Document-based workflows can consume a lot of your time and effort, no matter if you do them routinely or only occasionally. It doesn’t have to be. In fact, it’s so easy to inject your workflows with extra efficiency and structure if you engage the proper solution - DocHub. Advanced enough to tackle any document-connected task, our software lets you adjust text, images, comments, collaborate on documents with other parties, create fillable forms from scratch or templates, and electronically sign them. We even shield your information with industry-leading security and data protection certifications.
You can access DocHub instruments from any place or system. Enjoy spending more time on creative and strategic work, and forget about tiresome editing. Give DocHub a try today and enjoy your settlement workflow transform!
hello my name is Pearl uberu and I am a technical marketing engineer here at databricks today Ill be taking you through part one of a three-part video series on how to ingest data into the lake house there are a few options to ingest data into the lake house such as copy into UI based and autoloader the first part of this series is a step-by-step on how to ingest data into Data bricks using the copy into statement and the next two videos will be focused on ingestion using our local file upload UI and autoloader data warehouses were created for storing only process data and this data has a specific use which is normally for bi reporting or Analytics while data Lakes are best for unstructured data needed for ML and AI use cases the creation of the databricks lake house platform gives you the best of both worlds giving you the pros of your data Lake and data warehouse all in one place ingestion into the lake house requires that youre able to bring in various data formats data types and