We're happy to share that our Slack community for data best practices and open source data stacks and Meltano now has over 4,000 members! So.... if you want to discuss - How to deal with the ELT vs ETL debate - How to best test your specific data pipeline - How to deploy dbt & Meltano together on GitHub Actions to save 80% of your data stack cost - Or anything else data-related Join https://meltano.com/slack today!
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In this blog, we explore the innovative journey of our Business Intelligence team in enhancing collaborative efforts and productivity through two pivotal tools: an organisational GitHub account and a custom R package. Dive into the purpose, development, and impact of these tools, reflecting our dedication to adopting a culture of shared knowledge and efficient workflows in data science. Read more here: https://lnkd.in/e2Rfh9mT #Rpackage #GitHub #DataScience
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Empowering businesses to harness the full potential of data | Best-Selling Author | Founder of Mastering Snowflake Program
In this video we take a look at Fivetran. Specifically, we look at how you can configure Fivetran to execute dbt transformations by integrating it with Github. We also look at Snowflake zero copy cloning. https://lnkd.in/gmBwW3av
How to automate you data pipelines using Fivetran and dbt on Snowflake | Tutorial for beginners
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💻 Don't miss our next open LIVE demo of R4J - Requirements for Jira Data Center 📅 Date and Time: Feb. 22nd 2024 at 3pm (CET) 👉 Register:https://buff.ly/3vYZ33G We will dive in a real system and show you the main features of R4J like - Tree structure - Views - Baselining - Import/Export Options Get to know R4J for Jira data center and ask your very on questions! #R4J #livedemo #jira
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Data Scientist | MBA | Python | R Language | SQL | Databricks | Machine Learning | Packt Publishing Author | I extract insights from data for business decisions.
Here is a great tip about Data Visualization: this GitHub repo with ideas on how you can build better data visualization. https://lnkd.in/gY7TMZ36 I give you an example. Look at these three charts created to compare means and how they tell very different stories. This is the kind of information in this repository. It is worth a star. #datavisualization #datascience #github
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Query Scheduling and Data Loading with ByteHouse and Airflow An illustration of how you can connect Apache Airflow with ByteHouse CLI to schedule your query and data loading - https://lnkd.in/gTmAjKfh #dataengineering #bytehouse #apacheairflow
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ICYMI: STREAMS ARE OUT!! Streams connects 17 chains and 26 networks to multiple destinations, including webhooks, S3-compatible storage, SQL, and Snowflake. It's the foundation of our ETL pipeline vision. Check out the video, and then start building with our guide below https://lnkd.in/gnwk9w5x
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🚀 Exciting news! You can now trigger multiple Dataiku flows separately or in parallel using Apache Airflow! 🎉 Simply create scenarios for each flow in Dataiku, grab their scenario IDs, and initiate the desired flows directly from your Airflow DAGs. Learn more about this powerful integration in my latest Medium article: https://lnkd.in/gXk5WDrV #DataScience #WorkflowAutomation #ApacheAirflow #DataikuIntegration ✨#DataEngineer
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[Video] Introducing #Couchbase Capella Columnar Services - a first-of-their-kind columnar analytics for JSON data that will deliver scalable, real-time analysis, with multisource zero ETL, and operational write-back. Operational Analytics Demo 📊
Couchbase Capella Columnar Services - Operational Analytics Demonstration
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Systems Engineer · Data Analyst · Aspiring Data Scientist · Passionate about Data · Longlife Learner
Just finished the course "ETL and Data Pipelines with Shell, Airflow and Kafka" 🙂 Check it out: https://lnkd.in/e8srkgpT
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"Excited to share my journey mastering data structures! 💻 Check out my GitHub repository for comprehensive implementations of string, arrays, linked list,Recursion, stack, queue, hash tables,Defferent types of sortings, tries, graphs, BSTs, Heap and more. Dive into the world of efficient algorithms and data management with me: For any clarification go through my github : https://lnkd.in/ga_V83cX
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Dr. Sven Balnojan Douwe Maan 🚀 Taylor A Murphy, PhD Pat Nadolny Ken Payne Derek Visch Matt Menzenski