AWS Big Data

DECEMBER 4, 2024

These formats, exemplified by Apache Iceberg, Apache Hudi, and Delta Lake, addresses persistent challenges in traditional data lake structures by offering an advanced combination of flexibility, performance, and governance capabilities. These are useful for flexible data lifecycle management. Delta Lake highlights AWS Glue 5.0

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

CIO Business Intelligence

SEPTEMBER 19, 2024

It will do this, it said, with bidirectional integration between its platform and Salesforce’s to seamlessly delivers data governance and end-to-end lineage within Salesforce Data Cloud. Additional to that, we are also allowing the metadata inside of Alation to be read into these agents.”

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

O'Reilly on Data

JUNE 19, 2019

First, the machine learning community has conducted groundbreaking research in many areas of interest to companies, and much of this research has been conducted out in the open via preprints and conference presentations. A catalog of validation data sets and the accuracy measurements of stored models.

Modeling 258

Modeling Machine Learning Testing Metrics 258

erwin

JANUARY 3, 2020

As organizations become data-driven and awash in an overwhelming amount of data from multiple data sources (AI, IoT, ML, etc.), they will find new ways to get a handle on data quality and focus on data management processes and best practices.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

O'Reilly on Data

MARCH 31, 2020

For example, if engineers are training a neural network, then this data teaches the network to approximate a function that behaves similarly to the pairs they pass through it. You might have millions of short videos , with user ratings and limited metadata about the creators or content.

Management 363

Management Machine Learning Experimentation Metrics 363

DataKitchen

OCTOBER 20, 2023

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. Deploying a Data Journey Instance unique to each customer’s payload is vital to fill this gap.

Insurance 169

Insurance Metadata Data-driven Data Quality 169

Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Do we have end-to-end data pipeline control?

Data Quality 52

Data Quality Metadata Data Governance Testing 52

Smart Data Collective

SEPTEMBER 26, 2021

getting back on topic, documents can encode data in various formats, such as Word, XML, JSON, and BSON. Data type description and the value for the concerned description can be found in the document. The structure of the documents that make up the database can be similar or present certain differences.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

Alation

NOVEMBER 4, 2021

This week I was talking to a data practitioner at a global systems integrator. The practitioner asked me to add something to a presentation for his organization: the value of data governance for things other than data compliance and data security. Now to be honest, I immediately jumped onto data quality.

Data Governance 94

Data Governance Metadata Data Quality Enterprise 94

Ontotext

JULY 29, 2021

KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. The RDF data model and the other standards in W3C’s Semantic Web stack (e.g.,

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. From establishing an enterprise-wide data inventory and improving data discoverability, to enabling decentralized data sharing and governance, Amazon DataZone has been a game changer for HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

IBM Big Data Hub

NOVEMBER 21, 2023

Apache Kafka transfers data without validating the information in the messages. It does not have any visibility of what kind of data are being sent and received, or what data types it might contain. Kafka does not examine the metadata of your messages. What’s next?

Data Quality 96

Data Quality Metadata Data-driven Optimization 96

TDAN

JUNE 30, 2020

You may already have a formal Data Governance program in place. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].

Data Governance 145

Data Governance Data Quality Metadata Data Strategy 145

datapine

JANUARY 31, 2022

BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Ontotext

SEPTEMBER 15, 2020

The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems. Knowledge Graphs are the Warp and Weft of a Data Fabric. To implement any Data Fabric approach, it is essential to be able to understand the context of data.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

Ontotext

DECEMBER 1, 2023

The event held the space for presentations, discussions, and one-on-one meetings, where more than 20 partners, 1064 Registrants from 41 countries, spanning across 25 industries came together. It was presented by Summit Pal, Strategic Technology Director at Ontotext and former Gartner VP Analyst.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

JANUARY 10, 2024

Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. In both cases, semantic metadata is the glue that turns knowledge graphs into hubs of data, metadata, and content.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Andrew White

JUNE 11, 2019

Just managing data without effective governance won’t cut it; analyzing data and presenting a dashboard without trust in the data won’t cut it. There is also a lot of action in the data and analytics governance space for sure. The moving parts include but are not limited to: Master Data Management.

IT 82

IT Data Quality Data Integration Business Objectives 82

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Currently, he is in charge of the Technical Operations team at MIT Open Learning.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

AWS Big Data

JULY 20, 2023

We explore why Orca chose to build a transactional data lake and examine the key considerations that guided the selection of Apache Iceberg as the preferred table format. Lastly, we discuss the challenges encountered throughout the project, present the solutions used to address them, and share valuable lessons learned.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Alation

OCTOBER 5, 2021

It’s on Data Governance Leaders to identify the issues with the business process that causes users to act in these ways. Inconsistencies in expectations can create enormous negative issues regarding data quality and governance. Data governance and AI. Aligning data strategy and governance with business outcomes.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

DataKitchen

JUNE 24, 2021

Agility is absolutely the cornerstone of what DataOps presents in the build and in the run aspects of our data products.”. Bergh added, “ DataOps is part of the data fabric. You should use DataOps principles to build and iterate and continuously improve your Data Fabric. Education is the Biggest Challenge.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Octopai

APRIL 16, 2020

Some data teams working remotely are making the most of the situation with advanced metadata management tools that help them deliver faster and more accurately, ensuring business as usual, even during coronavirus. These aren’t the only challenges presented to a remote workforce.

Metadata 59

Metadata Business Intelligence Uncertainty Data Quality 59

Alation

JULY 19, 2022

A data catalog can assist directly with every step, but model development. And even then, information from the data catalog can be transferred to a model connector , allowing data scientists to benefit from curated metadata within those platforms. How Data Catalogs Help Data Scientists Ask Better Questions.

Metadata 59

Metadata Data Quality Statistics Data Science 59

AWS Big Data

APRIL 19, 2023

Background The success of a data-driven organization recognizes data as a key enabler to increase and sustain innovation. The goal of a data product is to solve the long-standing issue of data silos and data quality. The data science algorithm Valentine is an effective tool for this.

Technology 105

Technology Data-driven Machine Learning Sales 105

Ontotext

FEBRUARY 12, 2024

In a centralized architecture, data is copied from source systems into a data lake or data warehouse to create a single source of truth serving analytics use cases. This quickly becomes difficult to scale with data discovery and data version issues, schema evolution, tight coupling, and a lack of semantic metadata.

IT 64

IT Metadata Data Quality Data Lake 64

Alation

AUGUST 11, 2022

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. But, through it all, Mohan says it’s critical to view everything through the same lens: gaining business value from data. Data fabric is a technology architecture.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Alation

DECEMBER 15, 2022

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

erwin

AUGUST 31, 2023

It delivers the ability to capture and unify the business and technical perspectives of data assets, enables effective collaboration between a variety of stakeholders, and delivers metadata-driven automation to accelerate the creation and maintenance of data sources on virtually any data management platform.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

AWS Big Data

AUGUST 15, 2024

Traditional data management—wherein each business unit ingests raw data in separate data lakes or warehouses—hinders visibility and cross-functional analysis. A data mesh framework empowers business units with data ownership and facilitates seamless sharing.

Data Lake 122

Data Lake Data Warehouse Data Governance Publishing 122

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Alation

NOVEMBER 30, 2022

Modern data users face an explosion of data sources and tools – and working across a broad range of tools presents unique challenges. It’s tough to keep track of what data is available, and even harder to know what that data means or how to use it. Alation Anywhere will expand to the chat app Slack.

Metadata 52

Metadata Data Quality Dashboards Sales 52

Alation

MAY 19, 2022

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often.

Data Analytics 52

Data Analytics Metadata Analytics Data Governance 52

CIO Business Intelligence

OCTOBER 22, 2024

But managing multicloud environments presents unique challenges, especially when it comes to the interoperability and workload-fluidity issues at the center of more deliberate — rather than happenstance — multicloud strategies.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

Cloudera

SEPTEMBER 15, 2022

The third element in the process is the connection between the data products and the collection of analytics applications to provide business results. In June 2022, Barr Moses of Monte Carlo expanded on her initial article defining data observability. Monitoring volume provides another data quality checkpoint.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

AWS Big Data

NOVEMBER 16, 2023

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability. Automatic WLM manages the resources required to run queries.

Enterprise 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111