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Big Data & AI News | Google Cloud Next 19 | Day Two Recap

Linux Academy

Thomas Kurian, CEO of Google Cloud, introduced Traffic Director, the new global traffic management service for VMs and containers as well as Cloud Run, which allows you to run any container in a serverless environment. Cloud Data Fusion. Big data got some big news today as well. And there’s more to come!

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Becoming a machine learning company means investing in foundational technologies

O'Reilly Media - Ideas

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. Use ML to unlock new data types—e.g.,

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

O'Reilly Media - Ideas

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

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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. Big data processing.

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Why You Want To Use Looker Studio For Data Visualization on BigQuery

Perficient

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

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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.

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Understanding Data-platform Needs to Support Network Observability

Kentik

What is a data platform? What are the main features of a modern data platform? Different formats, models, and protocols constrain data from these different domains accordingly. Business intelligence with data platforms The context of this data innovation is simple: driving business goals forward and delighting customers.

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