Leverage Cloud Functions and APIs to Monitor Cloud Dataprep Jobs Status in a Google Sheet
If you manage a data and analytics pipeline in Google Cloud, you may want to monitor it and obtain a... more
Automate your Google Cloud Data Warehouse on BigQuery with Cloud Dataprep
Today’s blog is a guest post from Geoffroy de Viaris, a Data and Analytics Project Manager at a high... more
How to Automate a Cloud Dataprep Pipeline When a File Arrives
With a better mastery of Cloud Functions, you can trigger a Dataprep job via API when a file lands in a Cloud... more
What is Data Structure? Using Basic Data Structures to Organize Like Martha Stewart
How can Martha Stewart be of any relevance in a blog post titled “What is data structure?” Stay with us... more
Building An Effective Cloud Data Lake with Trifacta
Ask a number of organizations what kind of data they use and they’ll likely each give you a different... more
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ETL Tools and Data Wrangling: What’s the Difference?
The extract, transform, and load process (ETL process), and ETL tools, have been the de facto way to move and... more
Why Cloud-Native Data Preparation is Superior to Desktop Alternatives
Happy 2020 everyone! A new decade comes with new perspectives. For companies striving to use data to drive... more
Is ETL Dead? ETL vs. Data Wrangling in the Cloud
Is ETL dead? It’s a question that has come up a lot in recent years as organizations modernize their... more
Five Tips for Optimizing Self-Service Analytics on Google Cloud Platform: Part Five
So you’ve decided to transition (at least in part) your data analytics to the cloud. More specifically, you... more
What is Azure Data Lake and How to Refine It with a Modern Data Wrangling Solution
Microsoft Azure Data Lake is a highly scalable cloud service that allows developers, scientists, business... more
Five Tips for Optimizing Self-Service Analytics on Google Cloud Platform: Part Four
So you’ve decided to transition (at least in part) your data analytics to the cloud. More specifically, you... more
What’s New For Trifacta On Microsoft Azure
As the global leader in data wrangling, Trifacta continues to innovate by introducing new capabilities on... more
Five Tips for Optimizing Self-Service Analytics on Google Cloud Platform: Part Two
So you’ve decided to transition (at least in part) your data analytics to the cloud. More specifically,... more
Five Tips for Optimizing Self-Service Analytics on Google Cloud Platform: Part One
So you’ve decided to transition (at least in part) your data analytics to the cloud. More specifically,... more
Snowflake Data Prep for Data Scientists, Data Analysts and Data Engineers
Snowflake’s unique architecture allows organizations to store a wider variety of data formats and data... more
Google Data Fusion and Other Transformation Services for BigQuery Dataprep
The good news is, when it comes to moving and transforming data for analytics built on top of BigQuery, the... more
Cleaning Data From Snowflake Database Storage Layers
What is a Snowflake database? Snowflake is a cloud data warehouse that provides various layers for cloud... more
Data Preparation Best Practices for Snowflake’s Cloud Data Warehouse
Snowflake is known for their separation of storage and compute, which makes scaling data more efficient.... more