Sean Ma is Trifacta's Director of Product Management. Prior to joining Trifacta, Sean worked at Informatica.
Since rolling out the General Availability of Google Cloud Dataprep in Sept 2018, we’ve continued to see rapid growth in users and Dataprep jobs from around the world. While you will see many improvements across the product in our latest release, there are two areas of particular focus: job customization and data quality capabilities. Simple […]
MoreOn Wednesday, we announced new functionality to support data engineers within growing data operations (DataOps) practices. Like its predecessor DevOps, DataOps is a process-oriented function that focuses on improving data quality and reducing analytic cycle times across the organization. As the amount of data has grown, so has DataOps; in 2018 alone, 73 percent of […]
MoreFollowing the exciting news from Google Next 2018 about the upcoming general availability of Google Cloud Dataprep by Trifacta, we wanted to do something special for our beta users. And there certainly are a lot of them. Since September 2017, with the launch of the open beta version of Google Cloud Dataprep, we’ve been thrilled […]
MoreGoogle recently announced that Google Cloud Dataprep—the new managed data wrangling service developed in collaboration with Trifacta—is now available in public beta. This service enables analysts and data scientists to visually explore and prepare data for analysis in seconds within the Google Cloud Platform. Now that the Google Cloud Dataprep beta is open to the […]
MoreA few months back we announced our collaboration with Google Cloud on the launch of Google Cloud Dataprep at Google Next in San Francisco. Since this launch, the private beta has received massive adoption and rave reviews from Google Cloud customers. We’re excited to bring the product into public beta soon, and shortly thereafter General […]
MoreConnecting to data is a fundamental feature of all data tools, which is why we’ve increased the range of connectivity options in our latest release. Starting with support for cloud-based systems like Amazon Redshift and S3 & Microsoft Azure Storage Blob, to more recent support for common relational systems, such as Oracle, Teradata, and SQL […]
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