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 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

FEBRUARY 15, 2020

Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. It involves solving a data puzzle using Big Query. Google has an updated Data Engineering Learning path. The post Cloud Data Science 7 appeared first on Data Science 101.

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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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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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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

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

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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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 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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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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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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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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Azure Machine Learning Machine Learning AI 221

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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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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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

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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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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phData

APRIL 29, 2024

Fivetran enables healthcare organizations to ingest data securely and effectively from a variety of sources into their target destinations, such as Snowflake or other cloud data platforms, for further analytics or curation for sharing data with external providers or customers.

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SQL Azure Data Warehouse Cloud Data 52

Data Science Blog

MAY 15, 2023

Data Lakehouses werden auf Cloud-basierten Objektspeichern wie Amazon S3 , Google Cloud Storage oder Azure Blob Storage aufgebaut. In einem Data Lakehouse werden die Daten in ihrem Rohformat gespeichert, und Transformationen und Datenverarbeitung werden je nach Bedarf durchgeführt. So basieren z.

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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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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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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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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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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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AI AI Natural Language Processing Data Classification 193

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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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 […].

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Azure Database Big Data Big Data 98

phData

FEBRUARY 14, 2023

Fivetran works with all three Snowflake cloud providers. If using a network policy with Snowflake, be sure to add Fivetran’s IP address list , which will ensure Azure Data Factory (ADF) Azure Data Factory is a fully managed, serverless data integration service built by Microsoft.

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Data Warehouse Azure AWS Database 59

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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Cloud Computing Azure Cloud Data AWS 107

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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Precisely

MARCH 14, 2023

First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure. But early adopters realized that the expertise and hardware needed to manage these systems properly were complex and expensive.

Data Quality 52

Data Quality Cloud Data Data Observability Data Pipeline 52

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management. Microsoft Azure.

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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

ODSC - Open Data Science

FEBRUARY 6, 2024

This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time. Each platform offers unique features and benefits, making it vital for data engineers to understand their differences.

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Data Engineering Data Engineer Data Engineering Data Engineering 52

Dataconomy

SEPTEMBER 4, 2023

Data integration: Integrate data from various sources into a centralized cloud data warehouse or data lake. Ensure that data is clean, consistent, and up-to-date. Use ETL (Extract, Transform, Load) processes or data integration tools to streamline data ingestion.

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DataRobot Blog

MARCH 17, 2022

DataRobot AI Cloud 8.0 now gives every business the ability to work with more types of models, while accelerating time to value and removing barriers to data through a complete set of pre-built integrations, with write-back capabilities to the most popular cloud data stores— including Snowflake.

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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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