Precomputation or Data Virtualization, which one is right for you?

Learn how to increase the value of your analytics investment with existing open source technologies like Apache Kylin, Spark, and Mondrian.

Talk #1: Addressing the Systemic Shortcomings of Cloud Analytics

As we enter what some have called The Golden Age of Analytics, there are still some fundamental challenges that plague even the largest and most sophisticated cloud analytics adopters. Chief among these is the challenge of scale, often reflected in limitations of concurrency, multi-tenancy, distributed query performance, and all manner of latencies.

Other less obvious, but equally crucial, challenges of scale and performance have to do with IT and end-user productivity. In other words, there have been few technological advances that enable the quick deployment of big data analytics and the rapid creation of business value from the data being analyzed.

This presentation will consider a few of these systemic challenges and suggest some ways that they can be addressed with available open source technology such as Apache Kylin, Apache Spark, and Apache Mondrian.

Talk #2: Accelerating Linux Workload Onboarding Experience on Azure

Whether you run Linux or Windows, Azure has unlimited capacity to deliver tangible benefits with built in security, hybrid infrastructure, data analysis and intelligence to support your Linux and Open Source Software (OSS) workloads. Our partnership with companies like Kyligence is one of our key strengths.

In this talk, we will talk about how Azure supports the OSS ecosystem, and how it empowers customers and partners to build their solutions on Azure.

Apache Kylin is an open source analytical data warehouse that has made interactive big data analytics possible. It does so by combining data warehouse and big data technology and by providing a standard ANSI-SQL query interface and sub-second latency for petabyte-scale datasets. This solution has been widely adopted around the world.

Kylin also enables self-service data analysis for machine learning applications. The integration with auto machine learning technology means that users don't need to be experts in big data and machine learning technology.

Dong will introduce the architecture and demonstrate how Apache Kylin has simplified machine learning on big data and empowered each end-user to perform advanced self-service analytics.

In January of this year, Kyligence announced the immediate availability of Kyligence Cloud 4, the first fully cloud-native, distributed OLAP platform. During our announcement, EMA analyst John Santaferraro said:

“As the race for unified analytics heats up, Kyligence offers a solution that overcomes the challenges of querying data in both data lakes and data warehouses located both in the cloud and on premises.”

Join Li Kang - VP of North America at Kyligence - as he provides an overview of the Kyligence Cloud 4 release that will show:

--The new cloud native architecture that employs Apache Kylin, Apache Spark, and Apache Parquet to ensure optimal performance.
--How KC4 delivers sub-second query responses on very large datasets using precomputed aggregate indexes (hyper-cubes) and table indexes.
--The AI-Augmented engine that intelligently organizes your data and reduces data modeling time from days/weeks to minutes.

In this webinar, we will present the Kyligence Cloud 4 story - high-speed analytics with unprecedented sub-second query response times against petabyte datasets.

People have been using Excel for 35 years. There are over 750 million Excel users. People are making magic with Excel every day. With the surging interest in big data, advanced analytics, and the cloud, how does Excel stay relevant and how extreme can Excel get? In this webinar, we will examine:

o Traditional limits of Excel performance, scale, dataset sizes
o Cloud technologies that make Excel better
o Defining the new extremes for Excel power users


Speaker Bio:
Rachel Beddor is a Solutions Engineer for Kyligence where she creates technical content to enhance the learning experience for new Apache Kylin and Kyligence users. She has dedicated her career to making technology more accessible, fun, and inviting to people of all backgrounds.

Kyligence has just introduced a new solution for Snowflake and Excel users called Kyligence Pivot to Snowflake. It provides support for Excel Pivot Tables against data in Snowflake Data Warehouses, seamlessly and transparently. This presentation explains the solution and provides a demonstration of the product.

Discover how Kylin's new Parquet-powered storage engine is delivering better performance than ever before to the world's leading open source query engine for big data. See what's improved and get benchmark comparisons to understand how Kylin's latest update can help your organization deliver faster insights on any size dataset.

While exotic analytics and machine learning have captured the imagination during the big data era, Online Analytical Processing (OLAP) seemed to be on the verge of decline. As traditional OLAP platforms and vendors struggled with growing data volumes, the seemingly unlimited power and scale of the cloud offered new ways to extract insights from these large datasets.

But new open source technologies like Apache Kylin promise to bring the performance, concurrency, and cost advantages of distributed OLAP to the cloud. In this webinar, Li Kang will demonstrate and discuss:

-Key performance and concurrency advantages of Distributed OLAP vs Cloud Data Warehousing
-How precomputed aggregate indexes (distributed cubes) can dramatically offload query processing engines
-How Apache Kylin enables aggregate indexes of virtually limitless size and scale

Learn how Kyligence can be combined with Microsoft solutions like Azure Synapse, Power BI, and Excel to dramatically accelerate your analytics on any volume of data. Experts from Kyligence and Microsoft will provide a roadmap and tips for getting started optimizing your organization's analytics.

This is a demonstration of how you can now use Excel Pivot Tables to directly query live Snowflake data. Quickly gather insights and explore your data with Kyligence Cloud.

Simplify data lake governance, no matter how much data you work with and how many data sources and BI tools you manage. This presentation offers all you need to develop your own strategy for smarter data lake governance.