Remove Authentication Remove Data Engineering Remove Knowledge Base Remove Open Source
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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

Allowing organizations to inject knowledge-based decisions services that are traceable, auditable and explainable into the process fabric of their operations. That augmentation must be in a form attractive to humans while enabling security, compliance, authenticity and auditability. And herein lies the true challenge!'.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.