Name: Accelerating your Data Strategy with Data Mesh
Start: 2022-11-01T16:00:00Z
End: 2022-11-01T16:00:52.000Z
Location: BrightTALK
Rating: 5

Extracting value from data is a challenge for many companies. Amazon Web Services (AWS) and AWS Partners have solutions to help. On this channel viewers will learn best practices and hear about customer journeys to prevent data silos, enhance data value, apply machine learning,  improve security, and apply scalable data governance practices when handling customer data.


68% of organizations reported an inability to realize value from their data, according to Accenture. Is your organization struggling with this challenge? 

Amazon Web Services and Couchbase Capella want to help you evolve your data strategy. How can you do that? By adopting a data architecture based on a fully managed distributed NoSQL database, with which you can access data on-demand without the costs associated with infrastructure management. 

This webcast overviews Couchbase Capella’s capabilities and explains how Couchbase Capella on AWS can decrease your latency. 

Watch now to unlock a customer testimonial from GroundHog.

Decrease Latency with Couchbase Capella on AWS

According to Forbes, by making 10% more data accessible, a typical Fortune 100 company can increase their net income by $65 million, rapidly boost their ROI, and cut the total cost of operations in half. 

However, Accenture explains that two out of three companies are not able to realize actionable value from their data—meaning this disjuncture between data access and zero increase in revenue-driving business insights must be addressed. 

The culprit causing this disconnect is closer than you think: your analytics database. 

Tune into this webinar to learn what’s necessary to evolve your analytics database to properly democratize your data, meet immediate business demands, and make your data deliver. Additional takeaways include an analysis of Exasol in Dresner’s analytical data infrastructure study and the benefits of Exasol on AWS.

How to Tune up Your Analytics Databases to Improve Insights

The modern organization runs on data, and while this was true before, the widespread acceleration of digital advancement has only made data more important. Organizations have realized this and are looking to modify their digital architecture in order to better gather, manage, and utilize their data.

In this webcast, experts from AWS, Talend, and Lenovo discuss data fabric architecture, providing an overview as well as an in-depth demonstration of how they can help you build your own data fabric architecture.

Watch now to see how a data fabric could help your organization extract more value from its data.

Data Fabric Architecture: Building Data-Fueled Insights at Scale

Do you understand how Data Mesh can enhance your data strategy?


In this webcast, a panel of leaders from Starburst, Amazon Web Services, Accenture, and Glovo discuss all things Data Mesh: Data Mesh basics (a 30,000-foot view of the process), the 3 phases of Data Mesh transformation, a business’s perspective on Data Mesh in action, and more.

Tune in to gain insight that you can carry along your Data Mesh journey.

Data Mesh: Perspectives from 4 leaders

To extract new value from enterprise data, discover new revenue streams, and form business-altering insights, data architectures that support diverse data formats and break down siloes are more essential than ever.

However, these modern data architectures aren’t completely immune to challenges associated with:
• New data sources and quality checks
• Data transformation and integration
• And evolving security and compliance risks.

So, where do you go from here?

Experts from Fivetran and AWS explain how to navigate these data architecture and analytics challenges in the following webinar. Tune in for the key takeaways and a demonstration of how Fivetran and AWS data architecture effortlessly centralizes all the data you need so your team can deliver better insights.

Centralize data for real-time analytics with a modern data stack

A modern data and analytics platform is essential to your digital transformation strategy. Yet many organizations can feel overwhelmed by the complexity of their existing infrastructure, complex ETL data pipelines, and the DevOps requirements of their legacy on-premises data warehouse and big data deployments. Amazon Web Services (AWS) and Databricks have helped thousands of companies migrate legacy enterprise data warehouse (EDW) and Hadoop workloads to the cloud to help lower IT costs and improve productivity. At this live event, you’ll learn 10 keys to successful migration to drive innovation, productivity and positive business results. See how the AWS Migration Acceleration Program (MAP) can help you get started with the Databricks Lakehouse Platform on AWS.

Modernize Data and Analytics Platforms with Confidence

82% of brands believe that winning in CX is directly tied to the ability to capture and analyze data in real-time, according to Experience 2030, a global survey conducted by Futurum Research and sponsored by SAS. But translating data into actionable insight at the optimal time can be challenging, especially for organizations held back by legacy systems, data silos, and organization silos. In this webinar, join AWS and SAS to learn how you can optimize interactions, infuse analytics, and centrally manage, integrate, and streamline your organization’s marketing programs. Discover Customer Intelligence 360 (CI360), a purpose-built cross channel intelligent marketing platform with pre-built channel connectors designed to achieve rapid insights and improve customer journeys with embedded analytics solutions.

Presenters:
- Bojan Belovic, Principal Technical Architect, SAS Institute
- Dilip Rajan, Sr. Partner Solutions Architect, Amazon Web Services

SAS Customer Intelligence 360 Connectors with Amazon Web Services

Join this powerful group of visionaries as they dive into the Data Mesh. As global data creation is projected to exceed 180 zettabytes in the next five years, there is a need to move away from the current centralization approach to process extensive data with various sources, types, and use cases; towards a distributed architecture of Data Mesh views.

As these leaders will explain, now is the time to delegate data ownership from a centralized to domain-centric approach (individual teams or business users). This model makes an organization more agile and scalable. The approach also affords direct access and query capabilities by technical and non-technical users to data sets where they reside today without the need for expensive data transfers and residency concerns.

Accelerating your Data Strategy with Data Mesh

Data Analysis

data mesh

DaaP

Cloud modernization

Data modernization

Data Governance

Data Lake

Data Fabric

distributed data

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Accelerating your Data Strategy with Data Mesh

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