Making Use of the Explosion of Data Available to Organizations with Self-Service Data Preparation
We’ve seen a monumental shift in the way we collect, store, process and analyze data. The first video in Trifacta’s new series The Data School with Professor Joe Hellerstein, looks at the why, what, and how of the digital transformation taking place before our eyes, and introduces the series which will be an ongoing educational resource for professionals who work with data, people who work with data systems, and managers who define data strategies.
What Ignited This Shift?
In times past, organizations had only limited information they could work with to analyze their own performance. It wasn’t too long ago that companies were starting to convert paper records, most commonly transactional records, into digital data and set up systems that collected every new transactional record and stored that information in their data centers. The volume of data was small by today’s standard, and could be Extracted, Transformed, and Loaded (ETLed) to an on-premise data warehouse where business intelligence tools would pick up the data to measure historical performance.
Fast forward to 2020, and every day every one of us interacts with devices, websites, systems and more that constantly generate data at each point of contact. The volume of data collected has skyrocketed. Customers who managed their own data centers realized that continuously upgrading their systems and adding additional hardware to keep up with the growth of data being collected required a large team to manage the upgrades to hardware and software, and the hardware upgrades were extremely expensive. The cloud has enabled a cost effective way to store and process data, and elastically scale up as volumes and needs change. But what about the software that helps companies manage that data?
What to Do?
Software as a Service (SaaS) products like Trifacta have emerged to help organizations make sense of the extensive variety and volume of data available. As more and more organizations move their data into the cloud and offload their hardware management, It’s become more important than ever to empower users to connect to, understand, clean, blend and output data to analytics and machine learning platforms in a lightweight, secure and collaborative platform to gain value from the wide variety of data available today. Trifacta provides self-service data preparation for data in the cloud, and can help your organization accelerate time to value, understand the available data and discover new areas of insight, and schedule and orchestrate data pipelines to gain continuous value in production.