Ontotext

JANUARY 25, 2024

In the current data management landscape, enterprises have to deal with diverse and dispersed data at unimaginable volumes. Not surprisingly, the last decade has witnessed a paradigm shift in enterprise data management, leading to a rise in leveraging knowledge graphs. This is a core component of most data fabric based implementations.

Enterprise 64

Enterprise Management Cost-Benefit Metadata 64

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

AWS Big Data

NOVEMBER 16, 2023

This post discusses the most pressing needs when designing an enterprise-grade Data Vault and how those needs are addressed by Amazon Redshift in particular and AWS cloud in general. The first post in this two-part series discusses best practices for designing enterprise-grade data vaults of varying scale using Amazon Redshift.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

AWS Big Data

NOVEMBER 16, 2023

This post discusses best practices for designing enterprise-grade Data Vaults of varying scale using Amazon Redshift; the second post in this two-part series discusses the most pressing needs when designing an enterprise-grade Data Vault and how those needs are addressed by Amazon Redshift. Data Vault 2.0

Enterprise 85

Enterprise Data Warehouse Data Lake Optimization 85

Octopai

OCTOBER 28, 2020

As you may have experienced, one of the many impacts of the COVID-19 pandemic is that on-premises metadata management may no longer be a feasible way to connect BI teams. Further, although key stakeholders may be physically away from the workplace, they still need to access metadata information to produce reports.

Metadata 52

Metadata Management Cost-Benefit Business Intelligence 52

Octopai

JUNE 30, 2022

Establishing a single, enterprise-wide source of truth? If you can rattle off the top five or ten enterprise data catalog use cases in your sleep, this post is an attempt to add a little more color and variety to your data life. Here are three ways enterprises can leverage their data catalogs that don’t make the standard lists.

Enterprise 72

Enterprise Data-driven Data Lake Data Quality 72

AWS Big Data

APRIL 3, 2024

For many enterprises and large organizations, it is not feasible to have one processing engine or tool to deal with the various business requirements. AWS provides integrations for various AWS services with Iceberg tables as well, including AWS Glue Data Catalog for tracking table metadata.

Data Lake 94

Data Lake Snapshot Metadata Data Architecture 94

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

Data Governance 142

Data Governance Management Metadata Data Quality 142

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. 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.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

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. For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users.

Metadata 88

Metadata Data Lake Visualization Data Transformation 88

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. . Apache Iceberg in CDP : Our Approach.

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

AWS Big Data

APRIL 2, 2024

What we hear from customers Organizations are adopting enterprise-wide data discovery and governance solutions like Amazon DataZone to unlock the value from petabytes, and even exabytes, of data spread across multiple departments, services, on-premises databases, and third-party sources (such as partner solutions and public datasets).

Metadata 89

Metadata Metrics Data-driven Modeling 89

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. They might have 300 applications, with 50 different databases and a different schema for each one.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Sisense

JULY 6, 2020

Employing Enterprise Data Management (EDM). What is enterprise data management? Simply put, enterprise data management is the process of centralizing, standardizing, and organizing data in order to produce high-quality, accurate insights that improve a company’s decision-making and overall use of data.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Ontotext

OCTOBER 11, 2023

Scalability – a significant cost reduction for
scale-ups. Krasimira showcased how knowledge graphs, combined with semantic metadata , enhance LLMs for better content discovery, understanding, and question-answering. A year later, our project already reaps the benefits of knowledge-graph powered marketing. A demonstrator.

Metadata 69

Metadata Cost-Benefit Marketing Modeling 69

AWS Big Data

APRIL 29, 2024

Based on this example and considering your enterprise requirements, it becomes feasible and flexible to manage permissions in the data warehouse effectively. He has many years of experience in AWS Cloud platform data architecture and development, primarily focusing on efficiency optimization and cost control of enterprise cloud architectures.

Management 96

Management Big Data Metadata Data Warehouse 96

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Metadata Studio – our new product for streamlining the development and operation of solutions involving text analysis. GraphDB: Faster and more versatile.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

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. The 5 Pillars of Data Quality Management. 1 – The people. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

JANUARY 30, 2020

I’m encouraged by these results as it tells us that enterprises are really beginning to embrace the power of data to shape their organizations. 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.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

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

Cloudera

APRIL 1, 2024

Our cutting-edge Shared data experience (SDX) service provides a unified control plane for common security, governance and metadata management on all structured and unstructured data. Organizations manage an increasing variety of single purpose databases, resulting in increased cost, complexity, management overhead, and risk.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. It will ultimately help them spot new business opportunities, cut costs, or identify inefficient processes that need reengineering.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. internal metadata, industry ontologies, etc.) The solution brings many business benefits. The business benefits here are also significant.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. ” With new business lines, leading to new tools, a lot of diverse and siloed data inevitably enters enterprise systems. The question is not how to avoid complexity but how to embrace it and take advantage of it.”

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Why Enterprise Knowledge Graphs? The first challenge here is how to enable agile enterprise information management.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 4: Enterprise grade. 3: Open Performance.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

AWS Big Data

JUNE 12, 2024

Swisscom’s Data, Analytics, and AI division is building a One Data Platform (ODP) solution that will enable every Swisscom employee, process, and product to benefit from the massive value of Swisscom’s data. Balancing system performance, scalability, and cost while taking into account the rigid system pieces requires a strategic solution.

Data Architecture 92

Data Architecture Cost-Benefit Experimentation Management 92

Domino Data Lab

OCTOBER 1, 2020

This process of creating duplicate versions of the data not only takes a lot of time (typically months) and increases storage costs (which quickly add up when talking about petabytes of data), but also becomes a management nightmare. PII, PHI, etc). For the compliance team, the combination of Okera and Domino Data Lab is extremely powerful.

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

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

OCTOBER 4, 2023

Then we explain the benefits of Amazon DataZone and walk you through key features. Three core benefits of Amazon DataZone Amazon DataZone enables customers to discover, share, and govern data at scale across organizational boundaries. Here are the core benefits Amazon DataZone provides to its customers.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

erwin

APRIL 2, 2021

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Providing metadata and value-based analysis: Discovery and classification of sensitive data based on metadata and data value patterns and algorithms.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

AWS Big Data

APRIL 19, 2023

Customers now want to migrate their Apache Hive workloads to Apache Spark in the cloud to get the benefits of optimized runtime, cost reduction through transient clusters, better scalability by decoupling the storage and compute, and flexibility. The script generates a metadata JSON file for each step.

Metadata 80

Metadata Testing Data Lake Consulting 80

Cloudera

OCTOBER 7, 2021

To better articulate the value proposition of that architecture, I will present the benefits that CDF delivers as an enabler of a data mesh architecture from a business case I built for a Cloudera client operating in the financial services domain. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

erwin

SEPTEMBER 17, 2020

It’s paramount that organizations understand the benefits of automating end-to-end data lineage. Critically, it makes it easier to get a clear view of how information is created and flows into, across and outside an enterprise. Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

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 118

Data Lake Data Processing Metadata Snapshot 118

Ontotext

FEBRUARY 26, 2024

If one can figure out how to effectively reuse rockets, just like airplanes, the cost of access to space will be reduced by as much as a factor of a hundred.” ” Elon Musk SpaceX succeeded in building reusable rockets, drastically reducing the cost of sending them into orbit or taking astronauts to the International Space Station.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52