Data Science Blog

SEPTEMBER 3, 2024

Dabei darf gerne in Erinnerung gerufen werden, dass Process Mining im Kern eine Graphenanalyse ist, die ein Event Log in Graphen umwandelt, Aktivitäten (Events) stellen dabei die Knoten und die Prozesszeiten die Kanten dar, zumindest ist das grundsätzlich so. Es handelt sich dabei also um eine Analysemethodik und nicht um ein Tool.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

AWS Machine Learning Blog

NOVEMBER 25, 2024

We provide a step-by-step guide for the Azure AD configuration and demonstrate how to set up the Amazon Q connector to establish this secure integration. Each published event, page, link, file, comment, OneNote, and attachment on the SharePoint site is treated as a document.

Azure 96

Azure Natural Language Processing AWS AI 96

Data Science Dojo

OCTOBER 31, 2024

Additionally, knowledge of cloud platforms (AWS, Google Cloud) and experience with deployment tools (Docker, Kubernetes) are highly valuable. Additionally, experience in cloud platforms like AWS, Google Cloud, and Azure is often required, as most remote data workflows operate on cloud infrastructure.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

ODSC - Open Data Science

OCTOBER 27, 2023

About the author Anjan Biswas is a Senior AI Specialist Solutions Architect at Amazon Web Services (AWS). Interested in attending an ODSC event? Learn more about our upcoming events here. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

AWS 98

AWS AI AI Data Science 98

IBM Journey to AI blog

AUGUST 23, 2023

Deploying extensive encryption is considered the most substantial cost-mitigating factor in the event of a data breach. Securing sensitive data in Microsoft Azure takes a significant stride forward with the adoption of the BYOK or customer-managed key option. How can you properly protect sensitive data in the public cloud?

Azure 67

Azure AWS 67

Dataconomy

SEPTEMBER 4, 2023

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them. It seeks to identify the root causes of specific outcomes or issues.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Dojo

MAY 25, 2023

After all, CSPM’s (Cloud Security Posture Management’s) capacity to spot cloud network errors and safeguard your data housed in Azure, Google Cloud, AWS, and other cloud hosting alternatives can’t be replaced by SSPM. SSPM vs. CSPM CSPM SSPM Focus areas Watching over cloud services like Azure, Cloud, and AWS.

Azure 195

Azure Power BI AWS Analytics 195

ODSC - Open Data Science

AUGUST 3, 2023

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. Check them out here.

Big Data 52

Big Data Big Data AWS ML 52

Dataconomy

JUNE 16, 2023

In order to prevent data loss, its system continuously monitors staff and offers event-driven security awareness training. 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.

AI 193

AI AI Natural Language Processing Data Classification 193

Data Science Blog

JUNE 21, 2023

Cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), provide scalable and flexible infrastructure options. By utilizing these services, organizations can store large volumes of event data without incurring substantial expenses.

Big Data 130

Big Data Big Data Data Engineer Data Engineering 130

Data Science Blog

FEBRUARY 7, 2023

Die Daten bereiten wir in sogenannte Event Logs, also Prozessprotokolle, auf und laden sie dann ein eines der vielen Process Mining Tools, egal in welches. Bei Process Mining nehmen wir uns die Log-Daten von operativen IT-Systemen vor, in denen Unternehmensprozesse erfasst sind.

Business Intelligence 286

Business Intelligence Business Intelligence Data Warehouse Data Lakes 286

Smart Data Collective

APRIL 29, 2020

AWS Glue helps users to build data catalogues, and Quicksight provides data visualisation and dashboard construction. The services from AWS can be catered to meet the needs of each business user. Profisee notices changes in data and assigns events within the systems. Microsoft Azure. SharePoint.

Data Warehouse 87

Data Warehouse SQL Azure ETL 87

IBM Journey to AI blog

OCTOBER 17, 2023

The key components of Instana are host agents and agent sensors deployed on platforms like IBM Cloud®, AWS, and Azure. Supported cloud platforms with IBM Instana IBM Instana supports IBM Cloud, AWS, Azure and SAP. The components gather, consolidate, and transmit detailed monitoring data to the Instana backend.

Clustering 92

Clustering Azure AWS Database 92

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. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

MARCH 17, 2023

We use an example of an illustrative Microsoft Teams instance where users discuss technical topics related to AWS. The Amazon Kendra connector for Microsoft Teams can integrate with AWS IAM Identity Center (Successor to AWS Single Sign-On). Basic knowledge of AWS and working knowledge of Microsoft Teams. Choose Save.

AWS 100

AWS Azure Machine Learning Machine Learning 100

IBM Data Science in Practice

FEBRUARY 21, 2023

But it’s interoperable on any cloud like Azure, AWS or GCP. You can use OpenScale to monitor these events. It focus on the monitoring and retraining policies that are keen for continious training. The provided code to this article refers to IBM’S CP4D and demonstrates how a continuous training could be implemented.

Machine Learning 130

Machine Learning Machine Learning AI AI 130

phData

APRIL 29, 2024

Recognizing these specific needs, Fivetran has developed a range of connectors, including dedicated applications, databases, files, and events, which can accommodate the diverse formats used by healthcare systems. Addressing these needs may pose challenges that lead to the implementation of custom solutions rather than a uniform approach.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

ODSC - Open Data Science

MAY 5, 2023

Microsoft Azure As one of the most popular data science cloud options, Microsoft Azure is designed for AI. With more than 200 products and services under its belt, and its speed, flexibility, and affordability options, Azure is popular for a reason. Azure is also compatible with its massive library of other services as well.

Data Science 52

Data Science Data Engineering Data Engineering Data Engineer 52

phData

FEBRUARY 14, 2023

Fivetran Fivetran is a tool dedicated to replicating applications, databases, events, and files into a high-performance data warehouse, such as Snowflake. This is a great solution for those wanting to perform data ingestion into Snowflake who may already have other services with Azure.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

phData

MARCH 7, 2023

Note: Recommended to only edit the configuration marked as TODO gg.target=snowflake #The Snowflake Event Handler #TODO: Edit JDBC ConnectionUrl gg.eventhandler.snowflake.connectionURL=jdbc:snowflake://.snowflakecomputing.com/?warehouse= The S3 Event Handler #TODO: Edit the AWS region #gg.eventhandler.s3.region= gg.classpath=./snowflake-jdbc-3.13.7.jar

Hadoop 59

Hadoop Database Data Warehouse AWS 59

IBM Journey to AI blog

FEBRUARY 15, 2024

Logs Logs include discrete events recorded every time something occurs in the system, such as status or error messages, or transaction details. In DevOps , the concept of observability has evolved to refer to the end-to-end visibility of a system state as dictated by telemetry data.

Clustering 84

Clustering Azure Data Visualization AWS 84

IBM Journey to AI blog

AUGUST 12, 2024

Data characteristics and preprocessing AIOps tools handle a range of data sources and types, including system logs, performance metrics, network data and application events. The process includes activities such as anomaly detection, event correlation, predictive analytics, automated root cause analysis and natural language processing (NLP).

Big Data 106

Big Data Big Data ML ML 106

Pickl AI

JANUARY 31, 2025

Workload Resilience: Cloud providers often deploy redundant resources to ensure that workloads remain operational even in the event of a failure. Examples include Amazon Web Services (AWS) EC2 and Microsoft Azure. Examples include AWS Lambda and Azure Functions.

Cloud Computing 52

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

DECEMBER 1, 2023

Amazon Web Services (AWS), Google Cloud Services, IBM Cloud or Microsoft Azure)—hosts public cloud resources like individual virtual machines (VM) and services over the public internet. In the event of a catastrophe, the cloud provider can implement and orchestrate the company’s DR plan to ensure business continuity.

Cloud Computing 102

Cloud Computing AWS AI AI 102

IBM Journey to AI blog

NOVEMBER 13, 2023

As an open-source system, Kubernetes services are supported by all the leading public cloud providers, including IBM, Amazon Web Services (AWS), Microsoft Azure and Google. For instance, Kubernetes’ built-in high availability (HA) feature ensures continuous operations even in the event of failure.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

IBM Journey to AI blog

SEPTEMBER 4, 2024

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. Apache’s architecture is made up of three categories—events, producers and consumers—and it relies heavily on application programming interfaces (APIs) to function.

Apache Kafka 58

Apache Kafka Internet of Things Data Pipeline Clustering 58

Snorkel AI

OCTOBER 9, 2024

In addition to empowering admins to manually provision users and configure access on the platform, Snorkel Flow can sync with external identity providers like Azure Active Directory to directly consume entitlement information within SAML or OIDC SSO integrations.

Azure 52

Azure AWS Data Lakes Clustering 52

ODSC - Open Data Science

JUNE 8, 2023

Speakers, partners, and attendees all gathered for separate networking events Tuesday and Wednesday nights to share some drinks, talk shop, and make new friends after a long day. Extra Events ODSC events are more than just data science training and networking events. That’s it for our ODSC East 2023 highlights!

Data Science 52

Data Science Machine Learning Machine Learning ML 52

IBM Journey to AI blog

JUNE 17, 2024

Cloud-native workloads: Applications that use virtual machines (VMs), containers, databases or object storage in AWS, Microsoft® Azure and other clouds should have a backup strategy. Top cloud service providers: AWS, Microsoft Azure, IBM Cloud, Google Cloud and Oracle.

Azure 49

Azure Database AWS AI 49

DataRobot

NOVEMBER 15, 2021

Learn more with our program of exclusive industry-events showcasing how DataRobot and Snowflake can help unleash the power of AI Cloud and the Data Cloud. DataRobot AI Cloud on AWS. Industry Unleashed: An Exclusive Insights Webinar Series by DataRobot and Snowflake. Learn more. Find out more.

Machine Learning 52

Machine Learning Machine Learning AWS AI 52

IBM Journey to AI blog

FEBRUARY 6, 2024

Internet companies like Amazon led the charge with the introduction of Amazon Web Services (AWS) in 2002, which offered businesses cloud-based storage and computing services, and the launch of Elastic Compute Cloud (EC2) in 2006, which allowed users to rent virtual computers to run their own applications. Google Workspace, Salesforce).

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

Cambridge Intelligence

OCTOBER 19, 2023

In this post, we’ll take a look at some of the factors you could investigate, and introduce the six databases our customers work with most often: Amazon Neptune ArangoDB Azure Cosmos DB JanusGraph Neo4j TigerGraph Why these six graph databases?

Database 59

Database Azure SQL Analytics 59

ODSC - Open Data Science

FEBRUARY 6, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Interested in attending an ODSC event? Learn more about our upcoming events here.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

JANUARY 15, 2025

This is particularly useful for organizations already having PII data encrypted by a passkey in other data systems like legacy databases and object stores like AWS S3. In that scenario, the encryption and decryption code will reside outside Snowflake, for example, in an AWS Lambda. execute-api.us-west-2.amazonaws.com/snowflake-external-function-api-stage/'

AWS 52

AWS Data Governance Azure SQL 52

phData

MAY 27, 2024

Limitations Hybrid tables are currently a public preview feature and are only available for accounts based in certain Amazon Web Services (AWS) regions. They are not currently supported by accounts in Azure or Google Cloud Platform (GCP). Plan your schema to optimize performance and avoid dropping and recreating the tables later.

Database 52

Database Analytics Analytics Azure 52

IBM Journey to AI blog

AUGUST 6, 2024

Today, all leading CSPs, including Amazon Web Services (AWS Lambda), Microsoft Azure (Azure Functions) and IBM (IBM Cloud Code Engine) offer serverless platforms. In a serverless model, an event triggers app code to run. Automated serverless functions are stateless and designed to handle individual events.

Cloud Computing 45

Cloud Computing Internet of Things Big Data Big Data 45

IBM Journey to AI blog

JANUARY 29, 2024

Your business needs to be prepared to handle such an event. Examples include AWS® , Google Cloud Services® , IBM Cloud® , and Microsoft Azure® The cloud computing infrastructure bridges a gap for cloud resources, making it easier and scalable for an organization to run every workload.

Artificial Intelligence 85

Artificial Intelligence Artificial Intelligence Internet of Things AWS 85