In the past decade, we have experienced an unprecedented growth in the volume of data that can be captured, recorded and stored.  In addition, the data comes in all shapes and forms, speeds and sources. This makes data accessibility, data accuracy, data compatibility, and data quality more complex than ever more! Join this welcome session to gain a sneak peek into how Google Cloud is helping to make data engineering easier with the latest data analytics product innovations, community engagement updates, and training resources. 

Data pipelines continue to grow in complexity and size, yet 43% of all companies continue to identify data talent as their largest gap. Join Google Cloud as we go on a transformative journey to unlock the power of data engineers and data analysts to write complex data pipelines, all in a managed framework that can be easily deployed using Google Cloud's latest data innovation. Data professionals can now build complex SQL logic that engineers can deploy using various deployment patterns including CLI to support enterprise needs.

By the end of 2024, 75% of enterprises will shift from piloting to operationalizing artificial intelligence according to IDC, yet the growing complexity of data types, heterogeneous data stacks and programming languages make this a challenge for data engineers. Join this session to learn how the latest Google Cloud data innovations enable a mutli-national organization to create real-time personalized offers to customers, by constructing high performing data pipelines using the language they prefer, "plug in" to their preferred ML frameworks such as PyTorch,Tensorflow, and scikit-learn for models training and production workloads, while having Dataflow automatically execute this multi-language pipeline, at scale, and in real time - with no need to concern themselves about falling behind on data due to capacity constraints or cost overruns. 

BigQuery is the leading modern, serverless, powerful Data Warehouse (DWH) that helps world's largest companies derive value from their data. By migrating their data ecosystems to Google Cloud, organizations are able to break down their data silos and harness the full potential of their data. DWH migrations have historically required significant manual effort for things like manual query rewrites and verifications, making them difficult, time consuming and error prone. With recently launched free offerings for automated SQL translation (10+ sources) and pre-migration planning Assessment, coupled with existing data migration and post-migration validation services, BQMS has made migrations lower-cost, faster, easier and predictable. Join us to learn more about BQMS and see it in action!

With data distributed, unifying your data assets and making trusted data available for analytics and data science is challenging. On the one hand, the demand for data has increased as organizations rely more heavily on data to make critical business decisions. On the other hand, how do you maintain access to trusted data while increasing observability? Join this session to learn how Dataplex can help you create a unified data fabric that enables data discovery, management and governance at scale, and accelerates time to business insights.

During this Q & A, Google Cloud experts will answer questions after our various how-to sessions have gone live! 

Google Cloud Hero is a gamified three hour Google Cloud training experience using hands-on labs to gain skills through interactive learning in a fun and educational environment. Anyone looking to learn the basics of BigQuery should tune into the game. 

Please note that the Google Cloud Hero game was a live game and is not available for replay.