#AnalyticsEngineering

The difference between a beginner and a senior SQL analyst isn’t syntax. It’s planning, validating data, optimizing performance, and writing queries others can trust and maintain. Clean SQL solves problems. Great SQL prevents them. #SQL #DataAnalytics #AnalyticsEngineering #CareerGrowth #DataCareers Like, Retweet, Bookmark and Follow @aiguidehq for more such posts

The difference between a beginner and a senior SQL analyst isn’t syntax. It’s planning, validating data, optimizing performance, and writing queries others can trust and maintain. Clean SQL solves problems. Great SQL prevents them. #SQL #DataAnalytics #AnalyticsEngineering #CareerGrowth #DataCareers Like, Retweet, Bookmark and Follow @aiguidehq for more such posts

Great talk from @jthandy, CEO & Founder of @dbt_labs, on #AnalyticsEngineering and the converging workflows of #analytics and #ML.

How amateurs approach data analysis: - Master Excel, SQL, Python & PowerBI - Let tools dictate solutions How pros do it: - Understand the business problem first - Choose the simplest tool for the job Tools don't solve problems. You do. #DataAnalytics #AnalyticsEngineering

Just shipped Shopflow, a fully automated e-commerce analytics pipeline Python → BigQuery → dbt → GitHub Actions → Power BI 28 data quality tests. Daily automation. Zero manual steps Repo: #AnalyticsEngineering #dbt #BigQuery #DataAnalytics

Just completed an ELT Data pipeline #dataengineering #dataanalysis #analyticsengineering #datamodeling Practiced data modeling using dbt and SQL GitHub repo below 👇🏾

The difference between a beginner and a senior SQL analyst isn’t syntax. It’s planning, validating data, optimizing performance, and writing queries others can trust and maintain. Clean SQL solves problems. Great SQL prevents them. #SQL #DataAnalytics #AnalyticsEngineering #CareerGrowth #DataCareers

Should Dashboards Be Responsible for Business Logic? Probably not. But many companies turned dashboards into production infrastructure anyway. That is why metrics drift and systems become fragile. #dataengineering #analyticsengineering #semanticlayer #businessintelligence #ai

Look what finally made it into our hands! 📚🤩 Analytics Engineering with Microsoft Fabric and Power BI is officially a real, physical book! @ShbWatson #MicrosoftFabric #PowerBI #AnalyticsEngineering #OReilly #MicrosoftData

Does #analyticsengineering have a brighter future than #dataengineering? I'm noticing a trend in big data where pipelines are getting easier to build. The hard part of pipelines isn't the technical details but capturing all the business nuances. 1/4

Why Data Products Need Stable Interfaces Applications need stable interfaces. Not direct access to tables, schemas, and query logic. That is what separates a data product from raw data. #dataengineering #analyticsengineering #dataproducts #analyticsbackend #ai

Embedded Analytics Quietly Creates Backend Complexity Embedded analytics is rarely just frontend work. Most of the complexity lives underneath: permissions, APIs, and analytical runtime behavior. #dataengineering #analyticsengineering #embeddedanalytics #semanticlayer #ai

Why Is Analytical Logic Scattered Across So Many Systems? Most teams do not have one analytical system. They have the same analytical logic copied across many systems. That is where drift begins. #dataengineering #analyticsengineering #semanticlayer #modernstack #ai

It's official, I'm a speaker for @coalesceconf! I'm on the Speaker page and everything 🤩 #coalesce2022 #analyticsengineering #datatesting

Introducing DBTLint 🔍 A linter for your dbt projects — catch issues, get a clarity score, and keep your data models clean before they ship. Check it out👇 #dbt #sqlfluff #analyticsengineering

3 fantastic open-source Airflow alternatives to try in 2024 👇 1️⃣ @meltanodata 2️⃣ @mage_ai 3️⃣ @kestra_io Bonus: @EstuaryDev They all talk about AI, and I still don’t know why. #data #dataengineering #analyticsengineering #orchestration

Day 125 I completed the final course in my dbt series. Finally💃💃💃 #100daysofcode #DataAnalytics #analyticsengineering #dbt

Should Customer Dashboards Have Their Own Backend? Most customer dashboards become analytical systems. The real question: is the backend intentional? gaur is building a runtime for analytical data. #dataengineering #analyticsengineering #embeddedanalytics #semanticlayer #ai

Customer Facing Analytics Is Harder Than It Looks The charts are easy. The hard part is everything underneath them. Permissions, semantics, APIs, and analytical runtime behavior. #dataengineering #analyticsengineering #embeddedanalytics #semanticlayer #ai

dbt transforms analytics by applying software engineering practices to data workflows within warehouses, focusing on transformation. #DataTransformation #AnalyticsEngineering #DBT