Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Alation

FEBRUARY 20, 2020

Gartner predicts that “By 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.”. Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Metadata management no longer refers to a static technical repository. – Gartner, Inc.,

Metadata 52

Metadata Management Data-driven Data Governance 52

Smart Data Collective

MARCH 19, 2023

Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany. The dropshipping industry is among them.

Predictive Analytics 128

Predictive Analytics Analytics Manufacturing Advertising 128

Alation

AUGUST 18, 2022

I’m convinced that a fundamental shift in approach to lineage is needed to drive both the value of data (and the analytics culture) to a new level of effectiveness. Active metadata will play a critical role in automating such updates as they arise. Support for all technologies. Simply put, I find it fascinating!

Metadata 69

Metadata Visualization Statistics Data Architecture 69

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 97

Metadata Metrics Testing Management 97

Octopai

OCTOBER 12, 2020

Instead, they now must find ways to adapt to this new reality, which in many cases means adopting disruptive technologies that can help bridge the gap between working from the comfort of the office to working in the chaos of home (for those of us with kids out of school). One word for you: Cloud. Watch the Webinar.

Metadata 52

Metadata Management Reporting Sales 52

Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Gartner Data & Analytics Summit 2022: Keynote Highlights. Active metadata gives you crucial context around what data you have and how to use it wisely. These are three areas in which analytics is rapidly advancing.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Ontotext

APRIL 10, 2024

Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience. In most enterprises data teams lack a data map and data asset inventory and are often unaware of data that exists across the organization, its associated profile, quality and associated metadata.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

AWS Big Data

APRIL 19, 2023

We took this a step further by creating a blueprint to create smart recommendations by linking similar data products using graph technology and ML. In this post, we showed how an organization can augment a data catalog with additional metadata by using ML and Neptune with an automated process.

Technology 83

Technology Data-driven Machine Learning Sales 83

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

Ontotext

AUGUST 22, 2023

Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Smart Data Collective

AUGUST 25, 2020

Before the turn of the century, the reliance on data technology was little more than nonexistent. Hadoop technology is helping disrupt online marketing in various ways. Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. One of the most overlooked factors is metadata.

Data mining 109

Data mining Metadata Big Data ROI 109

Ontotext

MAY 2, 2024

Particularly those on the “the create side of the house” who are tasked to deliver insights and analytics. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

AWS Big Data

DECEMBER 13, 2023

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. The metadata holds configurations for the file ingestion step to connect to Amazon S3 or SFTP endpoints and ingest files to target location.

Metadata 89

Metadata Data Lake Visualization Data Transformation 89

Timo Elliott

JANUARY 6, 2022

Analyze your metadata. If you’ve been properly managing your metadata as part of a broader data governance policy, you can use metadata management explorers to reveal silos of dark data in your landscape. Modern technologies allow the creation of data orchestration pipelines that help pool and aggregate dark data silos.

IT 133

IT Metadata Data-driven Data Governance 133

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. The data architect is responsible for visualizing and designing an organization’s enterprise data management framework.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. It doesn’t conform to a data model but does have associated metadata that can be used to group it. What is a data scientist?

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. You don’t need to write any code. Choose Next.

Visualization 84

Visualization Metadata Testing Internet of Things 84

Cloudera

APRIL 2, 2024

Moreover, as emerging technologies like generative AI proliferate across Federal use cases, the need for trusted data that is secure, governed and ready for AI has never been more acute. Data is critical to driving the innovation and decision-making that improves services, streamlines operations and strengthens national security.

Metadata 104

Metadata Measurement Management Enterprise 104

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. Another perspective on technology-induced business disruption (including ChatGPT deployments) is to consider the three F’s that affect (and can potentially derail) such projects.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

AUGUST 16, 2023

Iceberg captures metadata information on the state of datasets as they evolve and change over time. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog.

Data Lake 80

Data Lake Metadata Snapshot Management 80

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. Two Experiences for One NLQ.

Analytics 89

Analytics Experimentation Metadata Big Data 89

Data Virtualization

MARCH 28, 2024

As noted in the Gartner Hype Cycle for Finance Data and Analytics Governance, 2023, “Through. The post My Understanding of the Gartner® Hype Cycle™ for Finance Data and Analytics Governance, 2023 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 69

Finance Digital Transformation Analytics Data Integration 69

AWS Big Data

APRIL 2, 2024

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc.

Metadata 87

Metadata Marketing Analytics Data Transformation 87

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.”

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. It was presented by Summit Pal, Strategic Technology Director at Ontotext and former Gartner VP Analyst.

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform powered by Amazon Redshift and Amazon QuickSight provides a full-fledged analytics platform for Eightfold’s customers. It delivers analytics and enhanced insights about the customer’s Talent Acquisition, Talent Management pipelines, and much more.

Metadata 103

Metadata Data Warehouse Analytics Data Analytics 103

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

FEBRUARY 27, 2024

Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post. For index , you can leave it as default, which will get the metadata from the source index and write to the same name in the destination as of the sources. When not working, you can find him traveling and exploring new places.

Metadata 96

Metadata Data Processing Dashboards IoT 96

erwin

JANUARY 14, 2021

As the pandemic took hold, IDC surveyed technology users and decision makers around the globe, reaching out every two weeks until September, when the survey frequency shifted to monthly. When the pandemic first hit, there was some negative impact on big data and analytics spending.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

AWS Big Data

JUNE 6, 2023

SumUp is a leading global financial technology company driven by the purpose of leveling the playing field for small businesses. In this post we showcase how we used AWS Glue to move siloed digital analytics data, with inconsistent arrival times, to AWS S3 (our Data Lake) and our central data warehouse (DWH), Snowflake.

Analytics 55

Analytics Data Lake Testing Optimization 55

Ontotext

MARCH 13, 2024

Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies. This is what our marketing team uses to enrich new content with semantic metadata before publishing it. We store this in GraphDB by leveraging standard tooling for knowledge graph management.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

erwin

JANUARY 30, 2020

However, the latest group of survey participants say better decision-making is their primary driver (62 percent), with analytics secondary (51 percent), and regulatory compliance coming in third (48 percent). However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. Established, mature technologies represent an integral part of DMSA. Cloudera believes disruption persists around multi-cloud.

Management 43

Management Metadata Analytics Machine Learning 43