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Tag: data pipeline
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What are the challenges of creating a data product?
Data product development is hard. Really hard. It’s hard to come up with a good idea, it’s hard to build something people want to use, and it’s hard to keep the thing alive once it’s been released.
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The shift from data pipelines to data products
The shift from data pipelines to data products is a major trend in the industry today. Data products are more sophisticated and provide more value than data pipelines. They are the next step in the evolution of data management.
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Hur du får dina stakeholders att sluta tvivla och ifrågasätta vår data
Hur ofta har du fått ett meddelande från en stakeholder som säger att en dashboard är nere, data inte har uppdaterats på en vecka eller att specifika siffror ser fel ut? Detta har hänt alldeles för många gånger för att räknas. Varför är det så?
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#simpleit: How to build a data platform without a budget
This article is for small companies that may not have a dedicated data team or just a single resource to operate a data platform. The focus of this article is on a small business data platform setup. This article will show how to create the best data platform for your organization without a data budget.…
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#dataset: Creating a dataset using an API with Python
For any data analytics project I do, the first thing that I need is a dataset. I have put together a list of online datasets that you can use for your various analytics, there are sometimes you wish to extract data on your own and begin your own investigation.
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#datapipeline: YouTube Analytics to BigQuery with Airbyte
You cannot simply rely on YouTube to derive maximum value for your business. It would be best if you combined YouTube and Google’s BigQuery to make more robust analytical insights and, in turn, drive increased revenue and growth to your YouTube channel. This data pipeline will demonstrate how you can easily leverage Airbyte to do…
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Endangered Languages Around the World
Recently in my newsfeed, I came to see a note that 21st February was the International Mother Language celebration day, this “piqued my interest” further, so I started to read up on what the celebration was all about and it lead me into the area of Endangered Languages.
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What is reverse ETL and why do you need it
Reverse ETL empowers data teams to easily prep bulk data, move it outside the cloud data warehouse, and operationalize it for their organization. Data is helpful, but its actual value is only realized when it is made actionable.
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What is Reverse ETL?
The data engineering industry has evolved from Extract, Transform, Load (ETL) to ELT, where raw data is copied from the source system loaded into a data warehouse or data lake and then transformed. The current trend is to adopt a new approach, called “reverse ETL,” the process of moving data from a data warehouse into third-party…
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How to build a centralized and secured Data Catalog on Google Cloud Platform
Time is money, to organize your data in a Data Catalog is one of the first steps to give visibility to organizations’ data and to save time by employees to find data in the organization.