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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Data Integration and Data Pipelines. Automation in data science and big data.

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The Future Is Hybrid Data, Embrace It

Cloudera

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. The future is hybrid data, embrace it.

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All About the Kafka Connect Neo4j Sink Plugin

Confluent

It would be very helpful for us, if you could help test the Kafka Connect Neo4j Sink in real-world Kafka and Neo4j settings, and fill out our feedback survey. He is a Java Champion and enjoys many aspects of programming languages, participating in open source projects and contributing and writing software-related books and articles.

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

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The Good and the Bad of Apache Airflow Pipeline Orchestration

Altexsoft

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Source: Apache Airflow.

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The Good and the Bad of Docker Containers

Altexsoft

Docker is an open-source containerization software platform: It is used to create, deploy and manage applications in virtualized containers. Launched in 2013 as an open-source project, the Docker technology made use of existing computing concepts around containers, specifically the Linux kernel with its features.

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

BPM

This fragmentation could deal a killer blow to the promise of large-scale adoption: A Gartner survey found 24% of respondents cited scaling RPA as their number one problem. As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events.