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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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Kentik APIs Enable Multi-Solution Integration

Kentik

That’s why network operations has for years involved deployment of a mix of different commercial, open-source, and home-grown tools. To see the full variety of the calls that are available you can refer to our Knowledge Base, which covers both Admin APIs and the Query API. Kentik Connect Pro for Grafana.

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Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

We see AI applications like chatbots being built on top of closed-source or open source foundational models. Those models are trained or augmented with data from a data management platform. The data management platform, models, and end applications are powered by cloud infrastructure and/or specialized hardware.

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Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116
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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. 2019 may be the year that we come up with a usable Blockchain-based solution to enhance the integrity of business processes. Phil Simpson Red Hat [link].

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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.