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

Linux Academy

Joe Lowery here, Google Cloud Training Architect, bringing you the news from the Day 2 Keynote at the Google Cloud Next ’19 conference in San Francisco. In fact, much of the big push in the first two days here was on the enterprise, with big name after big name showing up as Google Cloud partners.

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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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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. Due to authentication and encryption provided at all points of connection, IoT Core and devices never exchange unverified data. You may use.

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Altexsoft - Untitled Article

Altexsoft

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Data loading.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. Getting Started With Google Kubernetes Engine (GKE) on Coursera. Framework Programming The Good and the Bad of Node.js