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’s New in Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Innovation 91

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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

Dataversity

DECEMBER 14, 2020

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

Data Warehouse 147

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Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. The bottom line.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Innovation 52

Innovation Data Warehouse Data Architecture Visualization 52

Astera

JUNE 6, 2023

The pipeline includes stages such as data ingestion, extraction, transformation, validation, storage, analysis, and delivery. Technologies like ETL, batch processing, real-time streaming, and data warehouses are used. They are ideal for handling historical data analysis, offline reporting, and batch-oriented tasks.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Tableau

FEBRUARY 14, 2022

Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your data architecture. “I

Chief Data Officer 73

Chief Data Officer Supply Chain Government Data Architecture 73

Tableau

FEBRUARY 14, 2022

Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your data architecture. “I

Chief Data Officer 71

Chief Data Officer Supply Chain Government Data Architecture 71

Astera

NOVEMBER 16, 2022

The 2022 Global Hybrid Cloud Trends Report by Cisco shows that 82% of organizations have adopted the hybrid cloud, which isn’t surprising given the growing popularity of hybrid data architectures among modern IT professionals. A unified platform will help you create a consistent data architecture that scales with your business.

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 52

The Data Administration Newsletter

MAY 31, 2022

As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much as possible. Deciding between which cloud architecture to use has always been a debate between two options: data warehouses and data lakes.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture Government 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

Digital Transformation 246

Digital Transformation Digital Data Management Data Warehouse 246

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Data Management. Unscalable data architecture.

Big Data 130

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Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

OCTOBER 19, 2023

Flexibility and Adaptability Flexibility is the tool’s ability to work with various data sources, formats, and platforms without compromising performance or quality. It should be able to adjust to new technologies, handle increasing data volumes, and accommodate new business goals. Top 5 Data Preparation Tools for 2023 1.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Dataversity

FEBRUARY 18, 2022

They say that history repeats itself, and that those who don’t remember the past are doomed to repeat it. We’re about to see another instance – with regards to consolidation – where these old adages ring true. Years ago, at the start of the cloud revolution, companies began to flee from the idea of a monolithic, […].

Data Warehouse 246

Data Warehouse Data Architecture Data Management 246

The Data Administration Newsletter

FEBRUARY 7, 2024

In the rapidly evolving data landscape, data practitioners face a plethora of concepts and architectures. Data mesh argues for a decentralized approach to data and for data to be delivered as curated, reusable data products under the ownership of business domains.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture Government 52

The Data Administration Newsletter

JANUARY 3, 2023

For a while now, vendors have been advocating that people put their data in a data lake when they put their data in the cloud. The Data Lake The idea is that you put your data into a data lake. Then, at a later point in time, the end user analyst can come along and […].

Data Warehouse 59

Data Warehouse Data Architecture Big Data Data Management 59

Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization. What Is Informatica?

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization. What Is Informatica?

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 21, 2022

Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data. Managing and keeping track of all of this data is not easy. While organizing data effectively can be difficult, the rewards of doing so can be significant.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Actian

SEPTEMBER 3, 2019

Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire. In addition to fully harnessing and analyzing available data, the speed at which this is performed is critical.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Actian

SEPTEMBER 3, 2019

Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire. In addition to fully harnessing and analyzing available data, the speed at which this is performed is critical.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Astera

JANUARY 12, 2024

This means organizations must look for ways to efficiently manage and leverage this wealth of information for valuable insights. A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Actian

SEPTEMBER 30, 2019

In the prior three blogs from this series, we looked at i) maximizing the value of available data , ii) leveraging the right data for the right decision-making , and iii) identified key challenges to the adoption of cloud data warehouse solutions. Compliance for global enterprises has never been more complicated.

Data Warehouse 40

Data Warehouse Data Architecture Data Analytics Data Analytics 40

Actian

JULY 31, 2019

At one time, data was largely transactional and Online Transactional Processing (OLTP) and Enterprise resource planning (ERP) systems handled it inline, and it was heavily structured. They are generating the entire range of structured and unstructured data, but with two-thirds of it in a time-series format.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Actian

SEPTEMBER 30, 2019

In the prior three blogs from this series, we looked at i) maximizing the value of available data , ii) leveraging the right data for the right decision-making , and iii) identified key challenges to the adoption of cloud data warehouse solutions. Compliance for global enterprises has never been more complicated.

Data Warehouse 8

Data Warehouse Data Architecture Data Analytics Data Analytics 8

Insight Software

MARCH 4, 2024

Technology teams often jump into SAP data systems expecting immediate, quantifiable ROI. However, this optimism often overlooks the reality of the situation: complex data architecture, mountains of manual tasks, and hidden inefficiencies in processing. Visions of cost savings and efficiency gains dance in their minds.

IBM cost 52

IBM cost IBM Support IBM Maintenance Supply Chain 52

Insight Software

JULY 28, 2023

Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current data architecture. Plan how you will deliver and iterate these within your application. These must be flexible enough to meet the changing demands of users.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 1, 2023

Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems.

Embedded Analytics 52

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