Remove Cost-Benefit Remove Data Warehouse Remove Internet of Things Remove IoT
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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

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Is Your Data Management Infrastructure Modern Enough for IoT?

Hurwitz & Associates

Internet-of-Things (IoT) has entered the lexicon of IT-related buzz terms in a big way over the past few years, and there is good reason for this. IoT at its foundation refers to what can literally be billions of devices spanning the globe (and beyond) that can be connected to the internet to serve a variety of purposes.

IoT 40
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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

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How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. The concept of the edge is not new, but its role in driving data-first business is just now emerging.

IoT 80
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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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Transforming Big Data into Actionable Intelligence

Sisense

To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues. For starters, the rise of the Internet of Things (IoT) has created immense volumes of new data to be analyzed. displaying BI insights for human users).

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The new architecture requires that data be structured in a dimensional model to optimize for BI capabilities, but it also allows for ad hoc analytics with the flexibility to query clean and raw data. Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse.