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

Cloudera

JULY 15, 2021

All three will be quorums of Zookeepers and HDFS Journal nodes to track changes to HDFS Metadata stored on the Namenodes. In summary we have provided a reference for the tuning and configuration of the host resources in order to maximise the performance and security of your cluster. Networking .

Data Processing 106

Data Processing Metadata Testing Management 106

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 120

Data Governance Metadata Unstructured Data Structured Data 120

Octopai

FEBRUARY 12, 2020

Like any good puzzle, metadata management comes with a lot of complex variables. That’s why you need to use data dictionary tools, which can help organize your metadata into an archive that can be navigated with ease and from which you can derive good information to power informed decision-making. Download Now.

Metadata 72

Metadata Enterprise Management Data Warehouse 72

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 113

Optimization Snapshot Metadata Metrics 113

Alation

FEBRUARY 20, 2020

Gartner predicts that “By 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.”. Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Metadata management no longer refers to a static technical repository.

Metadata 52

Metadata Management Data-driven Data Governance 52

Alation

AUGUST 18, 2022

Active metadata will play a critical role in automating such updates as they arise. If a language can include metadata in the form of comments (and they all can) then markup can be inserted. And you now have a frame of reference you can use to track its evolution. Why Focus on Lineage? Support for all technologies.

Metadata 69

Metadata Visualization Statistics Data Architecture 69

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. Refer to the detailed deployment steps in the README file to deploy it in your own accounts. The steps are as follows: [1.a]

Strategy 101

Strategy Metadata Recreation/Entertainment Metrics 101

AWS Big Data

OCTOBER 2, 2024

Governed Tables metadata will continue to exist within the AWS Glue Data Catalog, and the Governed Tables data will remain in your S3 buckets. In this case, refer to Use CTAS and INSERT INTO to work around the 100 partition limit. After February 17, 2025, all Governed Table APIs will start to fail.

Snapshot 119

Snapshot Metadata Big Data Analytics 119

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 94

Visualization Metadata Testing Internet of Things 94

TDAN

DECEMBER 31, 2019

In a 1971 book titled, “Silent Messages,” by Albert Mehrabian, the combination of non-verbal and spoken words is referred to as the 7%-38%-55% rule (source). The words you speak are a small fraction of communication. Think of it this way. When you […].

Metadata 59

Metadata IT Data Governance Business Intelligence 59

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. If the original Answers release was a LLM-driven retrieval engine, today’s new version of Answers is an LLM-driven research engine (in the truest sense).

Metadata 202

Metadata Publishing Modeling Data-driven 202

AWS Big Data

MARCH 22, 2024

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. When statistics aren’t available, Amazon EMR and Athena use S3 file metadata to optimize query plans. With Amazon EMR 6.10.0

Metadata 102

Metadata Statistics Broadcasting Optimization 102

AWS Big Data

JANUARY 24, 2024

Each storage format implements this functionality in slightly different ways; for a comparison, refer to Choosing an open table format for your transactional data lake on AWS. For more information, refer to Amazon S3: Allows read and write access to objects in an S3 Bucket.

Snapshot 112

Snapshot Data Lake Metadata Optimization 112

AWS Big Data

FEBRUARY 29, 2024

For users to be able to discover and comprehend the data, the first step is to build a comprehensive catalog using the metadata that is generated and captured in the source systems. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

Data Governance 107

Data Governance Unstructured Data Metadata Data Lake 107

CIO Business Intelligence

APRIL 25, 2024

The zero-copy pattern helps customers map the data from external platforms into the Salesforce metadata model, providing a virtual object definition for that object. “It When released, this will extend zero-copy data access to any open data lake or lakehouse that stores data in Iceberg or can provide Iceberg metadata for its table.

Data Integration 115

Data Integration Data Lake Data Warehouse Metadata 115

Ontotext

JUNE 27, 2019

GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. Choose The Best RDF Database for Metadata Management. Prerequisites.

Metadata 40

Metadata Management Enterprise Publishing 40

AWS Big Data

OCTOBER 3, 2023

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations.

Optimization 120

Optimization Snapshot Data Lake Metadata 120

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 108

Metadata Metrics Testing Management 108

Ontotext

JUNE 27, 2019

For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. In this experiment, we will show high-scalability when the articles/creative works are stored in MongoDB and all reference/true graph data in GraphDB.

Metadata 40

Metadata Management Optimization Enterprise 40

AWS Big Data

MARCH 4, 2024

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. With Lake Formation, you can manage fine-grained access control for your data lake data on Amazon S3 and its metadata in the Data Catalog. Iceberg maintains the table state in metadata files.

Snapshot 122

Snapshot Data Lake Metadata Recreation/Entertainment 122

erwin

MARCH 30, 2020

Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Essentially, metadata management is the administration of data that describes other data, with an emphasis on associations and lineage. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

erwin

MAY 31, 2019

The typical notion is that enterprise architects and data (and metadata) architects are in opposite corners. At Avydium , we believe there’s an important middle ground where different architecture disciplines coexist, including enterprise, solution, application, data, metadata and technical architectures. Where do these layers connect?

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

AWS Big Data

OCTOBER 1, 2024

You can see that performance improves a lot when statistics exist on AWS Glue Data Catalog (for details on how to get statistics for your Data Lake tables, please refer to optimizing query performance using AWS Glue Data Catalog column statistics ). This can have a significant impact on overall query performance.

Data Lake 103

Data Lake Statistics Broadcasting Optimization 103

AWS Big Data

JUNE 2, 2023

We use AWS Glue , a fully managed, serverless, ETL (extract, transform, and load) service, and the Google BigQuery Connector for AWS Glue (for more information, refer to Migrating data from Google BigQuery to Amazon S3 using AWS Glue custom connectors ). If you don’t have one, refer to Amazon Redshift Serverless. An S3 bucket.

Metadata 120

Metadata Data Warehouse Big Data Testing 120

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

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 104

Data Lake Snapshot Metadata Data Architecture 104

Octopai

JUNE 19, 2023

In an era where data is often referred to as the new oil, having a well-organized and easily accessible data catalog is no longer a luxury but a necessity as organizations deal with the deluge of too much data (data bloatedness) coming from every system and landscape. Such standards may stipulate uniform headers, mandatory descriptions, etc.,

Metadata 98

Metadata Data Governance Measurement Risk Management 98

AWS Big Data

APRIL 19, 2023

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats. sql_path SQL file name.

Metadata 87

Metadata Testing Data Lake Consulting 87

Ontotext

APRIL 10, 2024

In most enterprises data teams lack a data map and data asset inventory and are often unaware of data that exists across the organization, its associated profile, quality and associated metadata. Proliferation of data catalogs across vendors creates metadata silos and does little to connect the data semantically.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

AWS Big Data

APRIL 25, 2024

Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows. For detailed steps to create an Amazon MWAA environment using the Amazon MWAA console, refer to Introducing Amazon Managed Workflows for Apache Airflow (MWAA). Add the constraints-3.11-updated.txt

Metadata 114

Metadata Data Processing Management Testing 114

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

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 90

Data Warehouse Analytics Metadata Dashboards 90

Ontotext

AUGUST 22, 2023

Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data. Enter the Semantic Edge Era: How to Derive Value from Semantic Metadata The problem with Big Data is not the data itself.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

CIO Business Intelligence

OCTOBER 13, 2023

Data architect responsibilities According to Panoply , typical data architect responsibilities include: Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses Defining the data architecture framework, standards, and principles, including modeling, metadata, (..)

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

DataKitchen

OCTOBER 20, 2023

’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event. Payload DJs facilitate capturing metadata, lineage, and test results at each phase, enhancing tracking efficiency and reducing the risk of data loss.

Insurance 173

Insurance Metadata Data-driven Data Quality 173