Data Science 101

NOVEMBER 11, 2019

Welcome to the first beta edition of Cloud Data Science News. This will cover major announcements and news for doing data science in the cloud. Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Amazon Web Services.

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Data Science 101

NOVEMBER 15, 2019

Here are this weeks major announcements and news for doing data science in the cloud. Microsoft Azure. Microsoft and Salesforce form Partnership While not just for data science, this is big news. Azure has become the cloud provider for the Salesforce marketing cloud.

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Data Science 101

FEBRUARY 29, 2020

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3.

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Cloud Data Data Science SQL Deep Learning 106

Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data.

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Data Science Blog

SEPTEMBER 19, 2023

By automating the provisioning and management of cloud resources through code, IaC brings a host of advantages to the development and maintenance of Data Warehouse Systems in the cloud. So why using IaC for Cloud Data Infrastructures? Of course, Terraform and the Azure CLI needs to be installed before.

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Data Science 101

NOVEMBER 29, 2019

Sign Up for the Cloud Data Science Newsletter. Azure Machine Learning Compute Instance What used to be called Notebook VMs, are now Compute Instances. If you would like to get the Cloud Data Science News as an email, you can sign up for the Cloud Data Science Newsletter. Announcements.

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Cloud Data Data Science Machine Learning Machine Learning 115

Data Science 101

FEBRUARY 7, 2020

All the large cloud providers had some announcements this past week, plus a global artificial intelligence organization had some news to share. Azure Stream Analytics Anomaly Detection Azure Stream Analytics now has built-in anomaly detection capabilities. The post Cloud Data Science 6 appeared first on Data Science 101.

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Data Science 101

JANUARY 17, 2020

Azure Machine Learning Datasets Learn all about Azure Datasets, why to use them, and how they help. Some news this week out of Microsoft and Amazon. Amazon Builders’ Library is now available in 16 Languages The Builder’s Library is a huge collection of resources about how Amazon builds and manages software.

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Cloud Data Data Science Azure ETL 120

Data Science Blog

FEBRUARY 4, 2023

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science. Cloud Data Platform for shopfloor management and data sources such like MES, ERP, PLM and machine data.

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Cloud Data Data Science Business Intelligence Business Intelligence 147

Data Science 101

NOVEMBER 22, 2019

Here are this week’s news and announcements related to Cloud Data Science. Google is launching Explainable AI which quantifies the impact of the various factors of the data as well as the existing limitations. PyTorch on Azure with streamlined ML lifecycle Microsoft Azure supports the latest version of PyTorch.

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Data Science 101

JANUARY 6, 2020

As 2020 begins, there has been limited cloud data science announcements so I put together some predictions. Cloud Collaboration. I think we are going to see more interoperability between the major cloud providers. Here are 3 things I believe will happen in 2020.

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Data Science 101

DECEMBER 16, 2019

Even though Amazon is taking a break from announcements (probably focusing on Christmas shoppers), there are still some updates in the cloud data science world. Azure Database for MySQL now supports MySQL 8.0 This is the latest major version of MySQL Azure Functions 3.0 Azure Database for MySQL now supports MySQL 8.0

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Cloud Data Data Science Azure Natural Language Processing 81

Data Science 101

DECEMBER 27, 2019

An intro to Azure FarmBeats An innovative idea to bring data science to farmers. It is called data-driven agriculture. Global AI Bootcamp Keynote Eric Boyd from Microsoft gives an overview of the latest features in Azure AI. AWS Deep Learning Containers now support Tensorflow 2.0 Now they support Tensorflow 2.0.

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Cloud Data Data Science Deep Learning Deep Learning 86

Data Science 101

DECEMBER 6, 2019

Democratize AI with Azure Machine Learning designer How do you select the correct machine learning algorithms? What is the new Azure Machine Learning Designer. Azure Arc Announcement from Ignite 2019 Azure Arc allows anyone to run Azure Data services on any hardware. Signup for the Newsletter.

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Cloud Data Data Science Azure Machine Learning 81

Data Science Blog

JULY 23, 2023

One of this aspect is the cloud architecture for the realization of Data Mesh. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. It offers robust IoT and edge computing capabilities, advanced data analytics, and AI services.

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Data Science 101

APRIL 23, 2019

Microsoft Azure has an abundance of data science capabilities (and non-data science capabilities). Luckily, Azure has a page to let you know exactly what has changed. Also, if you are still interested in earning a Microsoft Data Science Certification , join the Study Group.

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Data Science 101

MAY 3, 2019

Occasionally a product in Microsoft Azure will go down. Luckily, Azure has a status page to tell you which servers and services are down. Here is a quick video to help you find that status page.

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insideBIGDATA

MAY 23, 2023

NVIDIA today announced that it is integrating its NVIDIA AI Enterprise software into Microsoft’s Azure Machine Learning to help enterprises accelerate their AI initiatives.

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Data Science 101

MAY 28, 2019

Also, here are the main topics: Azure ML Studio Machine Learning Python High-level knowledge of Azure Products. I took and passed DP-100 during the beta period. I recorded a live video talking about my experience. Below is that section of the live video.

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Data Science 101

JANUARY 10, 2020

Data Drift Monitoring for Azure ML Datasets Azure ML now provides monitoring for when your data changes (called data drift). Courses & Learning. Upcoming Online ML/AI Conference, AWS Innovate A free, online conference hosted by Amazon Web Services.

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Data Science 101

NOVEMBER 7, 2019

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Azure Synapse. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Azure Quantum.

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Data Science 101

MARCH 14, 2020

Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google introduces Cloud AI Platform Pipelines Google Cloud now provides a way to deploy repeatable machine learning pipelines. Azure Functions now support Python 3.8 So, here is the news.

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Cloud Data Data Science Data Warehouse Azure 52

IBM Journey to AI blog

FEBRUARY 2, 2023

These developments have accelerated the adoption of hybrid-cloud data warehousing; industry analysts estimate that almost 50% 2 of enterprise data has been moved to the cloud. What is holding back the other 50% of datasets on-premises? However, a more detailed analysis is needed to make an informed decision.

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Data Science 101

MAY 20, 2019

You can get this information as the Microsoft Azure Data Scientist Checklist. Below is the basic structure of the DP-100: Designing and Implementing a Data Science Solution on Azure. Passing the exam will qualify you for the Azure Data Scientist Associate certification. Azure ML Studio.

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Data Science 101

DECEMBER 4, 2019

Azure Machine Learning allows a person to have multiple Workspaces. It is not clearly obvious how to switch to a different Workspace. This video will provide a quick example of how to switch to a different Workspace.

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Azure ML ML Machine Learning 59

Pickl AI

DECEMBER 26, 2024

Each platform offers unique capabilities tailored to varying needs, making the platform a critical decision for any Data Science project. Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings.

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Data Science Dojo

SEPTEMBER 11, 2024

With this full-fledged solution, you don’t have to spend all your time and effort combining different services or duplicating data. OneLake, being built on Azure Data Lake Storage (ADLS), supports various data formats, including Delta, Parquet, CSV, and JSON.

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Dataconomy

JUNE 16, 2023

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. The business’s solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft.

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Dataversity

NOVEMBER 14, 2022

Identifying the right tools is a key step in the data migration process. There are several use cases and possible scenarios for a data migration project. For example, you might lift and shift the data from […]. The post Azure Data Migration: 5 Tools to Know About appeared first on DATAVERSITY.

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Azure Cloud Data 52

Alation

NOVEMBER 11, 2021

Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them. Whether you’re using a platform like AWS, Google Cloud, or Microsoft Azure, data governance is just as essential as it is for on-premises data.

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Alation

NOVEMBER 15, 2021

In 2019 the EDM Council decided that a new extension for managing sensitive data in the cloud was required, so they created the Cloud Data Management Capability (CDMC) working group. The working group produced a new Cloud Data Management Framework for sensitive data, which was announced earlier this month.

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Data Science 101

MARCH 7, 2019

Here are details about the 3 certification of interest to data scientists and data engineers. Azure Data Scientist Associate. Exams Required: DP-100: Designing and Implementing a Data Science Solution on Azure. For more details and to register, go to the Azure Data Scientist Associate page.

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IBM Journey to AI blog

MAY 12, 2023

IBM’s recommendations included API-specific improvements, bot UX optimization, workflow optimization, DevOps microservices and design consideration, and best practices for Azure manage services.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. By integrating QnABot with Azure Active Directory, Principal facilitated single sign-on capabilities and role-based access controls.

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phData

MARCH 20, 2023

The discussion points in this interview will include a review of your current experience as it relates to cloud data engineering and solution engineering. We pay for your technology certifications (AWS, Azure, Snowflake , etc.) This person will also discuss the daily duties of this role.

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Cloud Data Azure Data Engineering Data Engineer 98

The Data Administration Newsletter

JANUARY 20, 2021

In the cloud-era, should you store your corporate data in Cosmos DB on Azure, Cloud Spanner on the Google Cloud Platform, or in the Amazon Quantum Ledger? However, they […].

Azure 98

Azure Database Big Data Big Data 98

Smart Data Collective

NOVEMBER 15, 2022

Most cloud storage providers offer some kind of sharing feature that allows you to send a link to a file or folder to another person with just a few clicks. Where is Your Cloud Data Stored? The thing about cloud managed services is that they are often spread out across multiple servers in multiple locations.

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