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Tag: data wrangling

Numbers Station Sees Big Potential In Using Foundation Models for Data Wrangling

A startup called Numbers Station is applying the generative power of pre-trained foundation models such as GPT-4 to help with data wrangling. The company, which is based on research conducted at the Stanford AI Lab, has Read more…

The Flow of Data: What Internal Workflows Look Like for the Media and Entertainment Industries

To say that creative organisations will revert back to operating in the exact same ways they once did prior to the Covid-19 pandemic is a very unlikely statement. In the past year, fully cloud-based operations and hybrid Read more…

Meet 2021 Datanami Person to Watch Joe Hellerstein

Joe Hellerstein is a busy guy. When he's not working as the chief strategy officer at Trifacta, he's teaching computer science courses at U.C. Berkeley or advising grad students at the prestigious RISELab. But we managed Read more…

Room for Improvement in Data Quality, Report Says

A new study commissioned by Trifacta is shining the light on the costs of poor data quality, particularly for organizations implementing AI initiatives. The study found that dirty and disorganized data are linked to AI p Read more…

Data Wrangling – Balancing Self-Service with Governance

Most organizations understand the importance of fully leveraging the large quantities of data available to them. Yet, most of these organizations are running into a bottleneck that is a relic of old, IT-driven data trans Read more…

What is Data Wrangling?

To start to answer this question, let’s consider the high level objective of most data professionals: take data close to the source, and turn that data into value. This value can be utilized in a few ways. Data can dri Read more…

Trifacta Cashing In On Cloud Analytics

Reflecting the booming market for data preparation technologies, many centering on emerging serverless tools, market leader Trifacta recently announced a $48 million funding round. Among the new investors is Google, whic Read more…

Data Prep Goes Serverless

The rise of platforms in which cloud providers manage the allocation of computing and storages resources has opened the door to new data services such as serverless data preparation tools. The list of self-service data p Read more…

U.S. Voter Data Gets Wrangled

The unforeseen outcome of the 2016 U.S. presidential election underscored the need for more granular data about the American electorate and its attitudes. Save for a few datasets focusing on national campaign contributio Read more…

ClearStory Patent Covers Data Harmonization Tool

A U.S. patent awarded this month to ClearStory Data, the big data preparation tool specialist, covers its automated data harmonization tool designed to work across disparate data sources and a variety of data types. S Read more…

Architecting Immediacy-The Design of a High-Performance Portable Wrangling Engine

At Strata + Hadoop World San Jose this week, I will present with my fellow Trifacta colleague, co-founder Joe Hellerstein, a session entitled “Architecting immediacy: The design of a high-performance, portable wranglin Read more…

Trifacta Tops Off with $35 Million Round as Big Data Sales Kick In

Data wrangling software developer Trifacta today announced that it took in another $35 million in venture funding, bringing the three-year-old company's total funding to $76 million to date. The company's CEO tells Datan Read more…

Trifacta Goes Back to the Future with Free ‘Wrangler’

Trifacta hearkened back to its roots in free software with today's launch of Wrangler, a new data preparation tool for Windows and Mac desktops. The free tool is designed to automate much of the process of cleansing dat Read more…

Trifacta Seeks Truce Between Data Wranglers and IT Chieftains

Trifacta today unveiled an updated version of its big data transformation software that should make it easier for data wranglers to adhere to the data management and security requirements of the corporate IT department. Read more…

Six Core Data Wrangling Activities

With the growing adoption of big data infrastructure technologies like Hadoop has come increased awareness of the different activities involved in successful Hadoop-based analyses. Specifically, users have come to apprec Read more…

Big Data’s Dirty Little Secret

The twin phenomena of big data and machine learning are combining to give organizations previously unheard of predictive power to drive their businesses in new ways. But behind the big data headlines that tease us with t Read more…

Can Smarter Machines End the Pain and Expense of Data Wrangling?

Like Alan Turing’s vision to create smarter machines to crack the Enigma Code in World War II, we now sit at a critical juncture to solve the significant pain and expense of data wrangling that most big companies face Read more…

From Data Wrangling to Data Harmony

More and better automation tools such as machine-learning technologies are needed to free data scientists from mundane "data-wrangling" chores. Those tools would allow scientists to focus on gleaning insights from prepar Read more…

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