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Articles by David Mariani
Feminism for All: Rejecting TERF Ideology and the Legacy of Exclusion
David Mariani, Jr. · Follow 4 min read · -- In 2024, over 550 anti-LGBTQ+ bills were introduced across the United States, many targeting transgender individuals. This surge in discriminatory legislation reflects a long history of using rigid gender norms to marginalize anyone who does not conform. From raids on gay bars in the 1960s to modern attacks on trans rights, society has repeatedly weaponized gender policing to enforce conformity and uphold systemic inequality.
Policing the Playing Field: How Myths About Trans Athletes Harm Us All
David Mariani, Jr. · Follow 4 min read · -- Sports have long been a battleground for broader societal issues, from racial integration to gender equality. Today, the inclusion of transgender athletes has become a focal point, with critics arguing that trans athletes — particularly trans women — possess inherent physical advantages that threaten fair competition.
Queerphobia at the Ballot Box: Debunking the Scapegoating of LGBTQ+ Communities
David Mariani, Jr. · Follow 4 min read · -- Blaming marginalized communities during times of societal upheaval is a tale as old as politics. From the 1950s “Lavender Scare” to the AIDS crisis of the 1980s, queer communities have long been scapegoated for society’s anxieties. Today, the same tactic resurfaces in the aftermath of a contentious election, with some political commentators blaming queer rights advocacy for Democratic losses.
How to Make Generative AI Work for Natural Language Queries
As businesses increasingly rely on data-driven decision-making, the volume and complexity of data within enterprises have grown exponentially. However, processing this data and deriving actionable insights remains challenging due to the reliance on human analysts. The explosion in interest surrounding text-to-SQL (T2SQL) solutions and the capabilities of large language models (LLMs) like ChatGPT have presented a promising avenue to address these bottlenecks.
Building a Common Data Language: How a Semantic Layer Drives Collaboration and Trust
The self-service analytics revolution was intended to free business users from IT chains. The idea was to break the IT bottleneck by allowing businesses to create their own data products. After all, businesses understand their respective domains better than anyone in IT could, and decentralizing the work of creating data products should theoretically increase the throughput for developing these products. This decentralized approach failed to deliver on the promise, though.
Data and AI Predictions for 2024: Shifting Sands in Enterprise Data and AI Technologies
From data lakehouses and generative AI to controlling cloud migration costs, data professionals will have their hands full in 2024. As enterprises continue to evolve their data infrastructure and explore the burgeoning landscape of generative AI, 2024 is set to be a year of strategic realignment and measured adoption. Here are three themes I expect to define the technological trajectory of the coming year.
Empowering Power BI with the Semantic Layer
Today’s organizations widely acknowledge the significance of leveraging data and analytics. Virtually every executive envisions establishing a data-driven organization. However, a survey conducted by New Vantage Partners reveals that only a mere 26.5% of companies have effectively achieved this transformative goal. Part of the problem lies in the ineffective collaboration between business and technology teams.
Zinc-Air, The Next Contender In Vehicle Batteries? [Hackaday]
If you’ve got an interest in technology, it’s inevitable that your feed will feature a constant supply of stories with titles in the vein of “New battery breakthrough offers unlimited …read more View Article on Hackaday If you’ve got an interest in technology, it’s inevitable that your feed will feature a constant supply of stories with titles in the vein of “New battery breakthrough offers unlimited life and capacity!”.
3D Printing With Clay, Thanks to Custom Extruder [Hackaday]
When it comes to 3D printing clay, there are a lot of challenges to be met. An extruder capable of pushing clay is critical, and [davidsfeir] has an updated version suitable …read more View Article on Hackaday When it comes to 3D printing clay, there are a lot of challenges to be met. An extruder capable of pushing clay is critical, and [davidsfeir] has an updated version suitable for an Ender 3 printer.
How a Semantic Layer Helps Your Data Teams
How a Semantic Layer Helps Your Data Teams The semantic layer may be the key to making the self-service data revolution a reality for everyone. The self-service BI revolution has never really lived up to its billing. Although user-friendly BI tools have, indeed, made visualizing data easier, they still require a minimum level of database expertise to make them work.
Mitigating the Risks of Data Democratization
Democratizing data use within an organization empowers employees, fosters greater collaboration, and enables them to make more informed, data-driven decisions. By giving data and analytics tools and solutions to the many, companies can take accurate and timely decision making out of the hands of the few, resulting in improved productivity, increased efficiency, and enhanced business outcomes.
Hackaday Links: April 23, 2023 [Hackaday]
Mark it on your calendars, folks — this is the week that the term RUD has entered the public lexicon. Sure, most of our community already knows the acronym for …read more View Article on Hackaday Mark it on your calendars, folks — this is the week that the term RUD has entered the public lexicon. Sure, most of our community already knows the acronym for “rapid unscheduled disassembly,” and realizes its tongue-in-cheek nature.
Why semantics matter in the modern data stack
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Why semantics matter in the modern data stack
Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More Most organizations are now well into re-platforming their enterprise data stacks to cloud-first architectures. The shift in data gravity to centralized cloud data platforms brings enormous potential. However, many organizations are still struggling to deliver value and demonstrate true business outcomes from their data and analytics investments.
Why semantics matter in the modern data stack
4 hours ago If you’ve traveled recently, you’ve likely noticed plenty of free USB outlets scattered around airports. As our lives increasingly rely on smartphones and other battery-powered devices, having a place to charge up is essential — especially if you’re stuck at an airport for a few …
The Semantic Lakehouse Explained
Data lakes and semantic layers have been around for a long time – each living in their own walled gardens, tightly coupled to fairly narrow use cases. As data and analytics infrastructure migrates to the cloud, many are challenging how these foundational technology components fit in the modern data and analytics stack. In this article, we will dive into how a data lakehouse and a semantic layer together upend the traditional relationship between data lakes and analytics infrastructure.
The Semantic Lakehouse Explained
Developers are turning to GitHub Copilot, a ChatGPT-like tool that helps them write code. One startup VP says it helped him save 10% of the time he'd spend coding. While ChatGPT has spurred a lot of excitement around artificial intelligence, the conversational chatbot is not the only technology to come from OpenAI. The Microsoft-backed company has developed a slew of generative-AI products, including one called Codex that's already helping engineers become …
What’s a Semantic Layer Worth?
There’s been a lot of talk about semantic layers lately. I’ve seen dozens of companies using a semantic layer to drive self-service analytics at scale. But even with all these success stories, I still get this question: “Is a semantic layer worth the effort?” In other words, is the juice worth the squeeze? So, how do you know that you need a semantic layer? DBP Institute, a data and analytics research firm, conducted a survey of data leaders and asked them the same question.
Why Modernize Mainframe
Welcome to Finextra. We use cookies to help us to deliver our services. We'll assume you're ok with this, but you may change your preferences at our Cookie Centre. Please read our Privacy Policy. News in your inbox For Finextra's free daily newsletter, breaking news and flashes and weekly job board. Sign Up Channels Group External | what does this mean? This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Contextual Commerce: The Next Big Thing in Digital
Welcome to Finextra. We use cookies to help us to deliver our services. We'll assume you're ok with this, but you may change your preferences at our Cookie Centre. Please read our Privacy Policy. News in your inbox For Finextra's free daily newsletter, breaking news and flashes and weekly job board. Sign Up Channels Group External | what does this mean? This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
How FinTech Companies Can Use a Modern Data Stack to Gain a Competitive Advantage
Welcome to Finextra. We use cookies to help us to deliver our services. We'll assume you're ok with this, but you may change your preferences at our Cookie Centre. Please read our Privacy Policy. News in your inbox For Finextra's free daily newsletter, breaking news and flashes and weekly job board. Sign Up Channels Group External | what does this mean? This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
The Complexity of Modern Data Environments
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The Need to Reboot Small Business Lending in the United Kingdom
Welcome to Finextra. We use cookies to help us to deliver our services. We'll assume you're ok with this, but you may change your preferences at our Cookie Centre. Please read our Privacy Policy. News in your inbox For Finextra's free daily newsletter, breaking news and flashes and weekly job board. Sign Up Channels External | what does this mean? This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
The hub-and-spoke model: An alternative to data mesh Original
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today! Data mesh is a hot topic in the data and analytics community.
The hub-and-spoke model: An alternative to data mesh
Tech News Tube is a real time news feed of the latest technology news headlines.Follow all of the top tech sites in one place, on the web or your mobile device.
The Rise of the Semantic Layer
Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,”but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface to data that serves a variety of use cases and user personas. What Does a Semantic Layer Do?
6 tips for effective meetings in a hybrid work environment
The pandemic has changed meeting culture forever. Zoom has become a verb and a household name. While online meetings were always part of business life, the pandemic and its aftermath made them an essential part of doing business for the foreseeable future. With distributed workforces now standard, doing online meetings “right” is more important than ever.
Do You Need a Semantic Layer?
Read more about author David Mariani. I co-founded my company to focus on the challenges of supporting a large number of data analysts working on disparate sets of data managed in a massive lake. We borrowed the term “semantic layer” from the folks at Business Objects, who originally coined it in the 1990s. The term was actually over 20 years old when we adopted it. So what is a semantic layer exactly?
The Semantic Layer Goes Mainstream
Read more about author David Mariani. The semantic layer concept within the data stack is not new but is an increasingly popular topic of conversation. I predict that in 2022, we’ll see mainstream awareness of the semantic layer, especially as enterprises begin to see real-world examples of its benefits. The fact that industry leaders are discussing the need for a semantic layer won’t hurt either.
How a semantic layer bridges BI and AI
Join today's leading executives online at the Data Summit on March 9th. Register here. This article was contributed by David Mariani, chief technology officer for AtScale. An important step in the data maturity of an organization is moving beyond simple historical analysis to generating accurate predictions about the future. In the past, business analysts focused on historical analysis while data science teams attempted to surface interesting insights about the future.
Artificial intelligence (AI): 4 questions to ask while choosing solutions
Organizations are increasingly using artificial intelligence (AI) and machine learning (ML) to solve business problems and transform their operations. These technologies are affecting nearly every process across all industries and becoming imperative for competitive edge. As AI and ML techniques continue to evolve, so do the requirements of the businesses that use them.
What the cloud can do for data that Hadoop couldn't
When I was at Yahoo! almost 10 years ago now, I remember the first time I heard the term “Hadoop.” Like everyone else, I didn’t even know how to pronounce the word. Besides the weird name, though, it was obvious that this was something radically different. Before Hadoop, we had databases that we needed to load with flat files.
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