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. Google Cloud.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

Data Science Blog

JULY 23, 2023

Applications of BI, Data Science and Process Mining grow together More and more all these disciplines are growing together as they need to be combined in order to get the best insights. So while Process Mining can be seen as a subpart of BI while both are using Machine Learning for better analytical results.

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Data Science Azure Power BI Business Intelligence 246

Data Science 101

NOVEMBER 22, 2019

Here are this week’s news and announcements related to Cloud Data Science. Google Introduces Explainable AI Many industries require a level of interpretability for their machine learning models. Google is beginning to make single page “cards” for common machine learning tasks.

Cloud Data 99

Cloud Data Data Science Azure AWS 99

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. AI Powered Speech Analytics for Amazon Connect This video walks thru the AWS products necessary for converting video to text, translating and performing basic NLP.

Cloud Data 120

Cloud Data Data Science Azure ETL 120

Data Science 101

DECEMBER 6, 2019

Huge week of machine learning news from Amazon. And there are…tons… of machine learning announcements from that event. Amazon SageMaker Studio A browser-based Integrated Development Environment (IDE) for machine learning. Amazon SageMaker Model Monitor Monitoring production models for data drift.

Cloud Data 81

Cloud Data Data Science Azure Machine Learning 81

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

Cloud Data 81

Cloud Data Data Science Azure Natural Language Processing 81

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. Organizations do not have the time to adopt a new cloud provider every time the requirements change.

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Data Science Cloud Data Azure Data Scientist 116

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 170

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.

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

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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Azure Data Science Machine Learning Machine Learning 92

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 Azure SQL Machine Learning 106

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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AWS AI AI Machine Learning 121

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Retailers use cloud-based analytics to personalise customer recommendations in real-time.

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Data Science Cloud Computing Machine Learning Machine Learning 52

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. Machine Learning.

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Data Science Azure Data Scientist Machine Learning 111

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

Cloud Data 52

Cloud Data Data Science Data Warehouse Azure 52

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

How to Learn Machine Learning

APRIL 26, 2025

Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis. Data Analysis and Modeling This stage is focused on discovering patterns, trends, and insights through statistical methods, machine-learning models, and algorithms.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

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

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

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Data Warehouse Cloud Data Analytics Analytics 58

Dataconomy

SEPTEMBER 4, 2023

Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases. These tools offer the flexibility of accessing insights from anywhere, and they often integrate with other cloud analytics solutions.

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Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

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Data Science Machine Learning Machine Learning Data Visualization 150

Dataconomy

MAY 29, 2025

Some notable use cases include: Cloud service integration: Seamless access to data through cloud platforms enhances operational efficiency. E-commerce applications: Retailers leverage data to better understand consumer habits and optimize offerings. Narrative: Emphasizes personalized data solutions.

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Azure Big Data Big Data Data Quality 91

Data Science Blog

NOVEMBER 15, 2023

Machine Learning for Process and Task Mining on Text and Video Data Process Mining and Task Mining is already benefiting a lot from Text Recognition (Named-Entity Recognition, NER) by Natural Lamguage Processing (NLP) by identifying events of processes e.g. in text of tickets or e-mails. Click to enlarge!

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Data Modeling Data Models Business Intelligence Business Intelligence 245

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For Azure AD, you must also specify a unique identifier for the scope.

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AWS Data Preparation Azure Data Scientist 123

IBM Journey to AI blog

SEPTEMBER 11, 2023

How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5 enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments.

Database 101

Database SQL Data Warehouse Machine Learning 101

DataRobot Blog

MARCH 17, 2022

At DataRobot, we also know that business apps can only enable our customers to nimbly act on insights when the data driving the models can be trusted. During the pandemic, we witnessed mature machine learning models failing overnight because models trained on 2019 data didn’t know what to do with 2020 market conditions.

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AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

MARCH 20, 2024

What is a public cloud? A public cloud is a type of cloud computing in which a third-party service provider (e.g., Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure) makes computing resources (e.g., Most often, only the most relevant data is processed at the edge.

Cloud Computing 112

Cloud Computing Internet of Things Big Data Big Data 112

DataRobot Blog

SEPTEMBER 6, 2022

That’s why DataRobot University offers courses not only on machine learning and data science but also on problem solving, use case framing, and driving business outcomes. Because it’s not just about the data itself, it’s about how you convey the value and solve use cases. See DataRobot AI Cloud in Action.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52

Precisely

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. 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.

Data Quality 52

Data Quality Cloud Data Data Pipeline Data Observability 52

IBM Journey to AI blog

APRIL 18, 2023

Across industries, the exponential growth of technologies such as hybrid cloud, data and analytics, AI and IoT have reshaped the way businesses operate and heightened customer expectations. The last decade has seen an unparalleled level of digital transformation, which soared to even greater heights during the last three years.

Natural Language Processing 88

Natural Language Processing AI AI Azure 88

Pickl AI

OCTOBER 15, 2024

Talend Talend is a leading open-source ETL platform that offers comprehensive solutions for data integration, data quality , and cloud data management. It supports both batch and real-time data processing , making it highly versatile. It is well known for its data provenance and seamless data routing capabilities.

ETL 52

ETL Azure AWS Data Governance 52

phData

JUNE 3, 2024

Snowflake AI Data Cloud has become a premier cloud data warehousing solution. Maybe you’re just getting started looking into a cloud solution for your organization, or maybe you’ve already got Snowflake and are wondering what features you’re missing out on. Snowflake has you covered with Cortex.

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Machine Learning Machine Learning Database Cloud Data 52

Mlearning.ai

FEBRUARY 16, 2023

The platform enables quick, flexible, and convenient options for storing, processing, and analyzing data. The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Therefore, the tool is referred to as cloud-agnostic. What does Snowflake do?

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

The MLOps Blog

MAY 17, 2023

Often the Data Team, comprising Data and ML Engineers , needs to build this infrastructure, and this experience can be painful. We also discuss different types of ETL pipelines for ML use cases and provide real-world examples of their use to help data engineers choose the right one.

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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 Engineer Data Engineering Data Engineering Data Engineering 52

IBM Journey to AI blog

AUGUST 3, 2023

IBM Security® Discover and Classify (ISDC) is a data discovery and classification platform that delivers automated, near real-time discovery, network mapping and tracking of sensitive data at the enterprise level, across multi-platform environments.

Azure 71

Azure Database Analytics Analytics 71

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

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Data Governance ML ML Cloud Data 59