Leveraging the Cloud for Big Data Analytics

Modern data applications and analytics rely on a wide variety of data both inside and outside the company; organizations depend on enriched data sets for better insights. This need, in part, has driven many companies to move to cloud data warehouses and cloud data lakes. However, it’s no longer simply about migrating to the cloud. It’s about modernizing using a combination of industry-leading services in the cloud and cloud-native data management services to deliver better business decisions, faster.

From AI and machine learning to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting your organization's data-driven goals. Greater speed, flexibility, and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions, including data lakes, in-memory databases and engines like Spark and cloud services of all shapes and sizes.

If you are looking for the scalability and performance needed to support interactive, ad hoc analytics on billions of rows – and with SQL – this latest Data Science Central webinar will show you how to combine distributed, columnar storage and parallel query processing with powerful aggregate functions to deliver faster time to insight using modern, on-demand analytics, as well as how to leverage the power of Kafka and Spark connectors to plug into existing data pipelines. We will discuss the architectural overview of columnar databases, share real-world use cases and give a live demonstration.

Still feeling a bit in the dark about Big Data or terrified by the term Artificial Intelligence? Many organizations have been embracing both of these concepts and capitalizing on their insights for years. Now it’s your turn to truly get on board with how you can use Big Data and Artificial Intelligence to shape your Talent Acquisition strategy. And when better to learn more about these than at the beginning of a new year? Hear from a panel of visionaries and learn the ins and outs of Big Data and Artificial Intelligence, from providing in-depth explanations to leadership, to identifying their pitfalls and opportunities, who should be spear-heading these initiatives within your organization and how to implement.