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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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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Serverless SQL Pools for On-Demand Querying Synapse includes serverless SQL pools for ad-hoc querying of data stored in Azure Data Lake without requiring dedicated compute resources. Business Intelligence and Reporting When to Use: When you need to generate dashboards and reports for business insights based on large datasets.

Azure 91
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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.

Data 111
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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. The solution also comes pre-integrated with Software AG Cloud and Quantela , a smart city automation and AI platform. Google Cloud IoT Core.

IoT 141
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Altexsoft - Untitled Article

Altexsoft

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. The rest of maintenance duties are carried by Snowflake, which makes this solution practically serverless.

Backup 115
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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. As such, it is considered cloud-agnostic. Well, almost serverless, to be exact. Source: Snowflake.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.