Ontotext

JUNE 10, 2021

Relational databases benefit from decades of tweaks and optimizations to deliver performance. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. This metadata should then be represented, along with its intricate relationships, in a connected knowledge graph model that can be understood by the business teams”.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

AWS Big Data

NOVEMBER 19, 2024

This offering is designed to provide an even more cost-effective solution for running Airflow environments in the cloud. micro characteristics, key benefits, ideal use cases, and how you can set up an Amazon MWAA environment based on this new environment class. micro reflect a balance between functionality and cost-effectiveness.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

AWS Big Data

JANUARY 15, 2025

From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. By centralizing container and logistics application data through Amazon Redshift and establishing a governance framework with Amazon DataZone, EUROGATE achieved both performance optimization and cost efficiency.

IoT 110

IoT Machine Learning Metadata Data-driven 110

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry. Metadata-Driven Automation in the Insurance Industry.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

erwin

NOVEMBER 6, 2019

With automation, data professionals can meet the above needs at a fraction of the cost of the traditional, manual way. To summarize, just some of the benefits of data automation are: • Centralized and standardized code management with all automation templates stored in a governed repository. Better quality code and minimized rework.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

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

DataKitchen

AUGUST 3, 2021

This post (1 of 5) is the beginning of a series that explores the benefits and challenges of implementing a data mesh and reviews lessons learned from a pharmaceutical industry data mesh example. Benefits of a Domain. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. .

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

datapine

SEPTEMBER 29, 2022

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. Let’s examine the benefits of high-quality data in marketing. 1 – The people.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

JANUARY 9, 2020

It is a tried-and-true practice for lowering data management costs, reducing data-related risks, and improving the quality and agility of an organization’s overall data capability. 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.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

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. Top Five: Benefits of An Automation Framework for Data Governance. The Benefits of Data Governance Automation.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

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. This concept makes Iceberg extremely versatile.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? That is: (1) What is it you want to do and where does it fit within the context of your organization? (2) 2) Why should your organization be doing it and why should your people commit to it? (3)

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Ontotext

AUGUST 19, 2020

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

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. Starting from Apache Kafka version 3.3,

Metadata 109

Metadata Cost-Benefit Management Big Data 109

AWS Big Data

APRIL 17, 2024

In order to provide these benefits, OpenSearch is designed as a high-scale distributed system with multiple independent instances indexing data and processing requests. Other customers require high durability and as a result need to maintain multiple replica copies, resulting in higher operating costs for them.

Optimization 128

Optimization Snapshot Metadata Cost-Benefit 128

erwin

SEPTEMBER 17, 2020

It’s paramount that organizations understand the benefits of automating end-to-end data lineage. Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. A recent study has shown that it costs U.S. Data quality is crucial to every organization. defense budget.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Smart Data Collective

AUGUST 5, 2021

Along with the ability to implement ACID transactions and scalable metadata handling, Delta Lakes can also unify the streaming and batch data processing”. . The schema of the metadata is as follows: Column Type Description format string Format of the table, that is, “delta”. Advantages of using Delta Lakes.

Data Processing 143

Data Processing Metadata Broadcasting Statistics 143

Cloudera

JULY 10, 2024

There’s nothing worse than wasting money on unnecessary costs. In on-premises data estates, these costs appear as wasted person-hours waiting for inefficient analytics to complete, or troubleshooting jobs that have failed to execute as expected, or at all.

Cost-Benefit 99

Cost-Benefit Metadata Optimization Measurement 99

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

erwin

FEBRUARY 6, 2020

Business users benefit from automating impact analysis to better examine value and prioritize individual data sets. 5) Catalog Data: Catalog data using a solution with a broad set of metadata connectors so all data sources can be leveraged. The Benefits of Data Management Automation.

Management 144

Management Data Governance Cost-Benefit Metadata 144

AWS Big Data

MAY 28, 2024

With the addition of Flink support in EMR on EKS, you can now run your Flink applications on Amazon EKS using the EMR runtime and benefit from both services to deploy, scale, and operate Flink applications more efficiently and securely. Amazon EMR on EKS natively integrates tools and functionalities to enable these—and more.

Data Processing 118

Data Processing Cost-Benefit Metadata Optimization 118

Smart Data Collective

APRIL 5, 2022

There are a lot of powerful benefits of offering an incentive-based approach as hardware accelerators. Among other benefits, this helps make sure global computing resources are used as efficiently as possible and allows data science companies to take advantage of these resources at a reduced cost. IBM Watson Studio. Neptune.AI

Machine Learning 145

Machine Learning Cost-Benefit Data Science Unstructured Data 145

Smart Data Collective

OCTOBER 13, 2021

Data virtualization is becoming more popular due to its huge benefits. What benefits does it bring to businesses? Physically moving and storing the same data in different repositories multiplies costs and slows down processes when IT changes need to be made. What is the cost and ROI of Data Virtualization?

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

erwin

AUGUST 28, 2020

What Are the Key Benefits of Data Governance? Effectively communicating the benefits of well governed data to employees – like improving the discoverability of data – is just as important as any policy or technology. What Are the Key Benefits of Data Governance? Why Is Data Governance Important?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

Octopai

SEPTEMBER 22, 2019

Insurance Metadata Management. The keys to proper insurance data managemen t are data governance and metadata management. Data Governance and Metadata Management for the Insurance Industry. Both of these two keys deal with metadata. None of this is possible without robust metadata management.

Metadata 53

Metadata Insurance Management Data Governance 53

Cloudera

NOVEMBER 13, 2020

Impala’s planner does not do exhaustive cost-based optimization. Instead, it makes cost-based decisions with more limited scope (for example when comparing join strategies) and applies rule-based and heuristic optimizations for common query patterns. Metadata Caching. More on this below. Execution Engine.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

CIO Business Intelligence

MARCH 24, 2023

Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance. 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

Cloudera

FEBRUARY 22, 2022

Along with CDP’s enterprise features such as Shared Data Experience ( SDX ), unified management and deployment across hybrid cloud and multi-cloud, customers can benefit from Cloudera’s contribution to Apache Iceberg, the next generation table format for large scale analytic datasets. . Key Design Goals . Multi-function analytics .

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

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 is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. The snapshot points to the manifest list.

Data Lake 136

Data Lake Data Processing Metadata Snapshot 136

AWS Big Data

OCTOBER 11, 2023

To reap the benefits of cloud computing, like increased agility and just-in-time provisioning of resources, organizations are migrating their legacy analytics applications to AWS. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day.

Management 129

Management Metadata Analytics Dashboards 129

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Expected cost benefits, however, often do not materialize.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

AWS Big Data

DECEMBER 4, 2024

The company is looking for an efficient, scalable, and cost-effective solution to collecting and ingesting data from ServiceNow, ensuring continuous near real-time replication, automated availability of new data attributes, robust monitoring capabilities to track data load statistics, and reliable data lake foundation supporting data versioning.

Data Integration 112

Data Integration Data Lake Statistics Data-driven 112

CIO Business Intelligence

SEPTEMBER 12, 2024

Recent research by Vanson Bourne for Iron Mountain found that 93% of organizations are already using genAI in some capacity, while Gartner research suggests that genAI early adopters are experiencing benefits including increases in revenue (15.8%), cost savings (15.2%) and productivity improvements (22.6%), on average.

ROI 110

ROI Cost-Benefit Unstructured Data Metadata 110

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 121

Data Lake Snapshot Metadata Data Architecture 121

AWS Big Data

OCTOBER 1, 2024

Specifically, multi-join queries will benefit the most from AWS Glue Data Catalog column statistics because the optimizer uses statistics to choose the right join order and distribution strategy. Amazon Redshift cost-based optimizer utilizes these statistics to come up with better quality query plans. ca_street_name b_street_name ,ad1.ca_city

Data Lake 115

Data Lake Statistics Broadcasting Optimization 115

AWS Big Data

DECEMBER 13, 2023

Offering this service reduced BMS’s operational maintenance and cost, and offered flexibility to business users to perform ETL jobs with ease. EDLS job steps and metadata Every EDLS job comprises one or more job steps chained together and run in a predefined order orchestrated by the custom ETL framework.

Metadata 110

Metadata Data Lake Visualization Data Quality 110