Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

JANUARY 12, 2024

Modern data architecture is characterized by flexibility and adaptability, allowing organizations to seamlessly integrate structured and unstructured data, facilitate real-time analytics, and ensure robust data governance and security, fostering data-driven insights.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

APRIL 24, 2024

IBM Cloud Pak for Data IBM Cloud Pak for Data is an integrated data and AI platform that aids in removing data silos and improving data security and accessibility. It offers a modular set of software components for data management. Test the tool’s transformation capabilities with data samples.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

JULY 13, 2023

Master Data Management (MDM) Master data management is a process of creating a single, authoritative source of data for business-critical information, such as customer or product data. One of the key benefits of MDM is that it can help to improve data quality and reduce errors.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Domo

OCTOBER 22, 2021

Such an offering can also simplify and integrate data management on a massive scale—whether that data lives on premises or in cloud environments—and be used to develop an enterprise-wide data modeling process. For another, it enables business users to access warehouse data in a highly governed way.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Astera

JANUARY 24, 2024

If your Reverse ETL tool prioritizes sync reliability and robustness, you can rest easy knowing that your data will be synchronized regardless of any technical difficulties or other issues that may arise. Also look for data protection measures such as encryption for optimum security.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Actian

OCTOBER 7, 2019

A data hub is a logical architecture which enables data sharing by connecting producers of data (applications, processes, and teams) with consumers of data (other applications, process, and teams). Data hubs also simplify the data governance requirements as the data is persisted at a central location.

Data Warehouse 40

Data Warehouse Government Data Governance Agile 40

Astera

DECEMBER 22, 2022

It’s one of the three core data types, along with structured and semi-structured formats. Examples of unstructured data include call logs, chat transcripts, contracts, and sensor data, as these datasets are not arranged according to a preset data model. This makes managing unstructured data difficult.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Leading Agile

NOVEMBER 22, 2023

So leading Agile brings this idea of business capability, architecture, teaming strategies, flow-based governance, ultimately starting with business capabilities, but ultimately organizing around value streams, incremental and iterative transformation. Not a lot of people that deeply understand. So we look at all the dependencies.

Agile 62

Agile Business Architecture Government Project Management 62

Leading Agile

NOVEMBER 22, 2023

So leading Agile brings this idea of business capability, architecture, teaming strategies, flow-based governance, ultimately starting with business capabilities, but ultimately organizing around value streams, incremental and iterative transformation. Not a lot of people that deeply understand. So we look at all the dependencies.

Agile 62

Agile Business Architecture Government Project Management 62

Tableau

APRIL 18, 2022

Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Tableau

APRIL 18, 2022

Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation.

Data Quality 96

Data Quality Government Artificial Intelligence Data Warehouse 96

Actian

OCTOBER 7, 2019

A data hub is a logical architecture which enables data sharing by connecting producers of data (applications, processes, and teams) with consumers of data (other applications, process, and teams). Data hubs also simplify the data governance requirements as the data is persisted at a central location.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

Whizlabs

APRIL 19, 2021

His 20+ years of experience has made him an expert in Cloud Computing Strategy & Governance, Cloud Centre of Excellence leadership, Cloud Migration, IaaS/PaaS and Public/Hybrid Cloud. He is a globally recognized thought leader in IoT, Cloud Data Security, Health Tech, Digital Health and many more.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Sisense

JULY 6, 2020

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Actian

NOVEMBER 26, 2019

The recent shift towards the cloud, SaaS services, mobile devices, and IoT has made data integration and management highly challenging and enforcing the required security and governance nearly impossible. Without the right tools, this task can be nearly impossible.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Data Security 8

Sisense

MARCH 18, 2019

Since our target audience covers an entire spectrum of users from the C-Level down to the operational level, our prebuilt dashboards are designed to show high-level metrics when users land on the page and include paths to drill into detail-level data. Sisense is truly unique in that the data layer is decoupled from the visualizations.

Embedded Analytics 71

Embedded Analytics Data Modelling Monitoring Logistics 71

Insight Software

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52

Insight Software

MAY 1, 2023

Content creators want a managed experience where they can query governed data sources, create dashboards and reports, and share what they’ve created with colleagues. Data analysts need a self-directed experience. They start with a blank canvas and connect to their own data sources. These support multi-tenancy.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52