Dataversity

APRIL 5, 2021

Agility is key to success here. However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark.

Data Management 244

Data Management Agile Data Warehouse Data Modelling 244

Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.”

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Astera

DECEMBER 16, 2024

What is Hevo Data and its Key Features Hevo is a data pipeline platform that simplifies data movement and integration across multiple data sources and destinations and can automatically sync data from various sources, such as databases, cloud storage, SaaS applications, or data streaming services, into databases and data warehouses.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Domo

APRIL 30, 2021

Digital transformation efforts are placing a sharp focus on disparate data sources. As companies aim to speed business value, they’re realizing the need for data agility. But they’ve got a problem: Most data sits in segmented silos, warehouses, data lakes, databases, and even spreadsheets.

Data Warehouse 98

Data Warehouse Artificial Intelligence Government Digital Transformation 98

Business Analysis Knowledge Share

OCTOBER 24, 2023

Data Warehousing is the process of collecting, storing, and managing data from various sources into a central repository. This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Data Sources Data Warehouses collect data from diverse sources within an organization.

IBM Maintenance 75

IBM Maintenance Data Warehouse IBM cost Data Quality 75

Tableau

MAY 11, 2022

At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Actian

JULY 26, 2019

So, you have made the business case to modernize your data warehouse. A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. For more information go to Actian Avalanche cloud data warehouse.

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Information marts are data structures optimized for reporting and analysis.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

NOVEMBER 30, 2023

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 Data Vault 2.0 What’s New in Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

JULY 3, 2024

It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies. Moreover, a well-designed data architecture enhances data security and compliance by defining clear protocols for data governance.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Actian

OCTOBER 7, 2019

When you want to change or upgrade systems, tools or technologies, you must find all the connections entering and exiting what is being changed and ensure they are migrated and upgraded effectively – this is a barrier to business agility and impacts your time to market/value. Data Hubs enable efficiency, scale, and agility.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

Actian

JUNE 10, 2019

This includes both ready-to-use SaaS solutions as well as cloud-based infrastructure (IaaS and Paas) for various needs, such as data warehouses and in-house developed applications. Data warehouse migration to the cloud. During the past few years, Hadoop has been the big trend in data warehousing.

Data Management 40

Data Management Data Warehouse Big Data Data Governance 40

Domo

JULY 23, 2024

Breaking down data silos: the CIO’s dilemma Enterprise data is often stuck in silos—scattered across business systems, SaaS applications, and data warehouses. This fragmentation creates “BI breadlines,” where data requests pile up and slow down progress.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

Sisense

OCTOBER 14, 2020

Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. This combination has given the team advanced data handling and analytics capabilities.

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Astera

SEPTEMBER 4, 2024

This feature automates communication and insight-sharing so your teams can use, interpret, and analyze other domain-specific data sets with minimal technical expertise. Shared data governance is crucial to ensuring data quality, security, and compliance without compromising on the flexibility afforded to your teams by the data mesh approach.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Domo

OCTOBER 22, 2021

All too often, enterprise data is siloed across various business systems, SaaS systems, and enterprise data warehouses, leading to shadow IT and “BI breadlines”—a long queue of BI requests that can keep getting longer, compounding unresolved requests for data engineering services.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Actian

OCTOBER 28, 2019

Sustainable competitive advantage in this environment is built on three things – information, innovation, and agility. The key to innovation and business agility is enabling change to take place in a safe and controlled manner – you don’t want to slow down change, only minimize disruption. Data flow orchestration.

Innovation 8

Innovation Data Warehouse Agile Digital Transformation 8

Actian

OCTOBER 7, 2019

When you want to change or upgrade systems, tools or technologies, you must find all the connections entering and exiting what is being changed and ensure they are migrated and upgraded effectively – this is a barrier to business agility and impacts your time to market/value. Data Hubs enable efficiency, scale, and agility.

Data Warehouse 40

Data Warehouse Government Data Governance Agile 40

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

MAY 25, 2023

We’ll provide advice on topics such as data governance, choosing between ETL and ELT, integrating with other systems, and more. Snowflake is a modern cloud-based data platform that offers near-limitless scalability, storage capacity, and analytics power in an easily managed architecture. So, let’s get started!

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Business Analysis Knowledge Share

OCTOBER 27, 2023

Introduction In today’s data-driven landscape, businesses have recognized the paramount importance of harnessing the power of data to stay competitive and agile. Business Intelligence (BI) has emerged as a critical tool for organizations seeking to gain insights from their data and make informed decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

NOVEMBER 16, 2022

This way, you can modernize your data Infrastructure with minimal risk of data loss. Hybrid cloud integration optimizes IT performance and provides agility, allowing you to expand your workload on the cloud. Evaluate the location of your data. Increased Scalability.

Data Quality 52

Data Quality Data Architecture Data Warehouse Data Governance 52

Astera

JUNE 13, 2023

Data Mesh: The data mesh concept decentralizes them and establishes domain-oriented, self-serve data infrastructure. It promotes data ownership, autonomy, and easy access to data, leading to improved scalability and agility in data processing.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

AUGUST 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

AUGUST 15, 2024

Centralization also makes it easier for a company to implement its data governance framework uniformly. Data Orchestration vs. ETL Scope Extract, transform, load (ETL) primarily aims to extract data from a specified source, transform it into the necessary format, and then load it into a system.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

ElegantJ BI

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Governance Government Agile 130

ElegantJ BI

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Governance Government Agile 130

ElegantJ BI

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Governance Government Agile 130

Data Pine

FEBRUARY 22, 2022

This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? For this purpose, you can think about a data governance strategy. Develop a “Data Dictionary”. Define a budget.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Domo

MARCH 9, 2021

A: Speed of deployment is critical for analysts serving line-of-business leaders who need to make quick business decisions, build predictive models, or optimize toward business outcomes. Most of these analysts are delayed because they spend most of their time chasing down data that is outside of a data warehouse environment.

Government 52

Government Data Governance Data Warehouse Finance 52

Leading Agile

NOVEMBER 15, 2024

Agile methodologies promised transformative value but, in many large enterprises, Agile has become commoditized—a standard process that teams follow rather than a strategic driver. We’ll begin with a return to agile’s core principles, focusing on team autonomy, feedback loops, and iterative delivery.

Agile 113

Agile IBM Maintenance Project Management IBM cost 113