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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Optimized for point lookups, analytics, mutations, etc. Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning.

Data 97
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Low-Code and the Democratization of Programming

O'Reilly Media - Ideas

In the past decade, the growth in low-code and no-code solutions—promising that anyone can create simple computer programs using templates—has become a multi-billion dollar industry that touches everything from data and business analytics to application building and automation. Forms and Templates.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. or—using Knative—in Kubernetes.