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Activities & events
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Peter Carter
– author
All the mistakes you might make with SQL Server—and how to avoid them! 100 SQL Server Mistakes and How to Avoid Them prepares you for the pitfalls database professionals often encounter—from administration to development, availability, and security. You'll learn to sidestep common errors that slow down your T-SQL code and ensure your SQL Server is installed and configured to handle anything your organization throws at it. Inside 100 SQL Server Mistakes and How to Avoid Them you'll learn to avoid: Development errors when writing T-SQL Installation and administration mistakes Optimization missteps Common pitfalls relating to high availability and disaster recovery (HA/DR) Security oversights that can endanger your data 100 SQL Server Mistakes and How to Avoid Them doesn't focus on the "happy path"—instead, it covers all the errors and problems you might face as a SQL Server developer or administrator. Each chapter is filled with real-world issues drawn from author Peter A. Carter’s two-decade-long career in SQL Server. Peter's seasoned advice helps dispel myths, debunk misconceptions, and set you on the right road. About the Technology Perfecting a SQL Server system can be a complex balancing act. Why is T-SQL running so slowly? Are the right data available? Are we protected against data theft? What about that new server instance I need to administer? Even the most skilled SQL Server experts make mistakes that cost time and performance. This book can help you get it right the first time. About the Book 100 SQL Server Mistakes and How to Avoid Them focuses exclusively on the errors that you might—and probably will—make as a SQL Server admin or developer. Real-world examples, code samples, and helpful diagrams make it easy to understand each issue and its solution. You’ll learn how to write performant code, design efficient database schemas, implement error handling, work with complex data types, and much more, all in a friendly, common-sense problem/solution format. What's Inside T-SQL development Installation, administration, and optimization High availability and security About the Reader Readers need to understand basic SQL Server concepts and SQL queries. Perfect for junior database admins, full-stack developers, and “accidental” DBAs. About the Author Peter A. Carter is a SQL Server expert with experience developing, administering, and architecting data-tier applications and SQL Server platforms. Quotes A masterful job! Covers the nuances of SQL Server that a new admin, or even an experienced one, needs to understand. - Allen White, SQL Server MVP 2007-2022 Quick, actionable advice that greatly improved my SQL Server skills. - Ruben Vandeginste, PeopleWare A practical path through pitfalls in administration and development with specific solutions, examples, and code snippets. - Josephine Bush, sqlkitty.com Worth reading for the testing and debugging section alone! - Mike McQuillan, McQTech Ltd. |
O'Reilly SQL Books
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NYCs Largest Crypto Meetup @Margaritaville Times Sq 7th Floor
2023-11-13 · 23:30
Attention all CryptoMondays enthusiasts! Are you ready to meet, connect, and have fun with like-minded people who share the same passion for digital currency and blockchain technology? If so, then the upcoming New York City's Largest CryptoMondaysNY Nov 13th, 6:30 - 9 pm At MargaritaVille Times Square Chill Bar 40th & 7th Ave 7th Floor Lobby Bar Organized by CrytpoOracle Collective & NFT VIP NFT VIP has curated NFT collectible tickets for the past 18 weeks for CryptoMondaysNY and CryptoMondays Singapore If you've RSVP'd for a CryptoMondays NYC event, you have a wallet with at least one ticket (maybe more) in that wallet. When you get scanned, you're more than a member; you're part of the team and will get extra benefits. Fun fact: over half of you have checked in at least once by scanning the QR code, and this has entered you into our Utility Bonus Club: CryptoMondays T-Shirts, Art Basel VIP Event Tickets, and so much more. Here's the leaderboard of the top scanned tickets
Each of you on the list above will receive a CryptoMondays T-shirt and have the opportunity to meet us in Miami during our Art Basel VIP event. Please share best shirt size to order and If you'll be in Miami December 4–8, 2023 This week, YOU have the opportunity to claim your collectible ticket and scan it at entry. Most of you already have a wallet and know the deal! Here's this weeks collectible to claim here You already have enough VIP Tech Tokens in your wallet to use to claim this week's FREE!!! collectible If you don’t, click here and sign up for one. Be on the lookout for an email from [email protected] with a link to your wallet and ticket Don’t forget to have your ticket ready to be scanned at the entrance. If you don’t know how to do that, ask at the door, and we'll show you on Monday. Whether you're an industry professional looking to expand your horizons or a beginner just starting out, this event provides a platform to connect with other like-minded individuals. You'll have the chance to share your thoughts and ideas on cryptocurrency, blockchain, and other related topics. You can also find potential business partners, collaborative opportunities, potential investors, trading partners, and support relationships. Make sure you RSVP with your email to reserve your space. Interested in speaking, sponsoring or volunteer opportunities Email [email protected] |
NYCs Largest Crypto Meetup @Margaritaville Times Sq 7th Floor
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NYCs Largest Crypto Meetup @Margaritaville Times Sq 7th Floor
2023-10-30 · 22:30
Attention all CryptoMondays enthusiasts! Are you ready to meet, connect, and have fun with like-minded people who share the same passion for digital currency and blockchain technology? If so, then the upcoming New York City's Largest CryptoMondaysNY October 30th, 6:30 - 9 pm At MargaritaVille Times Square Chill Bar 40th & 7th Ave 7th Floor Lobby Bar Organized by CrytpoOracle Collective & NFT VIP NFT VIP has curated NFT collectible tickets for the past 18 weeks for CryptoMondaysNY and CryptoMondays Singapore If you've RSVP'd for a CryptoMondays NYC event, you have a wallet with at least one ticket (maybe more) in that wallet. When you get scanned, you're more than a member; you're part of the team and will get extra benefits. Fun fact: over half of you have checked in at least once by scanning the QR code, and this has entered you into our Utility Bonus Club: CryptoMondays T-Shirts, Art Basel VIP Event Tickets, and so much more. Here's the leaderboard of the top scanned tickets
Each of you on the list above will receive a CryptoMondays T-shirt and have the opportunity to meet us in Miami during our Art Basel VIP event. Please share best shirt size to order and If you'll be in Miami December 4–8, 2023 This week, YOU have the opportunity to claim your collectible ticket and scan it at entry. Most of you already have a wallet and know the deal! Here's this weeks collectible to claim here You already have enough VIP Tech Tokens in your wallet to use to claim this week's FREE!!! collectible If you don’t, click here and sign up for one. Be on the lookout for an email from [email protected] with a link to your wallet and ticket Don’t forget to have your ticket ready to be scanned at the entrance. If you don’t know how to do that, ask at the door, and we'll show you on Monday. Whether you're an industry professional looking to expand your horizons or a beginner just starting out, this event provides a platform to connect with other like-minded individuals. You'll have the chance to share your thoughts and ideas on cryptocurrency, blockchain, and other related topics. You can also find potential business partners, collaborative opportunities, potential investors, trading partners, and support relationships. Make sure you RSVP with your email to reserve your space. Interested in speaking, sponsoring or volunteer opportunities Email [email protected] |
NYCs Largest Crypto Meetup @Margaritaville Times Sq 7th Floor
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Data Privacy
2022-02-05
Nishant Bhajaria
– author
Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. In Data Privacy you will learn how to: Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and board Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book’s constant awareness of business requirements will help you balance trade-offs, and ensure your user’s privacy can be improved without spiraling time and resource costs. About the Technology Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user’s trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy. About the Book Data Privacy: A runbook for engineers teaches you how to navigate the trade-offs between strict data security and real world business needs. In this practical book, you’ll learn how to design and implement privacy programs that are easy to scale and automate. There’s no bureaucratic process—just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals. What's Inside Classify data based on privacy risk Set up capabilities for data export that meet legal requirements Establish a review process to accelerate privacy impact assessment Design a consent management platform to capture user consent About the Reader For engineers and business leaders looking to deliver better privacy. About the Author Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Google. Quotes I wish I had had this text in 2015 or 2016 at Netflix, and it would have been very helpful in 2008–2012 in a time of significant architectural evolution of our technology. - From the Foreword by Neil Hunt, Former CPO, Netflix Your guide to building privacy into the fabric of your organization. - John Tyler, JPMorgan Chase The most comprehensive resource you can find about privacy. - Diego Casella, InvestSuite Offers some valuable insights and direction for enterprises looking to improve the privacy of their data. - Peter White, Charles Sturt University |
O'Reilly Data Engineering Books
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Venu Vasudevan @VenuV62 (@ProcterGamble) on creating a rockstar data science team #FutureOfData
2018-02-01 · 02:26
Venu Vasudevan
– Research Director, Data Science & AI
@ Procter & Gamble
In this podcast, Venu Vasudevan(@ProcterGamble) talks about the best practices of creating a research-led data-driven data science team. He walked through his journey of creating a robust and sustained data science team, spoke about bias in data science, and some practices leaders and data science practitioners could adopt to create an impactful data science team. This podcast is great for future data science leaders and practitioners leading organizations to put together a data science practice. Timeline: 0:29 Venu's jouney. 11:18 Venu's current role in PNG. 13:11 Standardization of technology and IoT. 17:18 The state of AI. 19:46 Running an AI and data practice for a company. 22:30 Building a data science practice in a startup in comparison to a transnational company. 24:05 Dealing with bias. 27:32 Culture: a block or an opportunity. 30:05 Dealing with data we've never dealt with before. 32:32 Sustainable vs. disruption. 36:17 Starting a data science team. 38:34 Data science as an art of doing and science of doing business. 41:37 Tips to improve storytelling for a data practitioner. 43:30 Challenges in Venu's journey. 44:55 Tenets of a good data scientist. 47:27 Diversity in hiring. 50:50 KPI's to look out for if you are running an AI practice. 51:37 Venu's favorite read. Venu's Recommended Read: Isaac Newton: The Last Sorcerer - Michael White http://amzn.to/2FzGV0N Against the Gods: The Remarkable Story of Risk - Peter L. Bernstein http://amzn.to/2DRPveU Podcast Link: https://futureofdata.org/venu-vasudevan-venuv62-proctergamble-on-creating-a-rockstar-data-science-team-futureofdata/ Venu's BIO: Venu Vasudevan is Research Director, Data Science & AI at Procter & Gamble, where he directs the Data Science & AI organization at Procter & Gamble research. He is a technology leader with a track record of successful consumer & enterprise innovation at the intersection of AI, Machine Learning, Big Data, and IoT. Previously he was VP of Data Science at an IoT startup, a founding member of the Motorola team that created the Zigbee IoT standard, worked to create an industry-first zero-click interface for mobile with Dag Kittlaus (co-creator of Apple Siri), created an industry-first Google Glass experience for TV, an ARRIS video analytics and big data platform recently acquired by Comcast, and a social analytics platform leveraging Twitter that was featured in Wired Magazine and BBC. Venu held a Ph.D. (Databases & AI) from Ohio State University and was a Motorola’s Science Advisory Board (top 2% of Motorola technologists). He is an Adjunct Professor at Rice University’s Electrical and Computer Engineering department and was a mentor at Chicago’s 1871 startup incubator. About #Podcast: FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ [email protected] Keywords: FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy |
The Future of Data Podcast | conversation with leaders, influencers, and change makers in the World of Data & Analytics |