides 20 tips for modern product development:
1. Focus on solving customer problems rather than talking about methodologies.
2. Dream long-term but plan and evaluate in shorter cycles. Continuously ship work.
3. Focus on outcomes that change customer behavior and drive business impact, not just outputs.
4. Thoroughly understand the problem before solving it. Get customer input to ensure solving the right problem.
Linking Data Governance to Business GoalsPrecisely
This document discusses linking data governance to business goals. It begins with an example of a typical governance program that loses business support over time. It then advocates taking a business-first approach to accelerate programs and increase ROI. Successful programs link governance to business goals, outcomes, stakeholders and capabilities. The document provides examples of how different business goals map to governance objectives and capabilities. It emphasizes quantifying value at strategic, operational and tactical levels. Finally, it discusses Jean-Paulotte Group's Chief Data Officer implementing a working approach driven by business value through an iterative process between a Data Management Committee and Working Groups.
This document discusses key concepts related to databases and business intelligence. It defines common terms like databases, records, fields, and entities. It explains how relational database management systems (RDBMS) represent data in tables and allow querying, manipulation, and reporting of data through SQL. It also discusses data warehousing, analytics tools, data mining, and ensuring high quality data. The goal is to provide organizations with tools and technologies to access information from databases and improve business performance.
Ungagged 2015 Las Vegas 17 SEO, Conversion & Monetization TemplatesRoland Frasier
This is my presentation from Ungagged 2015 live event in Las Vegas. It provides 17 proven templates that we used to add millions of dollars in revenue to our businesses in 2015.
This document discusses Saxo Bank's plans to implement a data governance solution called the Data Workbench. The Data Workbench will consist of a Data Catalogue and Data Quality Solution to provide transparency into Saxo's data ecosystem and improve data quality. The Data Catalogue will be built using LinkedIn's open source DataHub tool, which provides a metadata search and UI. The Data Quality Solution will use Great Expectations to define and monitor data quality rules. The document discusses why a decentralized, domain-driven approach is needed rather than a centralized solution, and how the Data Workbench aims to establish governance while staying lean and iterative.
Asegurando la calidad del dato en mi entorno de business intelligenceMary Arcia
El aseguramiento de la calidad de datos es el proceso que más demanda tiempo, gente y dinero dentro de nuestros proyectos de BI. Entendiendo el efecto clave en el proceso de la toma de decisiones que genera el” business intelligence”, no puede tratarse la calidad de los datos como un proceso tardío. En esta sesión vamos a conocer cómo tras una metodología de calidad de datos, los servicios de Data Quality Services de Microsoft SQL Server nos ayuda en este proceso de ahorrar tiempo y garantizar datos sanos y correctos para nuestros sistemas de BI.
- Data observability is important for Spotify because they process massive amounts of data from 8 million events per second.
- To ensure observability, Spotify annotates and documents their data schemas, monitors pipeline execution times and counts to check for errors, monitors financial costs of pipelines and storage, and sets up alerts and dashboards to monitor for failures.
- Having good data observability helps Spotify understand where their data is coming from and going, troubleshoot issues quickly, and ensure royalty payments to artists are accurate since they rely on the data pipelines.
Convincing Stakeholders Data Governance Is EssentialDATAVERSITY
Organizations are investing heavily in becoming data-centric. Data Governance practitioners must begin to deploy effective Data Governance techniques to support these investments. One of these techniques is to tackle the problem of convincing stakeholders that Data Governance is necessary. This webinar will help you address that challenge.
Join Bob Seiner for this RWDG webinar, where he will provide three questions that must be answered thoroughly and honestly from a business and technical perspective. The answers to these questions will provide practitioners with the artillery needed to break down barriers preventing the organization from being convinced that the time is right to formalize Data Governance.
This webinar will focus on:
- Identifying the stakeholders that must be convinced
- The three questions that must be asked of the stakeholders
- What answers you should expect to receive
- The answers that may surprise you
- Using the answers to convince stakeholders that Data Governance is necessary
Using Redmine for Project Management @promptloudPromptCloud
Redmine is a great open-source software. Convenient for small businesses and enterprises, it can do much more. Here's how we, at PromptCloud, use Redmine to build a great project management tool.
PromptCloud is a DaaS provider offering data crawling, extraction and Twitter crawling services.
SETUP IMPRESCINDIBLE para gestionar Proyecto SEO de forma EficienteSergio Simarro
Ser un@ buen@ profesional SEO no garantiza el éxito de los proyectos en los que trabajamos.
Sin embargo nunca tiene que quedar en evidencia el trabajo realizado, el conocimiento aportado y la predisposición empleada.
Te voy a contar cuál es mi configuración de trabajo que me permite cometer el mínimo número posible de errores.
El alcanzar resultados, ya depende de Google, los enlaces o de que tu competencia no siga esta metodología que te cuento ;)
Data Privacy in the DMBOK - No Need to Reinvent the WheelDATAVERSITY
World wide, Data Privacy laws are increasing. Customers are increasingly aware, and concerned, about how data is processed. The Chief Privacy Officer is (or should be) a key stakeholder for many Data Governance initiatives, and new terms like “Privacy by Design” and “Privacy Engineering” are entering our conversations with peers. Non-EU organizations selling into the EU will soon have to comply with EU Data Privacy laws. However, data professionals who take a structured, principles based approach, to building their Data Privacy capabilities stand a better chance of sustainable success than those who don’t. Rather than reinventing the wheel, organizations should look at how the DMBOK framework, in conjunction with other approaches and methods, can provide a robust platform for Data Privacy initiatives in their organizations.
The document summarizes software project management using the tool Redmine. It discusses the challenges of managing software projects including requirement management, communication, and knowledge capture. It then outlines the typical software development flow from initial requirements to deployment. Redmine is introduced as a tool to help with issue management, documentation, wikis, source control integration, and time tracking to assist teams in software project management.
A talk about TCP, UDP, IP, DNS, ISP, GET, URI, URN, URL, SSL, TLS, TTFB, HTTP/2, HTML and DOM, or, in translation, a talk about the internet, how requests travel through the network and how browsers handle the response.
This has been originally presented during BrightonSEO - Summer 2021.
Small Tasks Make Big Changes - Shmulik Dorinbaum.pptxShmulik Dorinbaum
My talk from BrightonSEO 2022 was about taking the whole “BIG SEO PROCESS” and cutting it into small tasks so the SEO process will be better, more accurate, and easier to execute.
Hreflang tags: everything you need to know to start implementing themSara Moccand-Sayegh
The takeaway:
1. Why/What/How of hreflang
2. Some examples of practical application
3. Canonical VS hreflang
4. Common hreflang mistakes
5. Is hreflang a ranking factor?
[Brighton SEO] Audience Intelligence & SEO: How to integrate data sources to ...Rory Hope
Rory will share details about how SEOs can integrate different data sources to develop SEO personas at a keyword level which help to enhance the effectiveness of an SEO strategy. Learn how to use emerging audience intelligence technologies, Google Analytics, CRM, web monitoring and social listening tools to improve and modernise your approach to SEO, content marketing and digital PR.
The Content & Buyer Show: Let's Map #WTSFestRejoice Ojiaku
Do you sometimes find it difficult to create targeted content for a specific point in your buyer's journey? Well, maybe you are not using the right content. In this talk, we go through the different content formats there are and how those can be mapped to a specific buyer's journey.
Everyone wants to talk about advanced SEO as if it's a set of unique tactics. It's not. Advanced SEO is about recognizing Google's role in the search world, reducing abstraction, and making real fixes. In this presentation, Ian Lurie walks you through what "advanced" really looks like.
The document discusses Apache Atlas, an open source project aimed at solving data governance challenges in Hadoop. It proposes Atlas to provide capabilities like data classification, metadata exchange, centralized auditing, search and lineage tracking, and security policies. The architecture would involve a type system to define metadata, a graph database to store metadata, and search and lineage functionality. A governance certification program is also proposed to ensure partner solutions integrate well with Atlas and Hadoop.
1. The document discusses best practices for managing research data over the data life cycle, from collection through sharing and archiving. It provides tips for organizing, documenting, and storing data in sustainable file formats and naming conventions. Following best practices helps ensure usability, reproducibility, and long-term access to research data.
2. Specific best practices covered include using consistent organization, standardized naming and formats, descriptive filenames, quality assurance, scripting for processing, documenting file contents, and choosing open file formats. The document also addresses data security, backup, and storage considerations.
3. Managing data properly is important for reuse and sharing data with others now or in the future. Scripting helps capture data workflows for reproducibility.
OpenBOM: Neo4j and Bill of Materials meetup, BostonOleg Shilovitsky
OpenBOM is using Neo4j to build global graph relationships, to provide structural queries and glean intelligence for decision making in engineering, manufacturing and supply chain.
Check more information on our website - www.openbom.com
Rendering SEO Manifesto - Why we need to go beyond JavaScript SEOOnely
Want to make sure that your content gets properly accessed by search engines and ranks high? Look no further! In this beginner-friendly introduction to batch-optimized rendering, Bartosz will guide you through how Google is rendering websites on a large scale. You’ll gain groundbreaking insights based on Google’s patents and documentation. Join Bartosz to get a new perspective on technical SEO and use it to get more traffic!
The Role of Data Governance in a Data StrategyDATAVERSITY
A Data Strategy is a plan for moving an organization towards a more data-driven culture. A Data Strategy is often viewed as a technical exercise. A modern and comprehensive Data Strategy addresses more than just the data; it is a roadmap that defines people, process, and technology. The people aspect includes governance, the execution and enforcement of authority, and formalization of accountability over the management of the data.
In this RWDG webinar, Bob Seiner will share where Data Governance fits into an effective Data Strategy. As part of the strategy, the program must focus on the governance of people, process, and technology fixated on treating and leveraging data as a valued asset. Join us to learn about the role of Data Governance in a Data Strategy.
Bob will address the following in this webinar:
- A structure for delivery of a Data Strategy
- How to address people, process, and technology in a Data Strategy
- Why Data Governance is an important piece of a Data Strategy
- How to include Data Governance in the structure of the policy
- Examples of how governance has been included in a Data Strategy
This presentation was given at Ezra Firestone's Blue Ribbon Mastermind in August, 2017, in Austin, Texas. It covers leverage and how to grow your business and scale your business using leverage and several tools I developed including the Leverage Mapping Canvas, the Business Growth Idea Score Card and the Business Growth Matrix.
The document provides an overview of Dan Olsen's background in engineering, product management, and as the founder of a Lean Product Meetup group. It discusses key concepts for building the right product like determining customer needs, defining a value proposition, and creating a minimum viable product (MVP). Specific frameworks are presented for identifying underserved needs, prioritizing features, mapping benefits to features, and calculating the opportunity score of potential product ideas. The document emphasizes the importance of testing products with customers throughout the development process.
Data Mesh in Azure using Cloud Scale Analytics (WAF)Nathan Bijnens
This document discusses moving from a centralized data architecture to a distributed data mesh architecture. It describes how a data mesh shifts data management responsibilities to individual business domains, with each domain acting as both a provider and consumer of data products. Key aspects of the data mesh approach discussed include domain-driven design, domain zones to organize domains, treating data as products, and using this approach to enable analytics at enterprise scale on platforms like Azure.
This document provides an introduction to Big Data and Analytics (BD&A). It discusses the three key attributes of Big Data: volume, velocity, and variety. Volume refers to the large amounts of data involved, often terabytes to petabytes. Velocity refers to the speed at which data moves and is analyzed. Variety means data can come in many different forms both structured and unstructured. The document introduces some common types of analytics and explains the business need for BD&A in terms of competitive advantage, return on investment, and improved customer experience. It stresses the importance of BD&A infrastructure to enable a successful BD&A solution and discusses an approach for planning and implementing infrastructure.
Big Data Management For Dummies InformaticaFiona Lew
This document is the introduction chapter of the book "Big Data Management For Dummies, Informatica Special Edition". It provides an overview of the book and its purpose. The book aims to provide a solution to struggling big data projects through the concept of big data management. Big data management is based on three pillars - integration, governance, and security - which provide processes and technologies to ensure data is clean, governed, and secure in order to discover insights and deliver business value from big data projects.
Using Redmine for Project Management @promptloudPromptCloud
Redmine is a great open-source software. Convenient for small businesses and enterprises, it can do much more. Here's how we, at PromptCloud, use Redmine to build a great project management tool.
PromptCloud is a DaaS provider offering data crawling, extraction and Twitter crawling services.
SETUP IMPRESCINDIBLE para gestionar Proyecto SEO de forma EficienteSergio Simarro
Ser un@ buen@ profesional SEO no garantiza el éxito de los proyectos en los que trabajamos.
Sin embargo nunca tiene que quedar en evidencia el trabajo realizado, el conocimiento aportado y la predisposición empleada.
Te voy a contar cuál es mi configuración de trabajo que me permite cometer el mínimo número posible de errores.
El alcanzar resultados, ya depende de Google, los enlaces o de que tu competencia no siga esta metodología que te cuento ;)
Data Privacy in the DMBOK - No Need to Reinvent the WheelDATAVERSITY
World wide, Data Privacy laws are increasing. Customers are increasingly aware, and concerned, about how data is processed. The Chief Privacy Officer is (or should be) a key stakeholder for many Data Governance initiatives, and new terms like “Privacy by Design” and “Privacy Engineering” are entering our conversations with peers. Non-EU organizations selling into the EU will soon have to comply with EU Data Privacy laws. However, data professionals who take a structured, principles based approach, to building their Data Privacy capabilities stand a better chance of sustainable success than those who don’t. Rather than reinventing the wheel, organizations should look at how the DMBOK framework, in conjunction with other approaches and methods, can provide a robust platform for Data Privacy initiatives in their organizations.
The document summarizes software project management using the tool Redmine. It discusses the challenges of managing software projects including requirement management, communication, and knowledge capture. It then outlines the typical software development flow from initial requirements to deployment. Redmine is introduced as a tool to help with issue management, documentation, wikis, source control integration, and time tracking to assist teams in software project management.
A talk about TCP, UDP, IP, DNS, ISP, GET, URI, URN, URL, SSL, TLS, TTFB, HTTP/2, HTML and DOM, or, in translation, a talk about the internet, how requests travel through the network and how browsers handle the response.
This has been originally presented during BrightonSEO - Summer 2021.
Small Tasks Make Big Changes - Shmulik Dorinbaum.pptxShmulik Dorinbaum
My talk from BrightonSEO 2022 was about taking the whole “BIG SEO PROCESS” and cutting it into small tasks so the SEO process will be better, more accurate, and easier to execute.
Hreflang tags: everything you need to know to start implementing themSara Moccand-Sayegh
The takeaway:
1. Why/What/How of hreflang
2. Some examples of practical application
3. Canonical VS hreflang
4. Common hreflang mistakes
5. Is hreflang a ranking factor?
[Brighton SEO] Audience Intelligence & SEO: How to integrate data sources to ...Rory Hope
Rory will share details about how SEOs can integrate different data sources to develop SEO personas at a keyword level which help to enhance the effectiveness of an SEO strategy. Learn how to use emerging audience intelligence technologies, Google Analytics, CRM, web monitoring and social listening tools to improve and modernise your approach to SEO, content marketing and digital PR.
The Content & Buyer Show: Let's Map #WTSFestRejoice Ojiaku
Do you sometimes find it difficult to create targeted content for a specific point in your buyer's journey? Well, maybe you are not using the right content. In this talk, we go through the different content formats there are and how those can be mapped to a specific buyer's journey.
Everyone wants to talk about advanced SEO as if it's a set of unique tactics. It's not. Advanced SEO is about recognizing Google's role in the search world, reducing abstraction, and making real fixes. In this presentation, Ian Lurie walks you through what "advanced" really looks like.
The document discusses Apache Atlas, an open source project aimed at solving data governance challenges in Hadoop. It proposes Atlas to provide capabilities like data classification, metadata exchange, centralized auditing, search and lineage tracking, and security policies. The architecture would involve a type system to define metadata, a graph database to store metadata, and search and lineage functionality. A governance certification program is also proposed to ensure partner solutions integrate well with Atlas and Hadoop.
1. The document discusses best practices for managing research data over the data life cycle, from collection through sharing and archiving. It provides tips for organizing, documenting, and storing data in sustainable file formats and naming conventions. Following best practices helps ensure usability, reproducibility, and long-term access to research data.
2. Specific best practices covered include using consistent organization, standardized naming and formats, descriptive filenames, quality assurance, scripting for processing, documenting file contents, and choosing open file formats. The document also addresses data security, backup, and storage considerations.
3. Managing data properly is important for reuse and sharing data with others now or in the future. Scripting helps capture data workflows for reproducibility.
OpenBOM: Neo4j and Bill of Materials meetup, BostonOleg Shilovitsky
OpenBOM is using Neo4j to build global graph relationships, to provide structural queries and glean intelligence for decision making in engineering, manufacturing and supply chain.
Check more information on our website - www.openbom.com
Rendering SEO Manifesto - Why we need to go beyond JavaScript SEOOnely
Want to make sure that your content gets properly accessed by search engines and ranks high? Look no further! In this beginner-friendly introduction to batch-optimized rendering, Bartosz will guide you through how Google is rendering websites on a large scale. You’ll gain groundbreaking insights based on Google’s patents and documentation. Join Bartosz to get a new perspective on technical SEO and use it to get more traffic!
The Role of Data Governance in a Data StrategyDATAVERSITY
A Data Strategy is a plan for moving an organization towards a more data-driven culture. A Data Strategy is often viewed as a technical exercise. A modern and comprehensive Data Strategy addresses more than just the data; it is a roadmap that defines people, process, and technology. The people aspect includes governance, the execution and enforcement of authority, and formalization of accountability over the management of the data.
In this RWDG webinar, Bob Seiner will share where Data Governance fits into an effective Data Strategy. As part of the strategy, the program must focus on the governance of people, process, and technology fixated on treating and leveraging data as a valued asset. Join us to learn about the role of Data Governance in a Data Strategy.
Bob will address the following in this webinar:
- A structure for delivery of a Data Strategy
- How to address people, process, and technology in a Data Strategy
- Why Data Governance is an important piece of a Data Strategy
- How to include Data Governance in the structure of the policy
- Examples of how governance has been included in a Data Strategy
This presentation was given at Ezra Firestone's Blue Ribbon Mastermind in August, 2017, in Austin, Texas. It covers leverage and how to grow your business and scale your business using leverage and several tools I developed including the Leverage Mapping Canvas, the Business Growth Idea Score Card and the Business Growth Matrix.
The document provides an overview of Dan Olsen's background in engineering, product management, and as the founder of a Lean Product Meetup group. It discusses key concepts for building the right product like determining customer needs, defining a value proposition, and creating a minimum viable product (MVP). Specific frameworks are presented for identifying underserved needs, prioritizing features, mapping benefits to features, and calculating the opportunity score of potential product ideas. The document emphasizes the importance of testing products with customers throughout the development process.
Data Mesh in Azure using Cloud Scale Analytics (WAF)Nathan Bijnens
This document discusses moving from a centralized data architecture to a distributed data mesh architecture. It describes how a data mesh shifts data management responsibilities to individual business domains, with each domain acting as both a provider and consumer of data products. Key aspects of the data mesh approach discussed include domain-driven design, domain zones to organize domains, treating data as products, and using this approach to enable analytics at enterprise scale on platforms like Azure.
This document provides an introduction to Big Data and Analytics (BD&A). It discusses the three key attributes of Big Data: volume, velocity, and variety. Volume refers to the large amounts of data involved, often terabytes to petabytes. Velocity refers to the speed at which data moves and is analyzed. Variety means data can come in many different forms both structured and unstructured. The document introduces some common types of analytics and explains the business need for BD&A in terms of competitive advantage, return on investment, and improved customer experience. It stresses the importance of BD&A infrastructure to enable a successful BD&A solution and discusses an approach for planning and implementing infrastructure.
Big Data Management For Dummies InformaticaFiona Lew
This document is the introduction chapter of the book "Big Data Management For Dummies, Informatica Special Edition". It provides an overview of the book and its purpose. The book aims to provide a solution to struggling big data projects through the concept of big data management. Big data management is based on three pillars - integration, governance, and security - which provide processes and technologies to ensure data is clean, governed, and secure in order to discover insights and deliver business value from big data projects.
Event management technology_for_dummies_cvent_special_edition_9781119516781Nguyen Tuan Anh
This document provides an introduction to event management technology. It describes how events used to be planned and executed primarily through manual processes, with spreadsheets and emails. However, event management technology now allows events to be planned and executed through an integrated platform. The technology can be used before, during, and after events to simplify processes, save time and money, deliver a better experience, and improve the bottom line. Adopting event management technology brings events into the modern age and helps meet attendees' evolving expectations.
This document provides an overview of Big Data and Analytics (BD&A). It discusses the key aspects of Big Data, including volume, velocity, and variety of data. It emphasizes the business need for BD&A to gain competitive advantages through improved customer experience and increased ROI. The document also introduces the importance of BD&A infrastructure to support analytics and promote business success. Overall, the document serves as an introduction to BD&A concepts and highlights how infrastructure enables the realization of benefits from BD&A initiatives.
This document is the introduction chapter of a book about data blending. It discusses how data analysts support business decision makers by providing timely information and answers to key business questions. However, as the amount of data grows exponentially, it is challenging for data analysts to identify and combine all relevant data sources. Data blending tools help address this challenge by allowing data analysts to easily access and prepare data from multiple sources, reducing the time and effort needed. The book focuses on how data blending is used and what it can provide to help data analysts better support business decision makers.
This document is the introduction chapter of a book about data blending. It discusses how data analysts support business decision makers by providing timely information and answers to key business questions. However, as the amount of data grows exponentially, it is challenging for data analysts to identify and combine all relevant data sources. Data blending tools help by allowing analysts to access and prepare data from multiple sources more easily. This reduces the time spent on data preparation and empowers analysts to be more effective and open new opportunities for their business. The book focuses on how data blending is used and what it can provide to support business decision makers.
Data blending is important because it allows data analysts
to access data from all the relevant data sources: Big Data,
the cloud, social media, third-party data providers, in-house
databases, department data stores, and more. Historically,
the challenge of data analysts has been accessing this data
and then cleansing and preparing the data for analysis. These
stages of access, cleansing, and preparing data are complex
and time intensive. Easy-to-use software tools that reduce the
burden of this data preparation and turn data blending into an
asset greatly empower the data analyst to become more effective and open new opportunities to the business.
The focus of this book is how data blending is used and what
it can provide the data analyst working to support business
decision makers. I identify what features to look for in data
blending tools and how to successfully deploy these tools and
data blending within your business.
This document provides an overview of a book about deploying flash storage arrays. It discusses how data storage performance is crucial for modern applications and business needs like ecommerce, analytics, financial services, and cloud/mobile services. Faster storage systems using solid state drives can help speed up applications and drive business value by enabling faster decisions, better customer service, and smaller data centers. The book will cover different types of flash storage technologies, factors for choosing flash arrays, and deployment designs for IBM FlashSystem arrays.
This document is the table of contents for a book about machine learning published by John Wiley & Sons. It lists 7 chapters that will discuss topics like understanding machine learning, applying machine learning techniques to business problems, the machine learning process, getting started with machine learning projects, developing machine learning skills, and using machine learning to solve specific issues in healthcare, IoT, IT, and fraud prevention. The introduction provides information about the purpose of the book and assumptions made. Copyright information and publisher acknowledgments are also included.
Technology trends, such as BYOD, cloud computing, and the digital workplace, are driving a culture of shadow IT in today's fast-paced organizations. To address these trends and remain relevant, IT organizations must change their operation models fro service support to service brokering. This book explains how.
This document provides an overview of IT service brokering. It defines an IT service broker as a trusted agent that facilitates transactions between users and IT services or vendors. As a broker, IT manages onboarding, workflows, and delivers services across the enterprise. Adopting this role allows IT to better align with business needs by offering a single point of contact for all technology and some non-tech services through automation and service catalogs.
Requirements Definition and Management for DummiesLiberteks
This document provides an overview and summary of a book titled "Requirements Definition & Management For Dummies". It discusses the role of business analysts in software development projects and the challenges they face. It also introduces Blueprint Software as a vendor that provides tools to help with requirements definition and management activities.
This document provides an overview of network attached storage (NAS), data growth, and solutions for overloaded NAS systems. It discusses the basics of NAS including how it allows sharing of data over a network. It describes how data management has become challenging due to the incredible growth of data, especially unstructured data like documents, photos and videos. The document suggests that finding efficient solutions to overloaded NAS systems is important.
Big data analytics infrastructure for dummiesLuke Farrell
This document discusses infrastructure for big data analytics. It covers topics like the need for scalable, parallel processing infrastructure to handle large volumes and varieties of data at high velocities. It also discusses components of infrastructure like servers, storage, and system software from IBM that can meet requirements for speed, availability, and access. Several use cases are presented that demonstrate how industries like energy, fashion, travel, and healthcare have benefited from implementing big data analytics infrastructure solutions.
This document is the introduction chapter of the book "Internet Performance For Dummies, Dyn Special Edition" published by John Wiley & Sons, Inc. It provides an overview of what the book will cover, including definitions of internet performance and why it is important for businesses. It makes assumptions that the reader has basic knowledge of the internet and its role in business, and is a business or technical executive seeking to understand how internet performance impacts customers and business success. The introduction explains that connected businesses need insight into internet structure and performance in order to optimize availability, reachability, reliability, speed and security to increase revenue and decrease costs.
This document provides an overview and summary of a book about virtual events. It discusses how virtual events can reduce costs compared to physical events, while still engaging audiences and generating leads. The book covers topics such as defining virtual events, examples of their use, how to measure their value, best practices, and setting up virtual booths. It aims to provide readers with the information and tools needed to successfully plan and execute their own virtual events.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.