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. Amazon AWS.

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Cloud Data Data Science Azure AWS 96

Dataconomy

SEPTEMBER 4, 2023

The modern corporate world is more data-driven, and companies are always looking for new methods to make use of the vast data at their disposal. Cloud analytics is one example of a new technology that has changed the game. What is cloud analytics? How does cloud analytics work?

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

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

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.

Cloud Data 90

Cloud Data Data Science Azure Artificial Intelligence 90

Data Science 101

JANUARY 17, 2020

Azure Machine Learning Datasets Learn all about Azure Datasets, why to use them, and how they help. 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. Some news this week out of Microsoft and Amazon.

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Cloud Data Data Science Azure ETL 120

Data Science Blog

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

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Data Warehouse Azure SQL Database 259

Data Science Dojo

SEPTEMBER 11, 2024

Microsoft Fabric aims to reduce unnecessary data replication, centralize storage, and create a unified environment with its unique data fabric method. Microsoft Fabric is a cutting-edge analytics platform that helps data experts and companies work together on data projects. What is Microsoft Fabric?

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Power BI Data Pipeline Data Warehouse Data Engineering 337

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 Power BI Cloud Data Exploratory Data Analysis 78

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

Analytics Vidhya

APRIL 11, 2022

With the shifting to online and virtual business models, cloud computing has helped enhance corporate workflow and reduce office infrastructure costs. The post Top Certifications in Cloud Computing in 2022 appeared first on Analytics Vidhya. The […].

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Cloud Computing Analytics Analytics Azure 318

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. Elastic cloud resources enable seamless handling of large datasets and computations.

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Data Science Cloud Computing Machine Learning Machine Learning 52

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.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined. No problem!

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Power BI Analytics Analytics Azure 84

Data Science Blog

NOVEMBER 15, 2023

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. Click to enlarge!

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Data Modeling Data Models Business Intelligence Business Intelligence 245

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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Analytics Vidhya

OCTOBER 25, 2023

This article explores data management’s key tool features and lists the top tools for 2023. Why Use Data […] The post Top 9 Data Management Tools to Use in 2023 appeared first on Analytics Vidhya. These tools will serve as an asset to your enterprise workflow pipeline.

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Database Analytics Analytics Data Warehouse 220

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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Cloud Data Tableau Azure Analytics 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. Data transformation.

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Data Warehouse SQL Azure ETL 98

Smart Data Collective

JANUARY 10, 2023

Every company should clearly understand and plan in detail how the received data will be used further, how it can be distributed, and who will get access to it. Ensure cloud data storage. For enjoying all the benefits that IoT technologies can offer us today, it is vital to find a place where all the gathered data will be kept.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

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.) Anyone in the industry knows just how often the landscape of data and analytics changes.

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Cloud Data Azure Data Engineering Data Engineer 98

phData

NOVEMBER 8, 2024

These systems are built on open standards and offer immense analytical and transactional processing flexibility. Adopting an Open Table Format architecture is becoming indispensable for modern data systems. Schema Evolution Data structures are rarely static in fast-moving environments. Why are They Essential?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

phData

FEBRUARY 21, 2025

A data warehouse acts as a single source of truth for an organization’s data, providing a unified view of its operations and enabling data-driven decision-making. A data warehouse enables advanced analytics, reporting, and business intelligence. On the other hand, cloud data warehouses can scale seamlessly.

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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

How to Learn Machine Learning

APRIL 26, 2025

So, they very often work with data engineers, analysts, and business partners to achieve that. Working largely with large-scale systems like Apache Spark, Kafka, and Hadoop, as well as cloud platforms such as AWS , Azure, or Google Cloud, data engineers ensure secure and large-scale movement of data across environments.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

DataRobot Blog

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. Here are five key takeaways from one of the biggest data conferences of the year. Data Analysis Must Include Business Value. See DataRobot AI Cloud in Action. Request a Demo. and/or its affiliates in the U.S.

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Analytics Analytics Machine Learning Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5

Database 101

Database SQL Data Warehouse Machine Learning 101

phData

APRIL 29, 2024

In our previous blog, Top 5 Fivetran Connectors for Financial Services , we explored Fivetran’s capabilities that address the data integration needs of the finance industry. Now, let’s cover the healthcare industry, which also has a surging demand for data and analytics, along with the underlying processes to make it happen.

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SQL Data Warehouse Azure Cloud Data 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.

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Cloud Computing Internet of Things Big Data Big Data 112

phData

FEBRUARY 14, 2023

Fivetran is the answer for anyone looking to focus their efforts on analytics and not pipeline management. Fivetran works with all three Snowflake cloud providers. It includes an intuitive visual environment where users can create data ingestion pipelines with little to no code.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Pickl AI

OCTOBER 15, 2024

This stage may involve filtering, sorting, or merging data. The final step is loading, which involves placing the transformed data into a centralised system for further use, such as reporting or analytics. It supports both batch and real-time data processing , making it highly versatile.

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ETL Azure AWS Data Governance 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

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

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.

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Azure Database Analytics Analytics 71

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. Looker focuses on providing user-friendly interfaces with an emphasis on collaboration and self-service analytics.

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Big Data Big Data Power BI Tableau 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.

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Natural Language Processing AI AI Azure 88

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.

AI 52

AI AI Machine Learning Machine Learning 52

phData

SEPTEMBER 2, 2024

Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP. It offers a cloud-agnostic data productivity hub called Matillion Data Productivity Cloud. Some of the supported ones for the Matillion ETL/ELT are GitHub , Bitbucket , and Azure DevOps.

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ETL Data Warehouse SQL Database 52