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Data School

Presenting The Data School, our online resource for people who work with data

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From Messy Files
To Automated Analytics

The fastest way to prep data and build data pipelines

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100.000 Nutzer arbeiten mit Trifacta

 

Mit smarten Data-Prep Self-Services zu schnelleren Analysen

  • Data Quality
  • Data Transformation
  • Data Pipelines

Daten explorieren und bewerten

Der Nutzen der Analyse steht und fällt mit der Datenqualität. Trifacta hilft, das Potenzial von Rohdaten einzuschätzen, und sie ebenso schnell wie akkurat zu bereinigen.

Daten bereinigen, integrieren und normieren

Daten transformieren ganz ohne Programmieren. Durch visuelle, smarte Nutzerführung beschleunigt Trifacta den Weg zur Erkenntnis.

Analyseprozesse automatisieren

Manuelle Dataprep-Routinen lassen sich nur schwer skalieren. Mit Trifacta dauert es nicht Monate, sondern nur Minuten, Data-Pipelines anzulegen, auszurollen und zu pflegen.

 

So hilft Trifacta

Reporting und Analyse

Trifacta verknüpft, filtert, bereinigt und aggregiert Daten zur Auswertung mit Analysesystemen oder im Reporting.

MEHR

Machine Learning und Data Science

Trifacta strukturiert Textdaten, extrahiert Merkmale und bewertet Daten zur Verwendung in ML-Modellen.

MEHR

Datenverarbeitung und -dienste

Trifacta exploriert, normiert und integriert Ihre Daten für die Verwendung in Analysetools und -diensten.

MEHR
 
 

So profitieren unsere Kunden von Trifacta

“Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.”

VP of Marketing, Company

“Trifacta has empowered our business users to accelerate data preparation and provide a 3x improvement in turnaround-time. With the integration of Trifacta and Snowflake, we can accelerate the process of preparing data in Snowflake and empower our business to do more with self-service analytics.”

Manjunath Vasishta, Director of Data Science and Engineering at Malwarebytes

“Trifacta provides a savings of $124,800 and 3x the productivity to start. Marketing analysts and users can more easily munge data as needed and automate the productionalized transformations.”

John Gardner, Sr Business Intelligence Analyst

 
 
 

Data School Episode 3

Predictive Interaction

Hey Siri, Can you Clean My Data?

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.

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EOL of ETL?

The Future of Data Wrangling in the Cloud

Moving From Waterfall to Agile

In the modern era of IoT, AI and cloud computing, architectures for data management have changed dramatically. Instead of recording millions of transactions, organizations are recording billions of interactions. Rather than solely inputting data to support formal business processes, companies are capturing signals that can inform business opportunities and unlock new sources of value for organizations

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Self-Service Data Preparation

The Goldilocks Solution to Integrating Messy Data

Easier than Excel. More Powerful than Code

Excel is too manual. Coding is too technical. There’s a “just right” way to connect to, understand, clean, blend, and output new or messy files into a workflow that feeds analytics products or platforms, and it’s no fairy tale. It’s self-service data preparation.

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So funktioniert Trifacta in Ihrer Cloudumgebung