Kyligence Partner Solutions Day: Accelerate Your Analysis on Microsoft Azure
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.
RecordedFeb 25 202199 mins
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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 Kyin, 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.
George Demarest, Head of Marketing; Rachel Beddor, Solution Architect; Kyligence
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
Saikat Basu - Sr. Solutions Architect, Kyligence | Matt Basile - Azure Data Program Manager, Microsoft
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.
One of the hallmarks of modern analytics is that data pipelines are largely built upon open source software (OSS). It is entirely possible to create cutting edge data science, machine learning, data engineering, ETL processing, and predictive analytics pipelines without using any commercial software. Of course, OSS does not necessarily mean “free,” but as a thought experiment, the first part of this session will explore the role of OSS in your data analytics stacks and data pipelines.
For the second half of this discussion, we will examine how OSS tools and platforms can be used to learn and create your own machine learning and data analytics projects without breaking the bank.
12 not so simple steps to enabling Excel for data discovery
Microsoft is a recognized leader for BI tools and analytics platforms and there are hundreds of millions of Excel users. Snowflake has captured everyone’s imagination as the Cloud Data Warehouse juggernaut. So why are they not completely happy together?
In this webinar you will learn:
-The painful process of data discovery using Excel and Snowflake
-How Kyligence Cloud enables Excel pivot tables against Snowflake environments
-What MDX means to the future of cloud analytics
We will discuss the 12 unhappy steps you must take to make Excel play nice with Snowflake in data discovery. We will also talk about how Apache Kylin and Kyligence Cloud can be used to make the misery go away, and how you can finally run Excel pivot tables directly against Snowflake data and make them so happy together!
See how to consistently deliver accurate COUNT DISTINCT queries in under a second, even on petabyte-scale datasets. This presentation will share Apache Kylin’s approach to COUNT DISTINCT queries for user behavior analysis.
See how to get lightning-fast query performance on Microsoft Excel that scales into the petabytes. This presentation shares the top challenges Excel faces with big data and outlines strategies to keep Excel running smoothly.
Get your roadmap to unmatched query performance and streamlined self-service analytics with Tableau on big data. This presentation shares the latest approaches to enhancing query speeds, scalability, and self-service on Tableau.
George Demarest, Head of Marketing; Rachel Beddor, Solution Architect; Kyligence
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.
See how the world’s leading open source solution for query acceleration on massive datasets is revolutionizing analytics for enterprises across every industry, and how you can get started using it in your organization.
Cloud Data Warehousing juggernaut Snowflake has raced out ahead of the pack to deliver a data management platform from which a wealth of new analytics can be run. Using Snowflake as a traditional data warehouse has some obvious cost advantages over a hardware solution. But the real value of Snowflake as a data platform lies in its ability to support a high-concurrency analytics platform using Kyligence Cloud, powered by Apache Kylin.
In this webinar, Senior Solutions Architect Robert Hardaway will describe a modern data service architecture using precomputation and distributed indexes to provide interactive analytics to hundreds or even thousands of users running against very large Snowflake datasets (TBs to PBs).
There is good news for the thousands of Excel, Power BI, and SSAS users: a new distributed analytics platform from Kyligence - based on Apache Kylin - is breathing new life into these tools by providing a high-performance data aggregation mechanism.
This session will explore how a Kylin-powered architecture can achieve sub-second response times for queries against terabytes or even petabytes of Azure data.
The Kyligence platform provides:
-An intelligent precomputation layer
-AI-assisted data modeling and query optimization
-Virtually limitless concurrency and scale for OLAP, SQL, and MDX analytics on Azure.
Empower your analysts with easier access to all the data they need, exactly when they need it - all while reducing workloads for IT and data engineering. This presentation explains why combining AI with self-service analytics can help.
Learn how to solve the top 3 challenges Snowflake customers face, and what you can do to ensure high-performance, intelligent analytics at any scale. Ideal for those currently using Snowflake and those considering it.
Attention Excel, Power BI, and SSAS users! See how you can blow past the limitations of Excel, Power BI, and SSAS with Kyligence. In this demo, Solutions Engineer Rachel Beddor will show you how to quickly build Excel pivot tables for Snowflake DWs and how to bring your OLAP analytics into the cloud era.
In this demo:
-Connect to cloud data sources like Azure and Snowflake
-Use AI features to create a high-performance precomputation layer
-Rapidly build data models using Kyligence auto-modeling
-Seamlessly create Excel pivot tables on Snowflake and other cloud data sources
Are you underwhelmed by big data analytics performance in the cloud? See how Kyligence makes it easy to get lightning-fast BI for thousands of concurrent users on any size dataset. Sr. Solutions Architect Robert Hardaway demonstrates how the Kyligence AI-augmented analytics engine enables fast, elastic, and cost-effective analytics innovation with any data lake and at any scale.
To get the kind performance you want, a new approach is needed. Kyligence on Azure:
-Enables lightning-fast analytics on your huge cloud-based datasets
-Support thousands of concurrent users without added latency
-Offload your backend systems and save cloud costs
-Seamlessly integrates with cloud-based datasets
-AI-assisted data modeling and SQL/MDX query optimization
Expert Insights for Managing Your Organization's Most Valuable Data
Tips and technology walkthroughs you can use to supercharge big data analytics across your organization on any BI tool and any size dataset. Learn how to help your business quickly make data-driven decisions with confidence.
Kyligence Partner Solutions Day: Accelerate Your Analysis on Microsoft AzureSaikat Basu - Sr. Solutions Architect, Kyligence | Matt Basile - Azure Data Program Manager, Microsoft[[ webcastStartDate * 1000 | amDateFormat: 'MMM D YYYY h:mm a' ]]99 mins