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Activities & events
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Marco Iansiti
– author
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Satya Nadella
– author
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Harvard Business Review
– author
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Tsedal Neeley
– author
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Thomas H. Davenport
– author
Data is your business. Have you unlocked its full potential? If you read nothing else on data strategy, read this book. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximize your analytics capabilities; harness the power of data, algorithms, and AI; and gain competitive advantage in our hyperconnected world. This book will inspire you to: Reap the rewards of digital transformation Make better data-driven decisions Design breakout products that generate profitable insights Address vulnerabilities to cyberattacks and data breaches Reskill your workforce and build a culture of continuous learning Win with personalized customer experiences at scale This collection of articles includes "What's Your Data Strategy?," by Leandro DalleMule and Thomas H. Davenport; "Democratizing Transformation," by Marco Iansiti and Satya Nadella; "Why Companies Should Consolidate Tech Roles in the C-Suite," by Thomas H. Davenport, John Spens, and Saurabh Gupta; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "What Does It Actually Take to Build a Data-Driven Culture?," by Mai B. AlOwaish and Thomas C. Redman; "When Data Creates Competitive Advantage," by Andrei Hagiu and Julian Wright; "Building an Insights Engine," by Frank van den Driest, Stan Sthanunathan, and Keith Weed; "Personalization Done Right," by Mark Abraham and David C. Edelman; "Ensure High-Quality Data Powers Your AI," by Thomas C. Redman; "The Ethics of Managing People's Data," by Michael Segalla and Dominique Rouzies; "Where Data-Driven Decision-Making Can Go Wrong," by Michael Luca and Amy C. Edmondson; "Sizing Up Your Cyberrisks," by Thomas J. Parenty and Jack J. Domet; "A Better Way to Put Your Data to Work," Veeral Desai, Tim Fountaine, and Kayvaun Rowshankish; and "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman. HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others. |
O'Reilly Data Science Books
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#269 Governing Data Models with Sarah Levy, CEO and Co-Founder at Euno
2024-12-12 · 10:00
Sarah Levy
– CEO and Co-Founder
@ Euno
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Richie
– host
@ DataCamp
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Imagine spending millions on data tools only to find you can’t trust the answers they provide. What if different teams define key metrics in different ways? Without a clear, unified approach, chaos reigns, and confidence erodes. What role do data governance and semantic layers play in helping you trust the AI tools you build and the insights you get from your data? Sarah Levy is a seasoned executive with extensive experience in data science, artificial intelligence, and technology leadership. Currently serving as Co-Founder and CEO of Euno since January 2023, Sarah has previously held significant positions, including VP of Data Science and Data Analytics for Real Estate at Pagaya and CTO at Sight Diagnostics, where innovative advancements in blood testing were achieved. With a strong foundation in research and development from roles at Sight Diagnostics and Natural Intelligence, as well as a robust background in cyber security gained from tenure at the IDF, Sarah has consistently driven impactful decision-making and technological advancements throughout their career. Academic credentials include a Master's degree in Condensed Matter Physics from the Weizmann Institute of Science and a Bachelor's degree in Mathematics and Physics from The Hebrew University of Jerusalem. In the episode, Richie and Sarah explore the challenges of data governance, the role of semantic layers in ensuring data trust, the emergence of analytics engineers, the integration of AI in data processes, and much more. Links Mentioned in the Show: EunoConnect with SarahCourse: Responsible AI Data ManagementRelated Episode: How Data Leaders Can Make Data Governance a Priority with Saurabh Gupta, Chief Strategy & Revenue Officer at The Modern Data CompanyRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business |
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#190 How Data Leaders Can Make Data Governance a Priority with Saurabh Gupta, Chief Strategy & Revenue Officer at The Modern Data Company
2024-03-22 · 10:00
Adel
– host
@ DataFramed
,
Saurabh Gupta
– Chief Strategy & Revenue Officer
@ The Modern Data Company
There is a concept in software engineering which is called ‘shifting left’, this focuses on testing software a lot earlier in the development lifecycle than you would normally expect it to. This helps teams building the software create better rituals and processes, while also ensuring quality and usability are key aspects to evaluate as the software is being built. We know this works in software development, but what happens when these practices are used when building AI tools? Saurabh Gupta is a seasoned technology executive and is currently Chief Strategy & Revenue Officer The Modern Data Company. With over 25 years of experience in tech, data and strategy, he has led many strategy and modernization initiatives across industries and disciplines. Through his career, he has worked with various Internation Organizations and NGOs, Public sector and Private sector organizations. Before joining TMDC, he was the Head of Data Strategy & Governance at ThoughtWorks & CDO/Director for Washington DC Gov., where he developed the digital/data modernization strategy for education data. Prior to DCGov he played leadership and strategic roles at organizations including IMF and World Bank where he was responsible for their Data strategy and led the OpenData initiatives. He has also closely worked with African Development Bank, OECD, EuroStat, ECB, UN and FAO as a part of inter-organization working groups on data and development goals. As a part of the taskforce for international data cooperation under the G20 Data Gaps initiative, he chaired the technical working group on data standards and exchange. He also played an advisor role to the African Development Bank on their data democratization efforts under the Africa Information Highway. In the episode, Adel & Saurabh explore the importance of data quality and how ‘shifting left’ can improve data quality practices, the role of data governance, the emergence of data product managers, operationalizing ‘shift left’ strategies through collaboration and data governance, the challenges faced when implementing data governance, future trends in data quality and governance, and much more. Links Mentioned in the Show: The Modern Data CompanyMonte Carlo: The Annual State of Data Quality Survey[Course] Data Governance Concepts[Webinar] Crafting a Lean and Effective Data Governance Strategy Related Episode: Building Trust in Data with Data Governance New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business |
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Prateek Bhati
– author
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Selva raj Ramasamy
– author
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Shilpi Saxena
– author
,
Saurabh Gupta
– author
This book provides a comprehensive guide to real-time data processing and analytics using modern frameworks like Apache Spark, Flink, Storm, and Kafka. Through practical examples and in-depth explanations, you will learn how to implement efficient, scalable, real-time processing pipelines. What this Book will help me do Understand real-time data processing essentials and the technology stack Learn integration of components like Apache Spark and Kafka Master the concepts of stream processing with detailed case studies Gain expertise in developing monitoring and alerting solutions for real-time systems Prepare to implement production-grade real-time data solutions Author(s) Shilpi Saxena and Saurabh Gupta, the authors, are experienced professionals in distributed systems and data engineering, focusing on practical applications of real-time computing. They bring their extensive industry experience to this book, helping readers understand the complexities of real-time data solutions in an approachable and hands-on manner. Who is it for? This book is ideal for software engineers and data engineers with a background in Java who seek to develop real-time data solutions. It is suitable for readers familiar with concepts of real-time data processing, and enhances knowledge in frameworks like Spark, Flink, Storm, and Kafka. Target audience includes learners building production data solutions and those designing distributed analytics engines. |
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Saurabh K. Gupta
– author
In "Advanced Oracle PL/SQL Developer's Guide (Second Edition)", you'll delve into the advanced capabilities of Oracle PL/SQL, honing skills needed for professional-level certification while mastering the innovations introduced in Oracle Database 12c. This book serves as a comprehensive resource for enhancing your database development expertise. What this Book will help me do Master advanced Oracle PL/SQL development skills aligned with Oracle Database 12c innovations. Understand and implement Virtual Private Database (VPD) for advanced database security. Gain expertise in tuning, profiling, and debugging PL/SQL code for robust application performance. Integrate and utilize Oracle Database 12c features such as Multitenant feature and Database In-Memory. Prepare for the 1Z0-146 Oracle certification to become recognized as an Advanced PL/SQL Developer. Author(s) Saurabh K. Gupta is an experienced Oracle developer and author known for his clarity and depth in explaining advanced technical concepts. With a strong background in Oracle Database and PL/SQL development, he imparts knowledge that bridges the gap between learning and practical application. Gupta's writing emphasizes clarity and hands-on understanding, making complex topics accessible to developers. Who is it for? This book is tailored for advanced Oracle developers looking to deepen their understanding of PL/SQL and integrate Oracle Database 12c's features into their workflow. It is particularly beneficial for professionals preparing for the 1Z0-146 Oracle exam. Readers should have foundational knowledge in PL/SQL and a determination to elevate their technical proficiency. |
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Saurabh K. Gupta
– author
This book provides a comprehensive guide to the advanced features of PL/SQL, Oracle's procedural extension for SQL. It is especially designed for developers looking to master complex concepts, optimize code, and prepare for the Oracle 11g Advanced PL/SQL Professional certification (1Z0-146). Through clear explanations, practical examples, and exercises, you will advance your skills effectively. What this Book will help me do Master the use of advanced PL/SQL interface methods for robust database interactions. Implement Virtual Private Database settings with Fine Grained Access Control. Effectively use collections and data caching techniques to optimize your programs. Apply techniques to protect PL/SQL code from various security vulnerabilities, including injections. Implement result caching strategies and learn performance tuning methods to enhance application efficiency. Author(s) Saurabh K. Gupta is an experienced database professional specializing in Oracle technologies, with a focus on advanced PL/SQL development and optimization. He brings years of hands-on expertise to his writing, making complex subjects accessible for developers. In this book, he combines practical knowledge with certification-focused insights to guide readers towards programming excellence. Who is it for? This book is designed for PL/SQL programmers who have intermediate experience and are aiming to elevate their skills to a professional level. If you are preparing for the Oracle 1Z0-146 Professional certification or wish to deepen your understanding of advanced PL/SQL topics, this guide is ideal for you. A foundational knowledge of PL/SQL programming is assumed to fully benefit from the content. |
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