O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. Watermark attacks.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Rocket-Powered Data Science

MARCH 10, 2020

The book is awesome, an absolute must-have reference volume, and it is free (for now, downloadable from Neo4j ). Finally, in Chapter 8, the connection between graph algorithms and machine learning that was implicit throughout the book now becomes explicit. Graph Algorithms book.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

AWS Big Data

NOVEMBER 19, 2024

Solution overview By combining the powerful vector search capabilities of OpenSearch Service with the access control features provided by Amazon Cognito , this solution enables organizations to manage access controls based on custom user attributes and document metadata. Refer to Service Quotas for more details.

Management 98

Management Metadata Manufacturing Testing 98

AWS Big Data

DECEMBER 17, 2024

Today, Amazon Redshift is used by customers across all industries for a variety of use cases, including data warehouse migration and modernization, near real-time analytics, self-service analytics, data lake analytics, machine learning (ML), and data monetization. Industry-leading price-performance: Amazon Redshift launches RA3.large

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

AWS Big Data

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

Metadata 95

Metadata Data Governance Metrics Marketing 95

AWS Big Data

APRIL 24, 2025

You can secure and centrally manage your data in the lakehouse by defining fine-grained permissions with Lake Formation that are consistently applied across all analytics and machine learning(ML) tools and engines. For more details, refer to Tags for AWS Identity and Access Management resources and Pass session tags in AWS STS.

Sales 88

Sales Data Lake Management Data-driven 88

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. They aren’t using analytics and AI tools in isolation. Having confidence in your data is key.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

Cloudera

AUGUST 24, 2022

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. CML empowers organizations to build and deploy machine learning and AI capabilities for business at scale, efficiently and securely, anywhere they want. References. Cloudera Machine Learning.

Machine Learning 83

Machine Learning Metadata Testing Data Science 83

AWS Big Data

DECEMBER 4, 2024

Extract, transform, and load (ETL) is the process of combining, cleaning, and normalizing data from different sources to prepare it for analytics, artificial intelligence (AI), and machine learning (ML) workloads. The data is also registered in the Glue Data Catalog , a metadata repository. Kamen Sharlandjiev is a Sr.

Data Integration 114

Data Integration Data Lake Statistics Data-driven 114

CIO Business Intelligence

SEPTEMBER 19, 2024

This enables companies to directly access key metadata (tags, governance policies, and data quality indicators) from over 100 data sources in Data Cloud, it said. Additional to that, we are also allowing the metadata inside of Alation to be read into these agents.” That work takes a lot of machine learning and AI to accomplish.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

AWS Big Data

FEBRUARY 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. For instructions, refer to How to Set Up a MongoDB Cluster. Choose the table to view the schema and other metadata.

Metadata 98

Metadata Data Lake Machine Learning Big Data 98

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. Amazon Athena is used to query, and explore the data.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

Rocket-Powered Data Science

JULY 19, 2023

If my explanation above is the correct interpretation of the high percentage, and if the statement refers to successfully deployed applications (i.e., One could say that sentinel analytics is more like unsupervised machine learning, while precursor analytics is more like supervised machine learning.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

AWS Big Data

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable. You can integrate different technologies or tools to build a solution.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This puts into perspective the role of active metadata management. What is Active Metadata management?

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. To create an S3 bucket, refer to Creating a bucket.

Visualization 114

Visualization Metadata Testing Internet of Things 114

erwin

JANUARY 3, 2020

Gartner even refers to them as “the new black in data management and analytics.”. In addition, ethical artificial intelligence (AI) and machine learning (ML) applications will be used by organizations to ensure their training data sets are well-defined, consistent and of high quality.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

AWS Big Data

APRIL 3, 2024

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. Snowflake writes Iceberg tables to Amazon S3 and updates metadata automatically with every transaction.

Data Lake 126

Data Lake Snapshot Metadata Data Architecture 126

CIO Business Intelligence

MARCH 24, 2023

While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM). Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

FEBRUARY 16, 2023

This data can then be easily analyzed to provide insights or used to train machine learning models. To be able to annotate the specified content consistently and unambiguously, these experts usually follow a set of specific conventions, which are referred to as “annotation guidelines”. What Is A Human Benchmark?

Metadata 59

Metadata Measurement Metrics Modeling 59

Ontotext

DECEMBER 15, 2022

Enter metadata. Metadata describes data and includes information such as how old data is, where it was created, who owns it, and what concepts (or other data) it relates to. As a result, leveraging metadata has become a core capability for businesses trying to extract value from their data. Knowledge (metadata) layer.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

AWS Big Data

DECEMBER 16, 2024

This fragmented, repetitive, and error-prone experience for data connectivity is a significant obstacle to data integration, analysis, and machine learning (ML) initiatives. To learn more, refer to Amazon SageMaker Unified Studio. This approach simplifies your data journey and helps you meet your security requirements.

Visualization 92

Visualization Data Processing Testing Publishing 92

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

CIO Business Intelligence

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

FEBRUARY 29, 2024

The need for an end-to-end strategy for data management and data governance at every step of the journey—from ingesting, storing, and querying data to analyzing, visualizing, and running artificial intelligence (AI) and machine learning (ML) models—continues to be of paramount importance for enterprises.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

AWS Big Data

MARCH 4, 2024

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. Lake Formation helps you centrally manage, secure, and globally share data for analytics and machine learning. Iceberg maintains the table state in metadata files.

Snapshot 132

Snapshot Data Lake Metadata Recreation/Entertainment 132

Domino Data Lab

JANUARY 11, 2021

PyCaret is a convenient entree into machine learning and a productivity tool for experienced practitioners. You can list all the datasets available in the repository, and see associated metadata: all_datasets = pycaret.datasets.get_data('index'). Domino Reference Project. Image from github.com/pycaret.

Modeling 145

Modeling Metrics Data Science Testing 145

AWS Big Data

MAY 7, 2024

Figure 1: Flow of actions for self-service analytics around data assets stored in relational databases First, the data producer needs to capture and catalog the technical metadata of the data asset. Second, the data producer needs to consolidate the data asset’s metadata in the business catalog and enrich it with business metadata.

Metadata 107

Metadata Data Lake Data Processing Data-driven 107

AWS Big Data

NOVEMBER 15, 2023

For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. Additionally, it incorporates BMW Group’s internal system to integrate essential metadata, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications.

Analytics 111

Analytics Dashboards Metadata Data Warehouse 111

AWS Big Data

APRIL 2, 2024

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

Metadata 111

Metadata Metrics Data-driven Contextual Data 111

Cloudera

MAY 5, 2021

To learn more about what is YuniKorn, please read our previous article: YuniKorn – a universal resources scheduler and Spark on Kubernetes – how YuniKorn helps. In the distributed computing world, this refers to the mechanism to schedule correlated tasks in an All or Nothing manner. What is Gang Scheduling?

Metadata 136

Metadata Machine Learning Big Data IT 136

AWS Big Data

JUNE 18, 2024

To enable multimodal search across text, images, and combinations of the two, you generate embeddings for both text-based image metadata and the image itself. In addition, OpenSearch Service supports neural search , which provides out-of-the-box machine learning (ML) connectors. OpenSearch version is 2.13

Dashboards 119

Dashboards Metadata Modeling Visualization 119

AWS Big Data

OCTOBER 2, 2023

For a deeper exploration on configuring and using streaming ingestion in Amazon Redshift , refer to Real-time analytics with Amazon Redshift streaming ingestion. For more information on using the SUPER data type, refer to Ingesting and querying semistructured data in Amazon Redshift.

Cost-Benefit 115

Cost-Benefit Metadata Structured Data Data-driven 115

AWS Big Data

DECEMBER 18, 2023

Customers use Amazon Redshift as a key component of their data architecture to drive use cases from typical dashboarding to self-service analytics, real-time analytics, machine learning (ML), data sharing and monetization, and more. In this session, learn about Redshift Serverless new AI-driven scaling and optimization functionality.

Data Warehouse 111

Data Warehouse Machine Learning Data-driven Data Lake 111

AWS Big Data

JULY 27, 2023

As shown in the following reference architecture, DynamoDB table data changes are streamed into Amazon Redshift through Kinesis Data Streams and Amazon Redshift streaming ingestion for near-real-time analytics dashboard visualization using Amazon QuickSight. For instructions, refer to Create a sample Amazon Redshift cluster.

Data Warehouse 98

Data Warehouse Analytics Metadata Dashboards 98

AWS Big Data

SEPTEMBER 13, 2023

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ).

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111