IBM Big Data Hub

MAY 9, 2022

These use cases provide a foundation that delivers a rich and intuitive data shopping experience. This data marketplace capability will enable organizations to efficiently deliver high quality governed data products at scale across the enterprise. Multicloud data integration.

Management 57

Management Data Quality Metadata Data Integration 57

IBM Big Data Hub

SEPTEMBER 20, 2022

Automated, integrated data science tools help build, deploy, and monitor AI models. Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. It’s not just about granting proper access to data science teams.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Cloudera

FEBRUARY 11, 2019

Cloudera provides a unified platform with multiple data apps and tools, big data management, hybrid cloud deployment flexibility, admin tools for platform provisioning and control, and a shared data experience for centralized security, governance, and metadata management.

Management 42

Management Metadata Analytics Machine Learning 42

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Perform data quality monitoring based on pre-configured rules.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Data Virtualization

DECEMBER 21, 2023

And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve. The post Data Governance in a Data Mesh or Data Fabric Architecture appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Governance 59

Data Governance Data Architecture Data Integration Management 59

Data Virtualization

MARCH 21, 2024

The POC was for a data. The post Getting the Fundamentals Right for Gen AI appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 59

Data Integration Management IT Consulting 59

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. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 69

Data Quality Data Integration Metadata Cost-Benefit 69

AWS Big Data

JUNE 7, 2023

For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

Andrew White

OCTOBER 22, 2021

Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Data Management Infrastructure/Data Fabric 5.

IT 52

IT Data Lake Strategy Data Science 52

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Consideration of both data & metadata in the migration.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

Data Virtualization

JANUARY 18, 2024

Reading Time: 3 minutes Today, the most innovative and successful organizations leverage data to increase revenue, minimize expenses, and deliver products and services that meet the needs of their customers. To be truly “data-driven,” an organization must view data as more than a byproduct. The post How to Shop for Data?

Data-driven 59

Data-driven Data Integration Management Metadata 59

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

AWS Big Data

AUGUST 15, 2023

Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. Doing so can help unblock developers and data scientists so they can efficiently provide results and save time.

Recreation/Entertainment 84

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 84

Data Virtualization

JUNE 22, 2023

The Denodo Platform is a logical data management platform, powered by. The post Denodo Joins Forces with Presto appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management Data Lake Metadata 52

Data Virtualization

OCTOBER 18, 2022

The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. In times of potentially troublesome change, the apparent paradox and inner poetry of these.

Data Warehouse 98

Data Warehouse ROI Data Integration Internet of Things 98

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Data Virtualization

NOVEMBER 17, 2022

The idea seems, on the face of it, easy to understand: a data catalog is simply a centralized inventory of the data assets within an organization. Data catalogs also seek to be the. The post Choosing a Data Catalog: Data Map or Data Delivery App?

Data Integration 59

Data Integration Management Data Lake IT 59

Data Virtualization

APRIL 21, 2022

But what is a data lakehouse and why should we develop one? The post The Data Lakehouse: Blending Data Warehouses and Data Lakes appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. In a way, the name describes what.

Data Lake 59

Data Lake Data Warehouse Data Integration Management 59

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Data integration.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

IBM Big Data Hub

APRIL 27, 2022

Gartner defines a data fabric as “a design concept that serves as an integrated layer of data and connecting processes. The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. 11 May 2021. . 3 March 2022.

Management 89

Management Metadata Data Architecture Data Lake 89

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. RDF facilitates strategic integration while LPGs are best for tactical analytics. We use them every day without realizing.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Then, you transform this data into a concise format.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Andrew White

JUNE 11, 2019

Google acquires Looker – June 2019 (infrastructure/search/data broker vendor acquires analytics/BI). Salesforce closes acquisition of Mulesoft – May 2018 (business app vendor acquires data integration). Data Management. Data and Analytics Governance. Some aspects of Data Quality.

IT 82

IT Data Quality Data Integration Business Objectives 82

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. Amazon Redshift RA3 instances and Amazon Redshift Serverless are perfect choices for a data vault.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

O'Reilly on Data

MARCH 20, 2019

Data integrity constraints: Many databases don’t allow for strange or unrealistic combinations of input variables and this could potentially thwart watermarking attacks. Applying data integrity constraints on live, incoming data streams could have the same benefits. Disparate impact analysis: see section 1.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

Cloudera

NOVEMBER 8, 2022

Ozone is also highly available — the Ozone metadata is replicated by Apache Ratis, an implementation of the Raft consensus algorithm for high-performance replication. Since Ozone supports both Hadoop FileSystem interface and Amazon S3 interface, frameworks like Apache Spark, YARN, Hive, and Impala can automatically use Ozone to store data.

Metadata 80

Metadata Data-driven Management Optimization 80

Andrew White

JANUARY 9, 2022

This research does not tell you where to do the work; it is meant to provide the questions to ask in order to work out where to target the work, spanning reporting/analytics (classic), advanced analytics and data science (lab), data management and infrastructure, and D&A governance. We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

JULY 28, 2022

Lift and shift perpetuates the same data problems, albeit in a new location. In many cases, businesses have tons of data, but the data can’t be trusted. If you don’t have a well-defined business problem, your analytics or data science project will be an expensive failure. But you must be tough!”.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Cloudera

SEPTEMBER 6, 2018

Support machine learning (ML) algorithms and data science activities, to help with name matching, risk scoring, link analysis, anomaly detection, and transaction monitoring. Provide audit and data lineage information to facilitate regulatory reviews. Spark also enables data science at scale. riskCanvas.

Machine Learning 40

Machine Learning Risk Big Data Unstructured Data 40

Cloudera

JUNE 25, 2019

Hybrid and multi-cloud – provides choice to manage, analyze and experiment with data in any public cloud and in private data centers for maximum choice and flexibility. Shared Data Experience (SDX) – Enabling consistent security, governance, and control across data stores and cloud services.

Enterprise 86

Enterprise Machine Learning Recreation/Entertainment IoT 86

CIO Business Intelligence

SEPTEMBER 22, 2023

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. DMP vs. CDP Lately a cousin of DMP has evolved, called the customer data platform (CDP).

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. Lately a cousin of DMP has evolved, called the customer data platform (CDP). Adobe Audience Manager.

Management 143

Management Advertising Data Lake Sales 143

AWS Big Data

FEBRUARY 2, 2023

For Report path prefix , enter cur-data/account-cur-daily. For Enable report data integration for , select Amazon Athena. He comes from an application development background, interested in Data Science and Machine Learning. For Time granularity , choose Daily. Choose Next.

Reporting 83

Reporting Data Lake Management Optimization 83

Octopai

SEPTEMBER 27, 2023

Octopai’s real-time capabilities provide a transparent, up-to-the-moment view of data integrations across platforms like Airflow, Azure Data Factory, Snowflake, Redshift, and Azure Synapse. Instead, it’s an intuitive journey where every step of data is transparent and trustworthy.

Metadata 52

Metadata Visualization Data Integration Data-driven 52

O'Reilly on Data

MAY 21, 2019

Not surprisingly, data integration and ETL were among the top responses, with 60% currently building or evaluating solutions in this area. In an age of data-hungry algorithms, everything really begins with collecting and aggregating data. Key features of many data science platforms. Source: O'Reilly.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238