#Raw Data Synonym

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#Raw Data Synonym Reel by @saturdatapodcast - Sam and Shifra drop a golden rule every data engineer needs to hear: always name your columns explicitly. If your upstream table changes, you want y
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@saturdatapodcast
Sam and Shifra drop a golden rule every data engineer needs to hear: always name your columns explicitly. If your upstream table changes, you want your pipeline to break loudly so you can fix it fast rather than silently bloat your storage costs for months. Think of it as a built-in data quality check! 💥 #reels #saturdata #data #dataengineering SQL pipelinetips dataquality
#Raw Data Synonym Reel by @datageekismyname - Full Video on YouTube. Click link in my bio to watch... Follow & Subscribe. How Data Analysts Build Dashboards from Databases (Postgres → Power BI)
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@datageekismyname
Full Video on YouTube. Click link in my bio to watch... Follow & Subscribe. How Data Analysts Build Dashboards from Databases (Postgres → Power BI) Want to know how data analysts go from a database to a live dashboard? This short breaks down the full PostgreSQL to Power BI workflow — from installing PostgreSQL to building a dashboard connected directly to your database. You’ll learn: - How to install PostgreSQL & pgAdmin - Create databases and tables - Import data - Connect PostgreSQL to Power BI Build dashboards (coming next!) 👉 Watch the full series on my channel and follow Data Geek is my name for beginner-friendly data tutorials. Follow @datageekismyname #sql #postgresql #data #powerbi
#Raw Data Synonym Reel by @bigdatayatra - 🚨 How do companies process TBs of data daily? 😱 Batch Processing with Apache Spark 🔥 Instead of handling records one by one, Spark processes h
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@bigdatayatra
🚨 How do companies process TBs of data daily? 😱 Batch Processing with Apache Spark 🔥 Instead of handling records one by one, Spark processes huge datasets in parallel across clusters 🚀 Distributed computing. Massive scalability. Backbone of modern data pipelines 😈 If you want to become a Data Engineer, understanding Spark batch processing is essential. 👉 Visit www.bigdatayatra.com All views are my own. #spark #dataengineering #bigdata #instareels #viral 🚀🔥
#Raw Data Synonym Reel by @mydbops_global - PostgreSQL disk growing even though replication looks fine? WAL retention issues usually show up late, when storage is already under pressure. Logica
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@mydbops_global
PostgreSQL disk growing even though replication looks fine? WAL retention issues usually show up late, when storage is already under pressure. Logical replication slots, inactive subscribers, slow consumers… all of these can silently hold back WAL cleanup. We broke this down in our latest blog. We cover: • How WAL retention actually works • How replication slots prevent cleanup • How to detect inactive or lagging slots • How to inspect WAL files and monitor growth • What to check before it becomes a production incident If you manage PostgreSQL in production, this is something you should verify today, not after disk alerts start firing. Read the full blog here: https://www.mydbops.com/blog/postgresql-wal-file-retention #PostgreSQL #Postgres #DBA #DataEngineering #DatabaseManagement #WAL #Replication #LogicalReplication #HighAvailability #PgSQL
#Raw Data Synonym Reel by @tech_tonic_s - ▶️ Using multiple databases is a waste of money when PostgreSQL ("Postgres") can handle most requirement from a traditional relational database (RDBMS
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@tech_tonic_s
▶️ Using multiple databases is a waste of money when PostgreSQL ("Postgres") can handle most requirement from a traditional relational database (RDBMS) into a highly extensible, "all-in-one" data platform. ✅ Postgres often eliminates the need for specialized systems (like MongoDB, Redis, or Elasticsearch) for 99% of use cases, saving on infrastructure, licensing, and, most importantly, engineering overhead. ▶️ Why Postgres "Does It All" (The Case for Consolidation) ➡️ Document Store (JSONB): Postgres allows you to store and query JSON data, offering performance that rivals MongoDB. ➡️ Vector Search (AI/LLMs): With pgvector, you can store, index, and search embeddings for AI applications directly in SQL. ➡️ Time-Series Data: Extensions like TimescaleDB turn Postgres into a high-performance time-series database, handling IoT and metrics data efficiently. ➡️ Full-Text Search: pg_textsearch provides advanced search capabilities, including ranking and synonym mapping, removing the need for Elasticsearch in many cases. ➡️ Geospatial (GIS): PostGIS is the industry-standard for geospatial data, often superior to specialized proprietary GIS software. ➡️ Queuing: pgmq or SKIP LOCKED patterns allow Postgres to handle messaging queues. ➡️ Massive Horizontal Scaling: Postgres is designed to "scale up" (more CPU/RAM) rather than "scale out" (horizontal sharding). ➡️ Extreme Read-Heavy Latency: If you need single-digit millisecond responses on a massive, read-only dataset that exceeds memory, specialized in-memory solutions might be necessary. ➡️ Complex Graph Relationships: While Postgres can do recursive queries, a dedicated graph database like Neo4j is superior for complex, deep-path relationship modeling #postgres #sql #dbmanagement #postgresql
#Raw Data Synonym Reel by @spadetechnologies - Optimize before blaming 🗄️⚡ #MythVsFact #DatabaseTruth #SpadeTechnologies [database, sql, performance, optimization, backend]
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@spadetechnologies
Optimize before blaming 🗄️⚡ #MythVsFact #DatabaseTruth #SpadeTechnologies [database, sql, performance, optimization, backend]
#Raw Data Synonym Reel by @chi_nonso__ - CSV projects are great for learning. But if you want to get hired in 2026, that's not enough. In real jobs, data doesn't live in CSV files. It lives
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@chi_nonso__
CSV projects are great for learning. But if you want to get hired in 2026, that’s not enough. In real jobs, data doesn’t live in CSV files. It lives in databases. That means recruiters want to see that you can: • Prepare data in SQL • Engineer clean, reusable queries • Connect directly to SQL Server • And turn that data into business insights in Power BI That’s exactly what this project shows. This is a full end-to-end data analytics workflow — from SQL → data modeling → Power BI dashboards. You can replicate it. You can personalize it. And you can use it to strengthen your portfolio. If you want the project brief, SQL queries, and Power BI dashboard template 👇 Comment “DA PROJECT” and I’ll send it to you. #DataAnalytics #SQL #PowerBI #dataanalyst #data
#Raw Data Synonym Reel by @mindseterp - Part 6 of Mindset's BDC/Datasphere Discovery Series explores Data Modeling. Want to leverage BDC/BTP/Datasphere in your environment? Reach out, we ca
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@mindseterp
Part 6 of Mindset's BDC/Datasphere Discovery Series explores Data Modeling. Want to leverage BDC/BTP/Datasphere in your environment? Reach out, we can help! #SAP #SAPBTP #SAPBDC #SAPBuild #SAPCleanCore #SAPAI #SAPCommunity #SAPapphauspartner #sapapphausnetwork #sapgoldpartner, #sapams
#Raw Data Synonym Reel by @iresearch_academy - Labels ≠ values - don't mix them up 📊 In SPSS/R, labels are just names; the data underneath is still numeric. Always check the actual codes before an
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@iresearch_academy
Labels ≠ values — don’t mix them up 📊 In SPSS/R, labels are just names; the data underneath is still numeric. Always check the actual codes before analyzing or modeling. Save this tip & share it with every SPSS user you know 🔁 #DataAnalysis #SPSS #RStats #StatisticsTips #DataCleaning ResearchSkills CodingTips
#Raw Data Synonym Reel by @its_justdami - Just completed my first SQL project! I went from zero to querying like a pro, exploring databases, joining tables, and finding insights that actually
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@its_justdami
Just completed my first SQL project! I went from zero to querying like a pro, exploring databases, joining tables, and finding insights that actually matter. If you’ve ever wanted to see how SQL can turn raw data into answers, this is for you. Fun fact: I learned how to filter, sort, and analyze data just like the pros do! Can’t wait to dive deeper and build even cooler projects! #SQL #DataAnalytics #FirstProject #viral
#Raw Data Synonym Reel by @learning._log - SQL Trick #2 ⚡ Want to instantly find the top values in your data? Use ORDER BY to sort and LIMIT to restrict the results. Two simple commands → po
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@learning._log
SQL Trick #2 ⚡ Want to instantly find the top values in your data? Use ORDER BY to sort and LIMIT to restrict the results. Two simple commands → powerful insights. #SQL #DataAnalytics #LearnSQL #DataAnalyst SQLTricks
#Raw Data Synonym Reel by @stormatics_tech - Database transactions: What happens on failure? Watch the complete webinar: https://resources.stormatics.tech/designing-highly-available-postgres-for
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@stormatics_tech
Database transactions: What happens on failure? Watch the complete webinar: https://resources.stormatics.tech/designing-highly-available-postgres-for-continuous-operations . . . . . . . . . . . . . . . . . . . [ postgresql postgres database sql developer coding programming backend backend developer software engineer tech startup saas fintech data engineering data engineer database performance query optimization slow queries fix slow queries indexing gin index gist index pg_trgm trigram search like query wildcard search infix search full text search database tuning devops cloud engineer kubernetes aws gcp azure scalable systems system design tech webinar engineering leadership database architecture coding life programmer problems build in public tech content learn sql advanced sql database tips performance tuning production database startup tech india usa europe remote work engineering reels ]"

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