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Dive into the world of data analytics with expert insights and practical guides.

eamwork in data project management, like rowers in sync, is crucial for success. Discover strategies to keep your data projects on track.

7 Key Strategies I Learned from 5 Years in Data Project Management

By Kristi Smith Effective data project management is key to the success of any data project. Over the past five years of managing these projects at Red Pill Analytics, I’ve learned that having the right strategies in place makes all the difference. Here’s what I’ve found works best: 1. Define Clear Objectives Start with a […]

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Data Analytics, Elastic Delivery, project management, Team Collaboration

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Person walking through a labyrinth, symbolizing the complexity of solving the dbt row_count package bug

Behind the Error Message: Solving row_count package bug in dbt

By Tatum Brannan Photo by Photo by Ashley Batz on Unsplash Exploring dbt Test Features Struggling with the dbt row_count package bug? Follow our step-by-step guide to quickly resolve the issue and keep your data pipeline running smoothly. dbt provides a variety of intrinsic testing options. Among these, you’ll find fundamental tests like unique, not_null, accepted_values, and

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Data Engineering, dbt
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Master dbt Testing: How to Avoid False Negatives when Testing Between Project Layers

We have a small project with four layers:   1. Raw — incoming raw data2. Validation —Relationship and data validations. Transformations into facts and dims3. Reporting — joining facts and dims to meet presentation requirements4. Business Application — presentation layer. Views, with security where needed, of the reporting objects When we added relationship tests between project

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Business Intelligence, Data Engineering, dbt

Managing Snowflake Data Warehouse Compute in OBIEE

How to Dynamically Set a Snowflake Virtual Warehouse Congratulations! You just configured Oracle Business Intelligence Enterprise Edition (OBIEE) to connect to your freshly loaded Snowflake Data Warehouse instance and you’re feeling pretty good. Maybe your OBIEE dashboards are finally meeting SLAs, you’re not sitting with a DBA trying to tune SQL statements, your data is finally all in

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Business Intelligence, Cloud Computing, Data Warehousing, Looker, Snowflake
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OAC Extending Dimensional Attributes by Blending Data

Blending Data in Oracle Analytics Cloud allows us to share additional dimensions or measures from one data set with those from another, without having to do complicated metadata modeling using RPD functionality. This is a great feature for user-sourced categorizations and can empower users to utilize Data Visualization instead of forcing them to export into

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Business Intelligence, Cloud Solutions, Data Analytics

Snowflake Data Warehouse and AWS Lambda

Serverless computing is here to stay, and while the term “serverless” is a bit of a misnomer, the concept offers many benefits. Most notably, serverless computing allows developers to focus on writing code and not concern themselves with provisioning, configuring, or maintaining servers. One such example of serverless computing is AWS Lambda. Although there are

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AWS, Cloud Computing, Data Integration, Serverless Architecture, Snowflake, Snowflake Computing
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