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 110

Optimization Snapshot Data Lake Metadata 110

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

OCTOBER 11, 2023

Last but not least, Luna’s talk was packed with research references to inspire the implementation of future crazy ideas. In addition, he also mentioned the lack of standardized measurements for understanding the impact and the potential harm AI-powered projects have and the risks they bring. Can AI Become Responsible? A demonstrator.

Metadata 69

Metadata Cost-Benefit Marketing Modeling 69

AWS Big Data

APRIL 3, 2024

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes.

Data Quality 89

Data Quality Visualization Metadata Metrics 89

Alation

JANUARY 9, 2023

DCAM is a comprehensive data management framework to measure capabilities, and then identify and prioritise gaps, with a focus on auditability. That defining data is called metadata , which is data that describes data. The capture, organisation, and sharing of metadata calls for a data catalog. From DCAM To Data Catalog.

Risk Management 52

Risk Management Risk Management Metadata 52

AWS Big Data

JUNE 5, 2024

The direct query connection relies on the metadata in Glue Data Catalog tables to query data stored in Amazon S3. Below are a few examples of how you can accelerate your data: Skipping indexes – You ingest and index only the metadata of the data stored in Amazon S3. Checkpoints store metadata for the direct query feature.

Data Lake 78

Data Lake Cost-Benefit Dashboards Visualization 78

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. To learn more, refer to Byte-quantized vectors in OpenSearch. The following screenshot shows an example of using the Compare Search Results tool.

Visualization 93

Visualization Cost-Benefit Modeling Machine Learning 93

Ontotext

MAY 26, 2021

Without all this background knowledge, before computers can perform like humans, they need a machine-readable point of reference that represents “the ground truth”. Simply put, we need to be able to measure and evaluate our results against clearly set criteria. And this is where the Gold Standard comes in.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

AWS Big Data

JULY 14, 2023

To collect that information, Bob gets in touch with the head of each department, who in turn refer him to their development leads, who in turn give him a bunch of technical documents that explain how APIs are being used. Monitor and measure – Monitor the usage and performance of the APIs to measure their impact on the business capabilities.

Modeling 71

Modeling Visualization Reporting Measurement 71

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 363

Marketing Experimentation Metrics Testing 363

Ontotext

MARCH 29, 2021

Vassil Momtchev: RDF-star (formerly known as RDF*) helps in every case, where the user needs to express a complex relationship with metadata associated for a triple like: 1. << Technically speaking, RDF-star is the syntactic sugar, which makes it easier to attach metadata to edges in the graph. source :TheNationalEnquirer ; 3.

Metadata 59

Metadata IT Modeling Experimentation 59

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Such datasets are measured by how many “tokens” (words or word parts) they include.

Risk 71

Risk Modeling Management Metadata 71

Cloudera

OCTOBER 15, 2021

With FSO, Apache Ozone guarantees atomic directory operations, and renaming or deleting a directory is a simple metadata operation even if the directory has a large set of sub-paths (directories/files) within it. Please refer to Apache Ozone documentation for more details regarding Apache Ozone’s atomicity guarantees. Further Reading.

Testing 87

Testing Measurement Optimization Metadata 87

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

AWS Big Data

JANUARY 8, 2024

Refer to Amazon Kinesis Data Streams integrations for additional details. Real-time analytics architecture for time series Time series data is a sequence of data points recorded over a time interval for measuring events that change over time. Examples are stock prices over time, webpage clickstreams, and device logs over time.

Analytics 113

Analytics IoT Data-driven Snapshot 113

IBM Big Data Hub

APRIL 13, 2023

Here are some of the key tables: FLIGHT_DECTREE_MODEL: this table contains metadata about the model. Examples of metadata include depth of the tree, strategy for handling missing values, and the number of leaf nodes in the tree. Included references to IBM Db2’s documentation for the ML stored procedures I used in this tutorial.

Modeling 82

Modeling Statistics Machine Learning Testing 82

O'Reilly on Data

MARCH 31, 2020

There may even be someone on your team who built a personalized video recommender before and can help scope and estimate the project requirements using that past experience as a point of reference. You might have millions of short videos , with user ratings and limited metadata about the creators or content.

Management 339

Management Machine Learning Experimentation Metrics 339

Octopai

AUGUST 30, 2020

Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. Collapse irrelevant results allowing users to focus on the task at hand. Column-to-column lineage.

OLAP 58

OLAP Metadata Visualization Data Processing 58

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

AWS Big Data

MAY 16, 2024

With the new REST API, you can now invoke DAG runs, manage datasets, or get the status of Airflow’s metadata database, trigger, and scheduler—all without relying on the Airflow web UI or CLI. Refer to Creating an Apache Airflow web login token for more details. Args: web_server_host_name (str): The hostname of the MWAA web server.

Testing 90

Testing Interactive Metrics Management 90

AWS Big Data

NOVEMBER 16, 2023

Data Vault overview For a brief review of the core Data Vault premise and concepts, refer to the first post in this series. For more information, refer to Amazon Redshift database encryption. Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs. model in Amazon Redshift.

Enterprise 85

Enterprise Data Warehouse Snapshot Cost-Benefit 85

AWS Big Data

OCTOBER 11, 2023

The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. For the template and setup information, refer to Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator. We use two datasets in this post.

Management 105

Management Metadata Analytics Dashboards 105

Alation

JANUARY 26, 2023

Do they have a system to manage the metadata for given assets? This trend isn’t likely to reduce, so having the appropriate measures in place is essential. The following measures are a must for any business seeking to secure its data: Choose the right system To ensure security, you need a framework that adapts with the times.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Ontotext

FEBRUARY 16, 2023

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”. This measures the consistency of annotations when more than one person is involved in the process.

Metadata 59

Metadata Measurement Metrics Modeling 59

AWS Big Data

NOVEMBER 3, 2023

Although we don’t cover optimizing your jobs for costs in this post, you can refer to Monitor and optimize cost on AWS Glue for Apache Spark to learn how to fine-tune your AWS Glue jobs for performance, efficiency ,and cost-optimization. Refer to Managing user access inside Amazon QuickSight to find your existing QuickSight users.

Metrics 88

Metrics Dashboards Metadata Visualization 88

AWS Big Data

JULY 28, 2023

Data management and governance Addressing the challenges mentioned requires a combination of technical, operational, and legal measures. Tags provide metadata about resources at a glance. For more information about tagging, refer to Tagging resources in Amazon Redshift. You can use AWS Backup to take automatic or manual backups.

Snapshot 84

Snapshot Metadata Measurement Data Warehouse 84

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. Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Occam's Razor

APRIL 8, 2013

First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Measure and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

AWS Big Data

JANUARY 16, 2024

Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment. The third component is for creating and storing backups of all configurations and metadata that is required to restore.

Strategy 101

Strategy Metadata Metrics Dashboards 101

Ontotext

JANUARY 10, 2024

Any type of metadata or universal data model is likely to slow down development and increase costs, which will affect the time to market and profit. In both cases, semantic metadata is the glue that turns knowledge graphs into hubs of data, metadata, and content. The diagram below illustrates this in a simplified form.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

MAY 28, 2024

Integration with the AWS Glue Data Catalog as a metadata store for Flink applications The AWS Glue Data Catalog is a centralized metadata repository for data assets across various data sources, and provides a unified interface to store and query information about data formats, schemas, and sources.

Data Processing 93

Data Processing Cost-Benefit Metadata Optimization 93

AWS Big Data

JANUARY 10, 2024

OpenSearch Service utilizes an internal node-to-node communication protocol for replicating write traffic and coordinating metadata updates through an elected leader. Importantly, metadata related to the affected zone is replicated across all nodes to ensure its persistence, even during a full restart in the event of an outage.

Metadata 96

Metadata Broadcasting Data Processing Modeling 96

Ontotext

FEBRUARY 7, 2024

So, on one hand, we can see our schema as a vocabulary that has different names and different standards, and, on the other, we can see it as a metadata object. In this way, the elements of the schema form a data dictionary or metadata dictionary, which we can then put in a metadata registry.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Data quality uses those criteria to measure the level of data integrity and, in turn, its reliability and applicability for its intended use. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. ” For example, these tools may offer metadata-based notifications. What is Data in Place? There are big problems in not checking data in place and in use.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. Cisco has multiple reference architectures for running Ozone. The tool reads only the metadata for objects in a cluster with around 100 million keys. The Ozone Manager is a critical component of Ozone.

Management 70

Management Metadata Metrics Optimization 70

DataKitchen

OCTOBER 11, 2021

Finally, when your implementation is complete, you can track and measure your process. These tests rely upon historical values as a reference to determine whether data values are reasonable (or within the range of reasonable). . Monitoring Job Metadata. DataOps Project Design and Implementation.

Testing 152

Testing Metadata Dashboards Statistics 152