AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 89

Data Quality Visualization Metadata Metrics 89

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

AWS Big Data

APRIL 26, 2024

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles.

Analytics 95

Analytics Data Lake Management Enterprise 95

AWS Big Data

MARCH 11, 2024

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. DG emerges for the big data side of the world, e.g., the Alation launch in 2012. Allows metadata repositories to share and exchange. That would’ve been heresy in earlier years.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

SEPTEMBER 26, 2023

AWS Lake Formation helps you centrally govern, secure, and globally share data for analytics and machine learning. With Lake Formation, you can manage access control for your data lake data in Amazon Simple Storage Service (Amazon S3 ) and its metadata in AWS Glue Data Catalog in one place with familiar database-style features.

Data Lake 65

Data Lake Metadata Management Modeling 65

AWS Big Data

JUNE 13, 2023

Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file. Download the Keycloak IdP SAML metadata file from that URL location. For Metadata document , upload the Keycloak IdP SAML metadata XML file you downloaded and saved to your local machine earlier. Choose Browse.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

AWS Big Data

MAY 9, 2024

The objective is to create views in the Data Catalog so you can create a single common view schema and metadata object to use across engines (in this case, Athena). About the Authors Leonardo Gomez is a Principal Analytics Specialist Solutions Architect at AWS. You can share the view with different users to query using Athena.

Data Lake 84

Data Lake Metadata Management Big Data 84

AWS Big Data

SEPTEMBER 6, 2023

They are being applied in numerous ways, including monitoring website traffic, tracking industrial Internet of Things (IoT) devices, analyzing video game player behavior, and managing data for cutting-edge analytics systems. Apache Kafka, a top-tier open-source tool, is making waves in this domain.

Testing 97

Testing Metadata Cost-Benefit Management 97

AWS Big Data

SEPTEMBER 29, 2023

XML files are well-suited for applications, but they may not be optimal for analytics engines. In order to enhance query performance and enable easy access in downstream analytics engines such as Amazon Athena , it’s crucial to preprocess XML files into a columnar format like Parquet. This approach optimizes the use of your XML files.

Metadata 65

Metadata Visualization Data-driven Optimization 65

AWS Big Data

DECEMBER 18, 2023

Amazon S3 hosts the metadata of all the tables as a.csv file. The pipeline uses the Step Functions distributed map to read the table metadata from Amazon S3, iterate on every single item, and call the downstream AWS Glue job in parallel to export the data. The following diagram illustrates the Step Functions workflow.

Metadata 121

Metadata Visualization Data Lake Data-driven 121

AWS Big Data

FEBRUARY 23, 2023

The metadata document from your IdP. To download it, refer to Federation Metadata Explorer. For Metadata document , upload the metadata document you downloaded as a prerequisite. For Federation metadata address , enter [link]. An AD user with permissions to manage AD FS and AD group membership. Choose Add provider.

Metadata 71

Metadata Dashboards Management Enterprise 71

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector. The data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

AUGUST 28, 2023

By converting logs and events using Open Cybersecurity Schema Framework , an open standard for storing security events in a common and shareable format, Security Lake optimizes and normalizes your security data for analysis using your preferred analytics tool. In the Specify permissions section, choose JSON to open the policy editor.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

JANUARY 22, 2024

As illustrated in the preceding figure, some domains are loosely coupled to other domains’ operational or analytical endpoints, with a different ownership. Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

AWS Big Data

MARCH 1, 2024

BMO has accumulated sensitive financial data and needed to build an analytic environment that was secure and performant. Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. Only users with required permissions are allowed to access data in clear text.

Data Lake 100

Data Lake Data Warehouse Management Risk 100

AWS Big Data

MARCH 22, 2023

The IdP metadata is displayed. In the SAML Certificates section, download the Federation Metadata XML file and the Certificate (Raw) file. For IdP SAML metadata under the Identity provider metadata section, choose Choose file. Choose the previously downloaded metadata file ( IIC-QuickSight.xml ). Choose Save.

Management 95

Management Metadata Enterprise Testing 95

Domino Data Lab

AUGUST 8, 2019

The gist is, leveraging metadata about research datasets, projects, publications, etc., Plus, we’re seeing how these issues surface in regulated environments, which have increasingly become target use cases for the popular open source projects used for data analytics infrastructure: Spark, Jupyter, Kafka, etc. Or something.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” Those workflows would feedback into your business analytics. They would’ve said, “You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JUNE 2, 2019

And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. I recall a “Data Drinkup Group” gathering at a pub in Palo Alto, circa 2012, where I overheard Pete Skomoroch talking with other data scientists about Kahneman’s work.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

AWS Big Data

APRIL 28, 2023

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. The workflow steps are as follows: A user authenticates on an IdP used by the analytics tool that they are trying to access.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

AWS Big Data

MAY 4, 2023

Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to set up and manage data warehouse clusters. Use the IdP metadata in block 4 and save the metadata file in.xml format (for example, metadata.xml ). Choose Choose file and upload the metadata file (.xml) Choose Add provider.

Finance 82

Finance Data Warehouse Sales Metadata 82

AWS Big Data

NOVEMBER 30, 2023

After you finish entering the required cluster metadata and create the resource, you can check the status for IdC integration in the properties. He is an industry leader in analytics, application platform, and database technologies, and has more than 25 years of experience in the IT world.

Data Warehouse 81

Data Warehouse Finance Sales Management 81

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Metadata and artifacts needed for audits. Use ML to unlock new data types—e.g., images, audio, video.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Domino Data Lab

SEPTEMBER 9, 2019

This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. Let’s analyze text data from the party conventions during the 2012 US Presidential elections. Introduction. get_data(). ?

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110