For the greatest outcomes in data transformation, information analysis needs structured and easily accessible data. Organizations can change the format and structure of raw data through data transformation as needed. Your company has countless opportunities to improve decisions and actions because of the ever-growing amount of data. But how can
When it comes to data – recognized by The Economist in 2017 as the most valuable commodity in the world – one phrase still rings true: garbage in, garbage out. That’s one of the reasons why data transformation solutions are getting so much attention right now. When it comes to
In this contributed article, discusses how digital governance is evolving – and why leaders should care. “Digital governance” is a relatively new term. To understand it, it’s helpful to recap what we mean by “digital transformation” – which is essentially leveraging technology to improve processes and the way people work.
In this sponsored post, our friends over at Trifacta suggest that intriguing data questions are inherently interdisciplinary. As business leaders look to data-driven decision-making in 2022 and beyond, they must continue to make strides organization-wide in data literacy, or even simply make more individuals comfortable with data. Ultimately, decision-makers need …
[SPONSORED POST] Trifacta introduces “DIY Data” – a unique webcast series that presents practical aspects of data engineering through hands-on demonstrations. The series is all about being hands-on with Trifacta through 30-min byte size live and interactive episodes.
Coalesce, the data transformation company, announced its emergence from stealth and the launch of the Coalesce Data Transformation platform. Founded by a team of data automation pioneers, Coalesce simplifies the modeling, cleansing, governance, and documentation of data by bringing never-before-seen efficiency and flexibility to the analytics landscape. The Coalesce platform …
Alteryx, Inc. (NYSE: AYX), the Analytics Automation company, announced it has entered into a definitive agreement to acquire Trifacta, an award-winning cloud company that leverages scalable data management and machine learning to make data analytics faster and more intuitive.
For financial services providers, driving business forward with data is a longstanding practice—but as machine learning (ML) and artificial intelligence (AI) technologies improve, understanding the potential for data-based roadblocks is key. This year’s Data and AI Summit (DAIS) hosted over global attendees across more than 200 sessions, and highlighted leaders …
Matillion, a leading provider of data transformation for cloud data warehouses (CDWs), and IDG Research have released findings of an IDG Research MarketPulse survey, “Gaining Time, Savings, and Insights via Cloud-Powered Data Transformation.” The research exposes the challenges companies face in leveraging enterprise data for analytics and identifies data portability, …
Azure Databricks enables organizations to migrate on-premises ETL pipelines to the cloud to dramatically accelerate performance and increase reliability. If you are using SQL Server Integration Services (SSIS) today, there are a number of ways to migrate and run your existing pipelines on Microsoft Azure. The challenges with on-premises ETL …
In this contributed article, Damian Chan, Technical Success Manager at Matillion, discusses common data transformations that you can perform so your data can be processed within machine learning models. When it comes to machine learning, you need to feed your models good data to get good insights. Data in the …
In this contributed article, Damian Chan, Solutions Engineer with Matillion, discusses how machine learning can help your business process and understand data insights faster - empowering data-driven decisions to be made across your organization. For machine learning to be successful, however, your models will need to consume clean data sets. …
