Analytics Vidhya

SEPTEMBER 17, 2022

Any type of contextual information, like device context, conversational context, and metadata, […]. However, we can improve the system’s accuracy by leveraging contextual information. The post Underlying Engineering Behind Alexa’s Contextual ASR appeared first on Analytics Vidhya.

Metadata 400

Metadata Statistics Data Science Publishing 400

CIO Business Intelligence

SEPTEMBER 6, 2024

Central to this is metadata management, a critical component for driving future success AI and ML need large amounts of accurate data for companies to get the most out of the technology. Let’s dive into what that looks like, what workarounds some IT teams use today, and why metadata management is the key to success.

Metadata 116

Metadata Enterprise Management Cost-Benefit 116

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Icebergs table format separates data files from metadata files, enabling efficient data modifications without full dataset rewrites.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

AWS Big Data

NOVEMBER 14, 2024

Under the hood, UniForm generates Iceberg metadata files (including metadata and manifest files) that are required for Iceberg clients to access the underlying data files in Delta Lake tables. Both Delta Lake and Iceberg metadata files reference the same data files. The table is registered in AWS Glue Data Catalog.

Metadata 122

Metadata Data Warehouse Big Data Data Lake 122

AWS Big Data

JULY 29, 2024

In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient. You will learn about an open-source solution that can collect important metrics from the Iceberg metadata layer. This ensures that each change is tracked and reversible, enhancing data governance and auditability.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

AWS Big Data

NOVEMBER 26, 2024

Central to a transactional data lake are open table formats (OTFs) such as Apache Hudi , Apache Iceberg , and Delta Lake , which act as a metadata layer over columnar formats. XTable isn’t a new table format but provides abstractions and tools to translate the metadata associated with existing formats.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

David Menninger's Analyst Perspectives

SEPTEMBER 28, 2021

Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets.

Data Governance 349

Data Governance Metadata Software Management 349

O'Reilly on Data

FEBRUARY 11, 2020

These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. They don’t have the resources they need to clean up data quality problems.

Data Quality 342

Data Quality Metadata Data Governance Publishing 342

AWS Big Data

NOVEMBER 22, 2024

How RFS works OpenSearch and Elasticsearch snapshots are a directory tree that contains both data and metadata. Metadata files exist in the snapshot to provide details about the snapshot as a whole, the source cluster’s global metadata and settings, each index in the snapshot, and each shard in the snapshot.

Snapshot 98

Snapshot Metadata Recreation/Entertainment Data Processing 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

CIO Business Intelligence

FEBRUARY 27, 2025

According to a study from Rocket Software and Foundry , 76% of IT decision-makers say challenges around accessing mainframe data and contextual metadata are a barrier to mainframe data usage, while 64% view integrating mainframe data with cloud data sources as the primary challenge.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

DataKitchen

FEBRUARY 20, 2025

Better Metadata Management Add Descriptions and Data Product tags to tables and columns in the Data Catalog for improved governance. Smarter Profiling & Test Generation Improved logic reduces false positives , making test results more accurate and actionable. DataOps just got more intelligent.

Data Quality 187

Data Quality Scorecard Testing Dashboards 187

AWS Big Data

NOVEMBER 7, 2024

Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform integrates with Amazon Redshift metadata security to implement visibility of data catalog listing of names of databases, schemas, tables, views, stored procedures, and functions in Amazon Redshift. This post discusses restricting listing of data catalog metadata as per the granted permissions.

Metadata 111

Metadata Data Warehouse Analytics Data Analytics 111

CIO Business Intelligence

DECEMBER 11, 2024

One field that is gaining attention is data intelligence, which uses metadata to provide visibility and a deeper and broader understanding of data quality, context, usage, and impact.

Risk 111

Risk Data Strategy Strategy Data Governance 111

AWS Big Data

NOVEMBER 11, 2024

For example, you can use metadata about the Kinesis data stream name to index by data stream ( ${getMetadata("kinesis_stream_name") ), or you can use document fields to index data depending on the CloudWatch log group or other document data ( ${path/to/field/in/document} ).

Metadata 122

Metadata Metrics Analytics Data Processing 122

AWS Big Data

JANUARY 15, 2025

From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. The data in the central data warehouse in Amazon Redshift is then processed for analytical needs and the metadata is shared to the consumers through Amazon DataZone. This process is shown in the following figure.

IoT 111

IoT Machine Learning Metadata Data-driven 111

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. If you don’t already have an AWS account, you can create one.

Management 98

Management Metadata Manufacturing Testing 98

AWS Big Data

DECEMBER 4, 2024

An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction. Over time, this creates multiple data files and metadata files as changes accumulate. Additionally, they can impact query performance due to the overhead of handling large amounts of metadata.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

Rocket-Powered Data Science

JULY 6, 2021

This is accomplished through tags, annotations, and metadata (TAM). Smart content includes labeled (tagged, annotated) metadata (TAM). The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context. Collect, curate, and catalog (i.e.,

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

Data Lake 108

Data Lake Sales Metadata Machine Learning 108

AWS Big Data

NOVEMBER 19, 2024

Pricing and availability Amazon MWAA pricing dimensions remains unchanged, and you only pay for what you use: The environment class Metadata database storage consumed Metadata database storage pricing remains the same. The number of concurrent Airflow tasks in the worker ( worker_autoscale ) can be set to a maximum value of 3.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

O'Reilly on Data

MARCH 22, 2019

While neither of these is a complete solution, I can imagine a future version of these proposals that standardizes metadata so data routing protocols can determine which flows are appropriate and which aren't. That's work that hasn't been started, but it's work that needed. It's possible to abuse or to game any solution.

Metadata 271

Metadata Advertising Insurance Modeling 271

Rocket-Powered Data Science

MARCH 10, 2020

The training data and feature sets that feed machine learning algorithms can now be immensely enriched with tags, labels, annotations, and metadata that were inferred and/or provided naturally through the transformation of your repository of data into a graph of data.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

AWS Big Data

NOVEMBER 6, 2024

reduces the Amazon DynamoDB cost associated with KCL by optimizing read operations on the DynamoDB table storing metadata. KCL uses DynamoDB to store metadata such as shard-worker mapping and checkpoints. Other benefits in KCL 3.0 In addition to the stream processing cost savings, KCL 3.0 Key checklists when you choose to use KCL 3.0

Cost-Benefit 116

Cost-Benefit Metadata Optimization Publishing 116

CIO Business Intelligence

NOVEMBER 19, 2024

For AI to be effective, the relevant data must be easily discoverable and accessible, which requires powerful metadata management and data exploration tools. An enhanced metadata management engine helps customers understand all the data assets in their organization so that they can simplify model training and fine tuning.

Management 116

Management Unstructured Data Deep Learning Metadata 116

AWS Big Data

OCTOBER 25, 2023

Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

FEBRUARY 26, 2025

S3 Tables integration with the AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize dataincluding Amazon S3 Metadata tablesusing AWS analytics services such as Amazon Data Firehose , Amazon Athena , Amazon Redshift, Amazon EMR, and Amazon QuickSight. connection testing, metadata retrieval, and data preview.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

AWS Big Data

DECEMBER 17, 2024

We have enhanced data sharing performance with improved metadata handling, resulting in data sharing first query execution that is up to four times faster when the data sharing producers data is being updated. We enhanced support for querying Apache Iceberg data and improved the performance of querying Iceberg up to threefold year-over-year.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

AWS Big Data

MAY 29, 2024

Since its inception, Apache Kafka has depended on Apache Zookeeper for storing and replicating the metadata of Kafka brokers and topics. the Kafka community has adopted KRaft (Apache Kafka on Raft), a consensus protocol, to replace Kafka’s dependency on ZooKeeper for metadata management. For Metadata mode , select KRaft.

Metadata 113

Metadata Cost-Benefit Management Big Data 113

O'Reilly on Data

JUNE 14, 2024

At the same time, Miso went about an in-depth chunking and metadata-mapping of every book in the O’Reilly catalog to generate enriched vector snippet embeddings of each work.

Metadata 249

Metadata Publishing Modeling Data-driven 249

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.”

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

AWS Big Data

SEPTEMBER 12, 2024

Along with the Glue Data Catalog’s automated compaction feature, these storage optimizations can help you reduce metadata overhead, control storage costs, and improve query performance. The Glue Data Catalog monitors tables daily, removes snapshots from table metadata, and removes the data files and orphan files that are no longer needed.

Optimization 129

Optimization Snapshot Metadata Metrics 129

AWS Big Data

JUNE 17, 2024

Backup and restore architecture The backup and restore strategy involves periodically backing up Amazon MWAA metadata to Amazon Simple Storage Service (Amazon S3) buckets in the primary Region. The pipeline includes a DAG deployed to the DAGs S3 bucket, which performs backup of your Airflow metadata. The steps are as follows: [1.a]

Strategy 111

Strategy Metadata Recreation/Entertainment Metrics 111

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 137

Data Lake Data Processing Metadata Snapshot 137