Name: The Data Movement Revolution: How to Keep Up with the Speed of Modern Data
Start: 2023-06-13T16:00:00Z
End: 2023-06-13T16:00:54.000Z
Location: BrightTALK
Rating: 5

Fivetran automates data movement out of, into and across cloud data platforms. Fivetran automates the most time-consuming parts of the ELT process from extracts to schema drift handling to transformations, so data engineers can focus on higher-impact projects with total pipeline peace of mind. With 99.9% uptime and self-healing pipelines, Fivetran enables hundreds of leading brands across the globe, including Autodesk, Conagra Brands, JetBlue, Lionsgate, Morgan Stanley, and Ziff Davis, to accelerate data-driven decisions and drive business growth. Fivetran is headquartered in Oakland, California, with offices around the world.

On this channel, hear from data and analytics leaders as they discuss how automated data movement and the modern data stack can scale your analytics strategy.

In today's dynamic martech landscape, businesses must master the art of integrating diverse data sources into a single source of truth, fueling hyper-personalized experiences with data-driven marketing insights.

Don't miss this exclusive opportunity to unlock the secrets of a data-driven future at our upcoming roundtable. You’ll gain insights into the evolving martech landscape, the significance of customer 360, and the crucial role of hyper-personalization. Hear how industry leaders like Snowflake and Fivetran partner with HubSpot to innovatively transform raw data into personalized customer journeys.

Join us for a roundtable with distinguished marketing executives:
Rachel Thornton, CMO at Fivetran 
Denise Persson, CMO at Snowflake
Scott Brinker, VP Platform Ecosystem at HubSpot

Executive Lens: Powering Personalized Marketing With a Modern Data Stack

Discover how to enhance your data management and achieve significant cost savings by migrating from BigQuery to Snowflake. This session will provide valuable insights and firsthand experiences on optimizing user experience and gaining increased control over your data. Understand how various enterprises are reducing their data warehousing expenses and simultaneously empowering their data usage to boost overall business revenue. As data analytics and intelligence become increasingly integral across different teams and business units, it's essential to grasp the escalation in data costs and the strategies to mitigate them. 

Learn how differentiating your business in this aspect can provide a competitive advantage in the marketplace. We will cover:
- Costs associated with data warehousing 
- Key differences between BigQuery and Snowflake 
- How Snowflake can lower your data warehousing costs and give you better control over your data strategy 
- How to manage the migration from BigQuery to Snowflake, along with internal adoption and governance

Speaker panel includes:
- Teresa Kovich, Principal Consultant, DAS42 
- Zac Shepherd, Director of Data Engineering, Business Insider 
- Kelly Kohlleffel, Sr. Director of Partner Sales Engineering, Fivetran
- Garrett Long, Director of Product Marketing, Snowflake

Data Cloud Cost Optimizations: Migrating from BigQuery to Snowflake

Join us for a discussion on successful Data Modernization tips! It's not just adopting new technology—modernization requires a balanced approach that includes people and processes. Learn from North Labs and Fivetran for the best tips to level up your data program. 

Attendees will hear from industry experts as they address the likes of the following -  based on their experiences with hundreds of customers tackling data modernization:
- What are the top and unique challenges that organizations are currently facing?
- What are some recommended best practices and approaches?
- What are some ways to level up your data in specific Industries?

We will discuss all of the above and some current client success stories. Hope to see you there!

6 Tips for Successful Data & Analytics Modernization

How do you measure customer success and interaction across your organization, especially when customer data exists in multiple ERP and departmental systems? The answer is clear: a Customer 360 (C360) solution that centralizes interactions to define the true value of a customer across your organization and helps garner each customer as a single entity.

Join this webinar and learn how a Customer 360 platform transformed a leading mid-sized bank in New England. When managing a growing client base and relationships across 6 disparate systems became impossible, the bank sought out to centralize customer data into a data lake using modern ELT technology.

Session attendees will learn about data challenges that organizations are facing today, and how to avoid them. Topic covered will include:
- Finding the right fit modern data stack for your needs
- Customer 360, its attributes and data architecture
- What a Master Data Management flow looks like
- How to quickly and cost effectively develop the C360 display
- How to measure success and ROI for a C360 solution

Achieving True Customer 360 from Scratch in Record Time

Discover how to accelerate and automate data movement and data outcomes in the cloud with kipi.bi and Fivetran. 

By attending this event you will learn: 
- How to accelerate time to insights with useable, trusted data
- Best practices for optimizing your data movement strategy including tips for maximizing performance and scalability
- The best way to prevent data silos and inconsistent data solutions
- Why companies are shifting from rigid ETL processes to more automated and scalable solutions
- Real-world examples of how organizations have successfully worked with kipi.bi and Fivetran to streamline their data integration and data movement processes and drive insights from their data.

The Data Movement Revolution: How to Keep Up with the Speed of Modern Data

Data Integration

Data Quality

Data Analytics

Data Insights

Data Architecture

Cloud Integration

Data Migration

Data Warehousing

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CxO Strategy

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The Data Movement Revolution: How to Keep Up with the Speed of Modern Data

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