<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Costs on Ahead of the AI</title><link>https://julianamarialop.github.io/en/tags/costs/</link><description>Recent content in Costs on Ahead of the AI</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 08 Sep 2026 15:55:00 +0000</lastBuildDate><atom:link href="https://julianamarialop.github.io/en/tags/costs/index.xml" rel="self" type="application/rss+xml"/><item><title>Survival or Creative: How to Build Your First AI Agent on Oracle Without Ever Having Opened the Console</title><link>https://julianamarialop.github.io/en/articles/survival-or-creative-build-your-first-ai-agent-on-oracle/</link><pubDate>Tue, 08 Sep 2026 15:55:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/survival-or-creative-build-your-first-ai-agent-on-oracle/</guid><description>Anyone who has played Minecraft knows the first decision in the game isn&amp;rsquo;t about where to build. It&amp;rsquo;s about which mode to play.</description></item><item><title>Pawn, Rook, Queen: How to Field the Right Model for Each Agent</title><link>https://julianamarialop.github.io/en/articles/pawn-rook-queen-how-to-field-the-right-model-for-each-agent/</link><pubDate>Fri, 21 Aug 2026 14:00:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/pawn-rook-queen-how-to-field-the-right-model-for-each-agent/</guid><description>Every chess player learns a table early on and carries it for life: a pawn is worth 1, knight and bishop are worth 3, a rook is worth 5, the queen is worth 9. It isn&amp;rsquo;t a rule of the game, it&amp;rsquo;s centuries of accumulated wisdom about the relative power of each…</description></item><item><title>What Tony Stark's Hall of Armor Taught Me About the Math Nobody Does: Tokens per Claude Subscription</title><link>https://julianamarialop.github.io/en/articles/tony-stark-hall-of-armor-tokens-per-claude-subscription/</link><pubDate>Mon, 17 Aug 2026 21:10:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/tony-stark-hall-of-armor-tokens-per-claude-subscription/</guid><description>Beneath the Malibu mansion, Tony Stark keeps a gallery that tells his story better than any biography. The Mark III, gold and red, built for everyday use. The Mark XLIV, the Hulkbuster, designed for a…</description></item><item><title>Loki Didn't Ask for Permission. A Technical Analysis of Claude vs OpenAI in Enterprise Data Projects.</title><link>https://julianamarialop.github.io/en/articles/loki-didnt-ask-for-permission-claude-vs-openai-enterprise-data/</link><pubDate>Mon, 18 May 2026 22:11:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/loki-didnt-ask-for-permission-claude-vs-openai-enterprise-data/</guid><description>Asgard was built before any other realm. OpenAI raised the castle with GPT-3, GPT-4 and ChatGPT in a sequence no one could keep up with, and the world started using this technology before it even…</description></item><item><title>Gambit's Cards: How Prompt Caching Can Cut the Cost of Your Claude Solutions by Up to 90%</title><link>https://julianamarialop.github.io/en/articles/gambits-cards-how-prompt-caching-can-cut-claude-costs-by-up-to-90/</link><pubDate>Tue, 05 May 2026 15:02:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/gambits-cards-how-prompt-caching-can-cut-claude-costs-by-up-to-90/</guid><description>Imagine that every time you start a meeting, the assistant reads all the company rules out loud before getting started. Two hundred pages. Every day. In every meeting. Even though everyone already knows what&amp;rsquo;s written there.</description></item><item><title>Beast Didn't Build Cerebro in a Day: The Evolutionary Journey with Claude Managed Agents</title><link>https://julianamarialop.github.io/en/articles/beast-didnt-build-cerebro-in-a-day-claude-managed-agents/</link><pubDate>Mon, 20 Apr 2026 21:51:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/beast-didnt-build-cerebro-in-a-day-claude-managed-agents/</guid><description>When the X-Men go into battle, the world sees Wolverine, Storm, Cyclops. Nobody sees Hank McCoy, the Beast, working on the systems underneath. But he&amp;rsquo;s the one who designed Cerebro. He&amp;rsquo;s the one who keeps the Danger Room…</description></item><item><title>Storm Didn't Have to Learn to Fly to Control the Weather: How to Use VS Code with Claude Without Being a Developer</title><link>https://julianamarialop.github.io/en/articles/storm-didnt-learn-to-fly-vs-code-with-claude-without-being-a-developer/</link><pubDate>Thu, 16 Apr 2026 11:30:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/storm-didnt-learn-to-fly-vs-code-with-claude-without-being-a-developer/</guid><description>There&amp;rsquo;s a belief in the data world that few people question: the IDE is developer territory. VS Code, with its folders, files, and terminal, would be a hostile environment for anyone who doesn&amp;rsquo;t write code every day.</description></item><item><title>The Art of Transformation: How to Write Claude Code Skills with Mystique's Precision</title><link>https://julianamarialop.github.io/en/articles/art-of-transformation-how-to-write-claude-code-skills/</link><pubDate>Tue, 14 Apr 2026 12:50:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/art-of-transformation-how-to-write-claude-code-skills/</guid><description>Mystique isn&amp;rsquo;t the strongest mutant. She doesn&amp;rsquo;t have Wolverine&amp;rsquo;s adamantium, Xavier&amp;rsquo;s telepathy, or Cyclops&amp;rsquo;s optic blasts. What she has is something rarer: the ability to do the most with the least.</description></item><item><title>Wolverine and Claude: Two Warriors Without Memory That Nobody Wants to Face</title><link>https://julianamarialop.github.io/en/articles/wolverine-and-claude-two-warriors-without-memory/</link><pubDate>Thu, 09 Apr 2026 01:51:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/wolverine-and-claude-two-warriors-without-memory/</guid><description>Have you ever tried to explain to an executive why an AI model doesn&amp;rsquo;t remember the previous conversation? The answer isn&amp;rsquo;t in Anthropic&amp;rsquo;s technical documentation. It&amp;rsquo;s in the Weapon X Program.</description></item><item><title>Databricks Lakebase: The Definitive Guide to the New Era of Operational Data and AI Agents</title><link>https://julianamarialop.github.io/en/articles/databricks-lakebase-definitive-guide-operational-data-and-ai-agents/</link><pubDate>Tue, 03 Mar 2026 12:31:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/databricks-lakebase-definitive-guide-operational-data-and-ai-agents/</guid><description>Databricks Lakebase represents a significant evolution in data architecture, specifically in the domain of OLTP (Online Transactional Processing) databases. It isn&amp;rsquo;t just another database…</description></item><item><title>Microsoft Foundry: The Film Studio of the New Era of Artificial Intelligence</title><link>https://julianamarialop.github.io/en/articles/microsoft-foundry-the-film-studio-of-the-new-era-of-ai/</link><pubDate>Thu, 19 Feb 2026 01:29:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/microsoft-foundry-the-film-studio-of-the-new-era-of-ai/</guid><description>Picture Microsoft Foundry as a big film studio dedicated to producing AI movies. Instead of projectors, cameras, and scripts, it offers tools, models, and infrastructure to turn ideas into…</description></item><item><title>From ETL to ETL-A: The Rise of Autonomous Pipelines and the Future of Data Engineering</title><link>https://julianamarialop.github.io/en/articles/from-etl-to-etl-a-the-rise-of-autonomous-pipelines/</link><pubDate>Wed, 21 Jan 2026 17:30:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/from-etl-to-etl-a-the-rise-of-autonomous-pipelines/</guid><description>Imagine you need to get from point A to point B. A few decades ago, your only option was a car with a manual transmission, demanding full attention to every gear change and every move in traffic. Over time…</description></item><item><title>Migrating Data Like Moving House: Which Strategy Should You Choose?</title><link>https://julianamarialop.github.io/en/articles/migrating-data-like-moving-house-which-strategy-to-choose/</link><pubDate>Fri, 17 Oct 2025 15:59:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/migrating-data-like-moving-house-which-strategy-to-choose/</guid><description>In the world of technology, few tasks are as critical and delicate as data migration. Whether to modernize systems, adopt the cloud or consolidate platforms, moving data from one place to another is a…</description></item><item><title>La Traviata of Data: The Tragic Opera of How Fabric Failed to Win the Market</title><link>https://julianamarialop.github.io/en/articles/la-traviata-of-data-how-fabric-failed-to-win-the-market/</link><pubDate>Mon, 25 Aug 2025 14:21:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/la-traviata-of-data-how-fabric-failed-to-win-the-market/</guid><description>In May 2023, Microsoft announced Microsoft Fabric as a revolutionary solution to unify every analytical workload on a single platform. The promise was ambitious: lakehouse, data warehouse…</description></item><item><title>Grandma HR's Apple Pie: How to Build a Resume Screening Agent in Azure AI Foundry</title><link>https://julianamarialop.github.io/en/articles/grandma-hr-apple-pie-resume-screening-agent-azure-ai-foundry/</link><pubDate>Fri, 18 Jul 2025 18:11:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/grandma-hr-apple-pie-resume-screening-agent-azure-ai-foundry/</guid><description>Remember your grandma&amp;rsquo;s apple pie? That special recipe that took hours to make, but always came out perfect? The modern Human Resources department faces a similar dilemma: how to keep the…</description></item><item><title>The New Digital Office: How AI Agents Became the Company's Most Efficient Employees</title><link>https://julianamarialop.github.io/en/articles/the-new-digital-office-how-ai-agents-became-the-most-efficient-employees/</link><pubDate>Tue, 01 Jul 2025 18:09:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/the-new-digital-office-how-ai-agents-became-the-most-efficient-employees/</guid><description>Imagine an office where the employees never get tired, work 24 hours a day, are always learning and carry out tasks with surgical precision. This scenario, which seemed like science fiction just a few years ago…</description></item><item><title>The Perfect Blueprint for Analytics on Azure: Building Solid Solutions with the Well-Architected Review</title><link>https://julianamarialop.github.io/en/articles/perfect-blueprint-for-analytics-on-azure-well-architected-review/</link><pubDate>Fri, 06 Jun 2025 15:58:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/perfect-blueprint-for-analytics-on-azure-well-architected-review/</guid><description>In today&amp;rsquo;s world, where data is the new oil (or maybe the new bricks?), building robust, efficient Analytics solutions on Azure has become a complex engineering task. Platforms like Microsoft Fabric…</description></item><item><title>Back to the Future of Pipelines: How the Azure Data Factory DeLorean Now Travels Straight to the World of Databricks Jobs</title><link>https://julianamarialop.github.io/en/articles/back-to-the-future-of-pipelines-azure-data-factory-databricks-jobs/</link><pubDate>Mon, 19 May 2025 17:54:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/back-to-the-future-of-pipelines-azure-data-factory-databricks-jobs/</guid><description>For years, data engineers have been building pipelines that connect Azure Data Factory (ADF) to Databricks, a powerful combination that often required manual tweaks and complex configuration. It was like…</description></item><item><title>Scrooge McDuck Is Changing His Mind, and It Has Everything to Do with Real Estate Tokenization and Databricks</title><link>https://julianamarialop.github.io/en/articles/scrooge-mcduck-changing-his-mind-real-estate-tokenization-databricks/</link><pubDate>Sat, 10 May 2025 22:19:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/scrooge-mcduck-changing-his-mind-real-estate-tokenization-databricks/</guid><description>For decades, Scrooge McDuck was the ultimate symbol of concentrated wealth. Owner of a colossal fortune, he preferred to keep his money in a giant vault where he could literally swim in gold coins. Only he…</description></item><item><title>Azure Databricks Delta Sharing and the Data Buffet: Pick, Serve Yourself, and Analyze!</title><link>https://julianamarialop.github.io/en/articles/azure-databricks-delta-sharing-and-the-data-buffet/</link><pubDate>Thu, 06 Feb 2025 15:11:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/azure-databricks-delta-sharing-and-the-data-buffet/</guid><description>Imagine a world where sharing data between companies is as simple as opening a delivery app and ordering your favorite meal. Instead of complicated processes, slow transfers, and worries…</description></item><item><title>Like a Well-Organized Beehive: Exploring Azure Databricks Clusters</title><link>https://julianamarialop.github.io/en/articles/like-a-well-organized-beehive-exploring-azure-databricks-clusters/</link><pubDate>Wed, 15 Jan 2025 13:45:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/like-a-well-organized-beehive-exploring-azure-databricks-clusters/</guid><description>Databricks is a robust platform for processing and analyzing large volumes of data, supporting workloads that range from data engineering to data science and business analytics. One of the…</description></item><item><title>Azure Databricks and WatsonX.data in the Heroes' Arena: Who Comes Out on Top?</title><link>https://julianamarialop.github.io/en/articles/azure-databricks-and-watsonx-data-in-the-heroes-arena/</link><pubDate>Mon, 13 Jan 2025 13:30:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/azure-databricks-and-watsonx-data-in-the-heroes-arena/</guid><description>In recent years, the need for robust platforms to analyze large volumes of data has become clear for companies looking to become more data-driven. Two of the most talked-about solutions…</description></item><item><title>The Lost World - Rescuing the Lost Art of Dimensional Modeling: A Practical Guide</title><link>https://julianamarialop.github.io/en/articles/the-lost-world-rescuing-lost-art-of-dimensional-modeling-practical-guide/</link><pubDate>Thu, 12 Dec 2024 18:38:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/the-lost-world-rescuing-lost-art-of-dimensional-modeling-practical-guide/</guid><description>With the rise of cloud data storage, working with data has become far more accessible, in terms of both time and cost. Tools such as Databricks and Microsoft Fabric have helped break down those…</description></item><item><title>May the Analytical Force Be with You: Exploring Databricks Star Wars Style</title><link>https://julianamarialop.github.io/en/articles/may-the-analytical-force-be-with-you-exploring-databricks-star-wars-style/</link><pubDate>Mon, 23 Sep 2024 15:56:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/may-the-analytical-force-be-with-you-exploring-databricks-star-wars-style/</guid><description>In recent years, Databricks has established itself as a powerful platform, much like the Force that guides the Jedi on their missions, helping companies accelerate their data and analytics projects. Just as the union between the…</description></item><item><title>Clash of the Titans: Databricks vs. Snowflake in the Mortal Data Battle</title><link>https://julianamarialop.github.io/en/articles/clash-of-the-titans-databricks-vs-snowflake-in-the-mortal-data-battle/</link><pubDate>Tue, 30 Jul 2024 15:00:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/clash-of-the-titans-databricks-vs-snowflake-in-the-mortal-data-battle/</guid><description>Databricks and Snowflake are two big names in cloud data solutions. Both platforms have been key to helping companies generate value from their internal and external data assets. Each platform…</description></item><item><title>How to Calculate the Real Cost of Azure Databricks SQL Warehouse Instances</title><link>https://julianamarialop.github.io/en/articles/how-to-calculate-real-cost-azure-databricks-sql-warehouse-instances/</link><pubDate>Sat, 29 Jun 2024 22:21:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/how-to-calculate-real-cost-azure-databricks-sql-warehouse-instances/</guid><description>Shall we learn how to calculate the cost of SQL Warehouse instances in Microsoft Azure Databricks the easy way? Then follow along with this article.</description></item><item><title>Azure Synapse Analytics vs Microsoft Fabric: How About Another Migration Project?</title><link>https://julianamarialop.github.io/en/articles/azure-synapse-analytics-vs-microsoft-fabric-another-migration-project/</link><pubDate>Tue, 30 May 2023 17:44:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/azure-synapse-analytics-vs-microsoft-fabric-another-migration-project/</guid><description>In May 2023, Microsoft announced Microsoft Fabric. This new solution extends the integration promise made in Azure Synapse Analytics to cover every analytics workload, and it can be used…</description></item><item><title>Big Data Architecture: Choose the Right Plumbing for Your Pipelines</title><link>https://julianamarialop.github.io/en/articles/big-data-architecture-choose-the-right-plumbing-for-your-pipelines/</link><pubDate>Mon, 15 Jun 2020 16:40:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/big-data-architecture-choose-the-right-plumbing-for-your-pipelines/</guid><description>Last week, I wrote an article about data pipelines (check it out here) covering the main characteristics of a robust and optimized build, ideally using a…</description></item></channel></rss>