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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service.

Analytics 250
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Infuse Actionable Intelligence into Your Product with AWS Lake House

Sisense

Topics covered included the opportunities presented by AWS’ new “Lake House” architecture, the benefits of pairing the right cloud solution with the right custom analytics platform, and how actionable intelligence from cloud sources can take a company’s embedded analytics to exciting new places. Get analyst report.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. Let’s find out what role each of these components play in the context of C360.

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Announcing the 2021 Data Impact Awards

Cloudera

Data Security & Governance: Merck KGaA, Darmstadt, Germany — Established a data governance framework with their data lake to discover, analyze, store, mine, and govern relevant data. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

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Use the AWS CDK with the Data Solutions Framework to provision and manage Amazon Redshift Serverless

AWS Big Data

DSF provides convenient methods for the end-to-end flow for both data producer and consumer. Solution overview The solution demonstrates a common pattern where a data warehouse is used as a serving layer for business intelligence (BI) workloads on top of data lake data.

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Doing a 180 on Customer 360 – The Preferred Path to Customer Insights

Cloudera

The abundant growth of data, maturation of machine algorithms, and future regulatory compliance demands from the European Union’s General Data Protection Regulation (GDPR) will shift the landscape for creating a single source of the truth for customer data.