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Introducing Bigquery Ml For Building Predictive Models With Sql - Latest News


BigQuery ML moves machine learning into Google BigQuery

At its core, BigQuery ML is a set of SQL extensions designed to support machine learning and predictive analytics applications. Google, which announced the technology at Google Cloud Next, said users ... read more

The big data odyssey of SQL Server 2019, and more data and AI news from Microsoft Ignite

The first slate of news comes from the land of (the on-premises version of) SQL Server ... and proceed immediately to building an ML model for later predictive analytics use. In the one more thing dep... read more

Introducing 'Project: Machine Learning in a Box'

In 2017, the very first machine learning-oriented content based on the SAP Predictive Service was rolled out on ... We will then start looking at what are the strategies to go live with a model and bu... read more

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Big Data

Oracle and NVIDIA have announced that Oracle is the first public cloud provider to support the NVIDIA HGX-2 platform on Oracle Cloud Infrastructure, helping to meet the needs of the next generation of ... read more


An approach to Machine Learning and Data Analytics Lifecycle

The predictive ... model building by determining the techniques and methods particularly addressing the business problem. At this stage, the business problem is clearly emphasized and distributed acro... read more

Cloud Computing

Splunk Industrial IoT combines the power of Splunk Enterprise, the Splunk Machine Learning Toolkit, and Splunk Industrial ... The Open Data Initiative creates a single data model for consumer data tha... read more

Advanced Analytics with R & SQL: Part I - R Distributions

SQL Server ... scalable models from the same development environment. By capitalizing on the flexible and agility provided by MRS, businesses can now run experiments, build and operationalize scalable ... read more

4 Examples of Connecting Data To ML and AI

and scalable Machine Learning and predictive analytics platform that allows enterprises to build Machine Learning models on big data and provides easy productionalization of those models in an enterpr... read more

Getting started: the 3 stages of data infrastructure

I strongly believe in keeping things simple for as long as possible, introducing complexity only when it is needed for scalability. This post follows that arc across three stages. In many ways, it ret... read more

Building fast-performing database models

The following chapters dig into the practical aspects of database modeling by describing and demonstrating the full process of thinking about, analyzing, designing and building a database model in a r... read more

An introduction to coding SQL-DMO

The SQL-DMO DLL has the same name on both servers, but the SQL Server 2000 version includes objects not available in the SQL Server 7 version. You can create references and build SQL-DMO apps ... the ... read more

Data architect vs. application architect: Segregate the duties

I have been asked to provide justification for a data architect to do the XSD modeling of data entities. I have prepared the Conceptual Entity Model and have elaborated on each entity (attributes and ... read more



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