December Legend: Alex Hardman
Alex is an avid Trifacta user and is championing Trifacta at Rezco Asset Management which was established in 1981 in South Africa with a deliberate focus on preserving capital and creating wealth.
November Legend: Angel Aponte
Through advanced machine learning (ML) techniques and the use of key technologies like Trifacta, Ángel has built a COVID-19 Diagnosis Tool that helps healthcare professionals better respond to COVID-19 cases.
Why ESADE MIBA Students Learn to Use Trifacta and AWS
The MIBA programme at ESADE focuses on how data-driven technologies are reshaping the world. We approach this transformation from three different perspectives: Business, Data Science, and Engineering. In the real world, the engineering part related to data sciences is progressing quickly thanks to the democratization tools and platforms that allow companies to streamline and industrialize […]
Trifacta Legend October 2020: Misagh Jebeli of Inhabit IQ
Misagh Jebeli is truly an innovator in the data and analytics space. In the very first IT class he ever took, the teacher went over how Walmart uses data to arrange items in their shelves to boost sales. That was the moment Misagh fell in love with data.
Cleanse Salesforce Address Data using Cloud Dataprep by Trifacta
Introduction We’ve all been there. Imagine having an upcoming event where sponsors are to receive a personalized invitation in the mail for your event. Before any mail can be sent, the sponsors must first be available in Salesforce for event registration and post-event surveys. These sponsors don’t already exist in Salesforce so we must upload […]
Humble Brag: Users Say We’re the Best at Data Prep in G2’s Fall Reports
At Trifacta, one of our key pillars is to start with the user. Everything we do is to empower the people who use Trifacta to do more with their data, do it faster and do it better. Today, Trifacta was named as a leader in the G2 Grid for Data Preparation as well as the top […]
September Legend: Christopher Dean
Christopher Dean is a rising star in the data and analytics space. Earlier this year Christopher was named one of DataIQ’s 100 most influential people in data. In his interview below, it’s obvious why.
Unveiling New Cloud Data Warehouse Use Cases for Cloud Dataprep at Google Next ‘20
The biggest news for all things Google Cloud can be found at the Google Cloud Next conferences in the US and in Europe. This year it’s being dubbed Google Cloud Next ’20: OnAir in light of its transition from an in-person even to a multi-week digital event series. During our virtual Next ‘20 presentation, we […]
Guidance from Gartner: The Current and Future State of the Data Preparation Market
I’ve been thinking about the intersection of data, guidance, and action. Here in the United States, we’re still in the teeth of COVID19, awash in data that’s changing constantly and is difficult to trust. It’s confusing and frustrating. You want guidance from a reputable source so that you can adapt quickly and get back to […]
PlusUp Prepares Social Media Data 90% Faster with Trifacta onboarding their BigQuery Cloud Data Warehouse
Ask a marketer for their opinion on social media and they’ll likely give you some version of this: it’s important, but seemingly impossible to measure well. Why? For starters, there’s a huge amount of factors that can optimize any given social media post (ad copy, images, promotions, target demographics, etc.) and properly testing those factors […]
How to perform an incremental load to your cloud data warehouse using Trifacta
Most of our customers who use Trifacta for cloud data warehouse use cases want to source tables from transactional systems that update with new records on a daily or weekly cadence. However, performing full loads of these systems to the data warehouse often leads to continually growing data volumes and increasingly long processing times. In […]
Episode 4: Collaborative Data Prep
Every dataset that matters deserves a second set of eyes on it. But how can you review a dataset if you don’t know what steps have been taken to create it? In the past, analysts might’ve verbally run through how the dataset had been transformed to get sign-off, or at the very least written down their steps. In the fourth video of our Data School series, Professor Joe Hellerstein shows us modern methods of how to effectively collaborate on data preparation (and get his grades turned in on time).
August Legend: Joe Roy
Joe Roy has been a data enthusiast for the past 20 years and has a vast amount of experience in different industries including Financials Services, Healthcare, Retail and Energy.
Trifacta Legend July 2020: John Gardner of Autodesk
John Gardner is an experienced Senior Business Intelligence Analyst with a passion for uncovering actionable insights from complex data sets to drive smarter business decisions.
Trifacta Legend June 2020: Zack Pike of Callahan
Zack and his team at Callahan are using Google Cloud Dataprep by Trifacta to clean, prepare and get value out of the data they receive from customers.
Why My Data Journey Led Me to Trifacta
I am honored and very excited to join the Trifacta family as our Chief Customer Officer. I am excited by Trifacta’s mission to empower teams to make better decisions by changing the way the world works with data. I have spent the past 20 years in the analytics space and have consistently tried to empower […]
Teaching the Principles of Data Cleaning at Northwestern University with Chicago Police Misconduct Data
The following is a guest post from Jennie Rogers, Assistant Professor at Northwestern University. Knowing the fundamentals of data cleaning and preparation is essential for any budding data scientist. Yet this topic is rarely addressed in data science curriculums, since they are more likely to emphasize performing analysis on already-cleaned data – without typos, mismatched […]
Episode 3: The Role of AI in Data Prep
What is AI’s role in the data preparation process? It doesn’t take much more than asking Siri to clean your data to realize that we can’t sit back and let AI take care of all of our data preparation needs. In session 3 of the Data School with Professor Joe Hellerstein, Joe takes a look at how human intelligence, and artificial intelligence, can work together to make data cleaning easy and intuitive.