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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

The market for data warehouses is booming. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

Data Lake 106
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis.

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55
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3 Trends that are Changing the World of Data

In(tegrate) the Clouds

Also driving this trend is the fact that cloud data warehousing and analytics have moved from rogue departmental use cases to enterprise deployments. The third trend is the Internet of Things (IoT). It’s already happening today in some industries with data velocity, variety, and, of course, volume.

IoT 45
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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

She has been building solutions that drive cloud adoption and help organizations make data-driven decisions within the public sector. She is focused on helping enterprise customers with their cloud adoption and modernization journey and has an interest in the security and analytics field. Brittany Ly is a Solutions Architect at AWS.

Analytics 113
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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. And more recently, we have also seen innovation with IOT (Internet Of Things). Why should Chief Data & Analytics Officers care about data security? That’s the reward.

Insurance 150