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Posts about Technology

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

  |  January 21, 2020

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,... more

  |  January 6, 2020

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

  |  December 31, 2019

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,... more

  |  December 18, 2019

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

  |  December 16, 2019
 

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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

  |  November 21, 2019

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

  |  November 12, 2019

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

  |  October 29, 2019

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

  |  October 25, 2019

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

  |  October 24, 2019

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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

  |  October 1, 2019

Trifacta for Snowflake: Data Prep for your Cloud Data Warehouse & Data Lake – Part 3

In Part 3 of this blog series, we will be looking at how Trifacta helps improve accuracy, speed, and ease... more

  |  September 30, 2019

Getting Clinical Trial Data Ready for Analysis: How IQVIA Wrangled its Way to Success

The following is a guest post from Trifacta customer, Yogesh Prasad is an Associate Director of IT at IQVIA,... more

  |  September 25, 2019

How To Use a Modern Data Prep to Optimize AI and ML on AWS

At a recent Trifacta hosted AWS DevDay in San Francisco – a free, hands-on workshop event co-sponsored... more

  |  September 24, 2019

Cloud Dataprep Enhancements: Macros, Transform by Example and Cluster Clean

Cloud Dataprep by Trifacta’s September ‘19 Release brings three great new features: Macros, Transform by... more

  |  September 11, 2019

Refining Your AWS Data Lake with Trifacta

Earlier this month, Amazon announced the general availability of the AWS Lake Formation, a fully managed... more

  |  August 23, 2019

Trifacta for Snowflake: Data Prep for Your Cloud Data Warehouse or Data Lake – Part 1

Recently, we announced our native integration with Snowflake’s zero management cloud data warehouse. This... more

  |  July 10, 2019

June ‘19 Release — Transform by Example and Enhanced Recipe Interactions

Trifacta’s June ‘19 Release brings two great new features, Transform by Example, and Enhanced Recipe... more

  |  June 24, 2019