Of your peers have already watched this video.

31:30 Minutes

The most insightful time you'll spend today!


Smart analytics: Deep dive on roadmap

Data across organizations is growing and that organizations need a very strong analytics platform to leverage this data create insights and make real-time decisions on top of this data.

That’s driving the advent of three large trends. First is the convergence of data lakes and data warehouses, that’s enable organizations to maximize the value of their data.

Second, is the growing phenomena of real-time decision-making which is forcing enterprises to think of how they can support the needs of batch processing and streaming data.

Finally, there is the rise of artificial intelligence and machine learning, which allows enterprises to leverage their data and create competitive differentiation.

With this background, Sudhir Hasbe, Director of Product Management, Data Analytics, Google Cloud, walks us through Google Cloud’s smart analytics offerings—and what’s new.

He takes us on a tour through the technical value of Google Cloud’s smart analytics platform end-to-end. He provides a comprehensive overview and demos what’s new and what’s next in Google Cloud’s smart analytics portfolio across products like BigQuery, Dataflow, Dataproc, Data Fusion, PubSub, Data Catalog, Dataprep, and Looker.

More Relevant Stories for Your Company

Case Study

AgroStar: Small farms in India getting big help from the cloud

AgroStar has launched a cloud-based mobile app that is helping to boost crop yields and encourage best practices for small farmers in India. Launched as an on-premises ecommerce platform selling farm tools in 2008, the firm turned to Google Cloud Platform (GCP) to expand its offering. It now uses cloud-based analytics and is


Google is a Leader in the 2019 Gartner Magic Quadrant for Data Management Solutions for Analytics

As organizations continue to produce vast quantities of data, they increasingly need platforms that allow them to analyze, store, and extract meaningful insights from that data. And research from analyst firms like Gartner offer an important way for organizations to evaluate and compare cloud data warehouse providers. Earlier this year,

Case Study

Marks & Spencer Aims to Bring a Third of business Online and Google Contact Center AI is Key to its Success

“Hello, Marks & Spencer. How may we help you?” As one of the biggest and best-loved retail brands in the UK, Marks & Spencer (M&S) is known for the personalized service it provides to its 30 million loyal customers. For 135 years and in 57 countries around the world, M&S has worked

Case Study

Best Practices from Experts to Maximize BigQuery Performance (Featuring Twitter)

If you have made the decision to run your data analytics on BigQuery’s serverless platform, you are in good company. Now, as you deploy complex workloads on your data, you want to be able to maximize the performance of all data operations from data loading to data analytics. In this