• Breaking the Data Warehouse Paradigm: What do your workloads really need?

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Breaking the Data Warehouse Paradigm: What do your workloads really need?

The data warehouse has been the go-to solution for big data analytics for the last 40 years. The journey to the cloud delivered on the promise of devops and extreme agility. Moving your on-prem data warehouses to the cloud is a relatively easy task to execute and overall the cloud data warehouse delivers a decent balance between price and performance. But doing only that actually reduces the benefits of the cloud and the business impact it can deliver: faster time to market, competitive advantage, innovation etc. With the rise of the data lake as a strong and effective alternative, data teams need to shift their mindsets from thinking about infrastructure and how to make the workload (i.e. business questions) fit the data warehouse, to thinking the other way around — start with the analytics workloads, identify performance requirements, flexibility requirements, time-to-insights and budget. Only then data teams can turn to think outside of the “data warehouse box” on engineering solutions residing on top of the data lake.

In this session we’ll discuss the different considerations data teams should think about as they choose between the cloud data warehouse and the data lake to optimally serve business goals.

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Our Presenters

David Krakov brings 10+ years of unique experience in sophisticated algorithms, virtualization, storage and data innovation. David started his career in an elite intelligence unit of the Israeli Defense Forces (IDF) as a chief architect of large-scale multidisciplinary projects. Following his military service David joined storage start-up XtremIO (acquired by Dell EMC) as a team leader, and following the acquisition served as a senior architect. David was also a founding member of the Advanced Development team of XtremIO, responsible to drive product and development innovation within XtremIO and design the next generation of All-Flash Storage.

Dave KrakovCo-Founder and CTO

Ori Reshef brings 15+ years of experience and deep expertise in the data space, specializing in speech, text and big data analytics, and creating business solutions from cutting edge technologies. As a product expert, Ori helped shape various solutions that focus on improving customer lifetime value (LTV) by mining three primary types of data:

● Customer-generated data, to reveal the intent of the customer
● Brand-generated data, to improve sales and retention
● Operational data, to increase efficiency

Prior to joining Varada, Ori was the VP Data Products and Head of Data Science for Clicktale (acquired by Contentsquare), led the Analytics & Intelligence product for LivePerson (NASDAQ: LPSN), as well as several other senior product positions. Ori transitioned to executive product roles after serving as a Solution Delivery Manager and Senior Sales Consultant for Nice Systems (NASDAQ:NICE) and several other technology consulting positions.

Ori ReshefVP Products at Varada

Alex Woodie has written about IT as a technology journalist for more than a decade. He brings extensive experience from the IBM midrange marketplace, including topics such as servers, ERP applications, programming, databases, security, high availability, storage, business intelligence, cloud, and mobile enablement.

Alex WoodieManaging Editor, Datanami