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 111

Metadata Data Warehouse Big Data Data Lake 111

Ontotext

JUNE 10, 2021

Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. To be able to automate these operations and maintain sufficient data quality, enterprises have started implementing the so-called data fabrics , that employ diverse metadata sourced from different systems. Metadata about Relationships Come in Handy.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

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 183

Data Quality Scorecard Testing Dashboards 183

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 82

Snapshot Metadata Recreation/Entertainment Data Processing 82

Rocket-Powered Data Science

JULY 6, 2021

If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. This is accomplished through tags, annotations, and metadata (TAM). Smart content includes labeled (tagged, annotated) metadata (TAM). What you have just experienced is a plethora of heteronyms.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

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

Cloudera

AUGUST 6, 2024

And for that future to be a reality, data teams must shift their attention to metadata, the new turf war for data. The need for unified metadata While open and distributed architectures offer many benefits, they come with their own set of challenges. Data teams actually need to unify the metadata. Open data is the future.

Metadata 82

Metadata Cost-Benefit Management Enterprise 82

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 76

Metadata Data Governance Metrics Marketing 76

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

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. Launch summary Following is the launch summary which provides the announcement links and reference blogs for the key announcements.

Data Lake 82

Data Lake Data Warehouse Data-driven Optimization 82

Cloudera

JANUARY 26, 2024

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. First, a set of initial metadata objects are created by the data steward.

Metadata 73

Metadata Data Governance Management Finance 73

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 89

Data Lake Sales Metadata Machine Learning 89

Cloudera

DECEMBER 6, 2024

And specifically, I was reading one of your blog posts recently that talked about the dark ages of data. It could be metadata that you weren’t capturing before. The post The Struggle Between Data Dark Ages and LLM Accuracy appeared first on Cloudera Blog. Here are some key takeaways from Ray in that conversation.

Manufacturing 82

Manufacturing Forecasting Metadata Data Processing 82

TDAN

MAY 31, 2022

The main goal of creating an enterprise data fabric is not new. It is the ability to deliver the right data at the right time, in the right shape, and to the right data consumer, irrespective of how and where it is stored. Data fabric is the common “net” that stitches integrated data from multiple data […].

Metadata 98

Metadata Enterprise IT Data Architecture 98

AWS Big Data

NOVEMBER 19, 2024

Run the following commands: export PROJ_NAME=lfappblog aws s3 cp s3://aws-blogs-artifacts-public/BDB-3934/schema.graphql ~/${PROJ_NAME}/amplify/backend/api/${PROJ_NAME}/schema.graphql In the s chema.graphql file, you can see that the lf-app-lambda-engine function is set as the data source for the GraphQL queries.

Data Processing 81

Data Processing Metadata Publishing Testing 81

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

erwin

OCTOBER 8, 2020

With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis. The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets. Subscribe to the erwin Expert Blog.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

DataKitchen

AUGUST 9, 2021

The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., …. At this point in our blog series, we have talked about data mesh from an organizational and technical perspective.

Testing 246

Testing Data Lake Metadata Publishing 246

DataKitchen

AUGUST 3, 2021

Discoverable – users have access to a catalog or metadata management tool which renders the domain discoverable and accessible. We’ll cover some of the potential challenges facing data mesh enterprise architectures in our next blog. Also, the domain must support the attributes that are part of every modern data architecture.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

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 128

Data Lake Data Processing Metadata Snapshot 128

Rocket-Powered Data Science

FEBRUARY 15, 2023

These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. The latter is essential for Generative AI implementations.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Timo Elliott

JANUARY 6, 2022

In a previous blog , I explored the value of dark data and how it can reveal insights that can streamline processes, improve customer experiences, generate more revenue – and maybe even help make the world a better place. Analyze your metadata. The data you’ve collected and saved over the years isn’t free. Use people.

IT 135

IT Metadata Data-driven Data Governance 135

erwin

JANUARY 9, 2020

That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts. erwin DM 2020 is an essential source of metadata and a critical enabler of data governance and intelligence efforts. erwin Data Modeler: Where the Magic Happens.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

OCTOBER 21, 2024

Business analysts enhance the data with business metadata/glossaries and publish the same as data assets or data products. Users can search for assets in the Amazon DataZone catalog, view the metadata assigned to them, and access the assets. Amazon Athena is used to query, and explore the data.

Sales 105

Sales Data-driven Data Processing Key Performance Indicator 105

AWS Big Data

OCTOBER 3, 2023

This means the data files in the data lake aren’t modified during the migration and all Apache Iceberg metadata files (manifests, manifest files, and table metadata files) are generated outside the purview of the data. In this method, the metadata are recreated in an isolated environment and colocated with the existing data files.

Data Lake 116

Data Lake Metadata Snapshot Recreation/Entertainment 116

erwin

DECEMBER 9, 2024

Metadata is the basis of trust for data forensics as we answer the questions of fact or fiction when it comes to the data we see. Being that AI is comprised of more data than code, it is now more essential than ever to combine data with metadata in near real-time.

Metadata 52

Metadata Data Quality Sales Modeling 52

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. Metadata Caching. As Impala’s adoption grew the catalog service started to experience these growing pains, therefore recently we introduced two new features to alleviate the stress, On-demand Metadata and Zero Touch Metadata. More on this below.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

AWS Big Data

DECEMBER 19, 2024

After you create the asset, you can add glossaries or metadata forms, but its not necessary for this post. Create it as a JSON file on your workstation (for this post, we call it blog-sub-target.json ). Enter a name for the asset. For Asset type , choose S3 object collection. For S3 location ARN , enter the ARN of the S3 prefix.

Publishing 78

Publishing Unstructured Data Metadata Data-driven 78

AWS Big Data

DECEMBER 4, 2024

This blog post will explore how zero-ETL capabilities combined with its new application connectors are transforming the way businesses integrate and analyze their data from popular platforms such as ServiceNow, Salesforce, Zendesk, SAP and others. The data is also registered in the Glue Data Catalog , a metadata repository.

Data Integration 98

Data Integration Data Lake Statistics Data-driven 98

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Data and Metadata: Data inputs and data outputs produced based on the application logic. Introduction.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Ontotext

JANUARY 10, 2025

This blog post summarizes our findings, focusing on NER as a first-step key task for knowledge extraction. You can use the Ontotext Metadata Studio (OMDS) to integrate any NER model and apply it to your documents to extract the entities you are interested in.

Informatics 59

Informatics Modeling Metadata Experimentation 59

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue. Each change to a table produces a new metadata file to provide atomicity.

Data Lake 122

Data Lake Metadata Snapshot Analytics 122

DataKitchen

FEBRUARY 2, 2023

Most data governance tools today start with the slow, waterfall building of metadata with data stewards and then hope to use that metadata to drive code that runs in production. In reality, the ‘active metadata’ is just a written specification for a data developer to write their code.

Metadata 130

Metadata Testing Data Science Risk 130

Cloudera

AUGUST 26, 2021

In this blog post, we will ingest a real world dataset into Ozone, create a Hive table on top of it and analyze the data to study the correlation between new vaccinations and new cases per country using a Spark ML Jupyter notebook in CML. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 113

Data Science Forecasting Metadata Machine Learning 113

Cloudera

FEBRUARY 22, 2022

Companies such as Adobe , Expedia , LinkedIn , Tencent , and Netflix have published blogs about their Apache Iceberg adoption for processing their large scale analytics datasets. . In CDP we enable Iceberg tables side-by-side with the Hive table types, both of which are part of our SDX metadata and security framework.

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

erwin

SEPTEMBER 10, 2020

In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time. Data lineage helps answer questions about the origin of data in key performance indicator (KPI) reports, including: How are the report tables and columns defined in the metadata?

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

erwin

JANUARY 30, 2020

However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant. And close to 50 percent have deployed data catalogs and business glossaries. Most have only data governance operations.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145