"With Databricks, you don’t have to reinvent the wheel. Data ingestion to machine learning is centralized, so we have a unified view of everything — from start to finish."
"Databricks allows us to adopt a more scientific approach to how we run our sales operation. As a result, we’ve tripled our forecast accuracy of sales promotions.”
"Having an agile innovation workflow is critical for McGraw-Hill Education. Databricks Unified Analytics Platform is at the center of our ecosystem and underpins our innovation pipeline and workflows."
"The Databricks Lakehouse Platform has allowed us – as a team composed of data engineers, data scientists, but also the rest of the business – to democratize IoT and customer data to power analytics and machine learning to support the energy needs of our customers.”
"Thanks to Databricks, we have all the technology in place to scale and develop the best beauty experience for our customers in order to boost engagement and loyalty.”
"As a data company, giving our customers access to our data sets is critical. The Databricks Lakehouse Platform with Delta Sharing really streamlines that process, allowing us to securely reach a much broader user base regardless of cloud or platform.”
"Thanks to the scalability of the Databricks Lakehouse architecture, we are now able to harness the insights within all our data in an effort to proactively inform customers of potential performance issues before they are directly impacted.”
“But Databricks stepped up and helped us to fully understand the architecture and how to avoid common pitfalls, and we succeeded without issue.”
"Databricks is integral in TVS Motor’s digital transformation journey to drive sales channel effectiveness for our enterprise and distribution network. We were able to quickly build a centralised analytical data platform, which is scalable, secure and reliable, allowing our teams to develop faster BI and AI/ML products, thereby allowing us to accelerate digitalisation with a modern data infrastructure.”
“It is an exciting journey ahead, and we are looking forward to using Databricks to run more deep learning models at scale as our existing use cases mature."
"Databricks is core to our business because its lakehouse architecture provides us a unified way to access, store and share actionable data. It’s going to be the core of our analytics strategy going forward. No question about that.”
"Moving from Hadoop to Databricks has unlocked significant business value. We are able to process more data faster, build reliable ETL pipelines, and make it easier for our analysts to build models that viewing experiences that our customers want.”
“We had a legacy Jupyter notebook that was one big beefy server shared across a bunch of people. Scaling at that point meant adding a second one, but because there was such a wide variety of projects in this single notebook, running heavy applications while working within the notebook actually slowed the processing time for everyone else.”
“We have selected and adopted Databricks as our preferred data engineering, analytics and machine learning platform. And we are looking forward to further enabling true cross-functional collaboration across teams of data science, data engineering and analytics by leveraging this open, simple and powerful platform to deliver on more use cases to come.”
“Databricks has helped Comcast scale to processing billions of transactions and terabytes of data everyday.”
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