Simplilearn

JUNE 15, 2021

Data is the key to get ahead of rivals in today's data-driven marketplace. Companies all over the world are turning to their increasingly rapidly growing data volumes to make strategic business decisions.

Data Architecture 173

Data Architecture 173

Dataversity

APRIL 2, 2024

According to the Bureau of Labor Statistics, the outlook for jobs around managing data architecture and databases looks pretty good: The number of professionals with roles around managing data is due to grow by eight percent from 2022 to 2032.

Data Architecture 144

Data Architecture 144

Domo

SEPTEMBER 27, 2021

For another, as a data lake grows in complexity, it can lead to delays that impact innovation. Overcoming data lake disadvantages. 2 – Content ownership is assigned to those who know it best A business-centric data architecture allows the finance team to control finance data, the HR team to control HR data, and so on.

Data Architecture 52

Data Architecture Finance Government Visualization 52

Dataversity

JANUARY 12, 2023

Open-source technologies will become even more prominent within enterprises’ data architecture over the coming year, driven by the stark budgetary advantages combined with some of the newest enterprise-friendly capabilities added to several solutions. Here are three predictions for the open-source data infrastructure space in 2023: 1.

Data Architecture 242

Data Architecture 242

Dataversity

MAY 15, 2023

In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.” In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back.

Data Architecture 246

Data Architecture Data Modelling 246

Dataversity

JANUARY 25, 2023

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

Data Warehouse 130

Data Warehouse Data Architecture Cloud Computing Data Requirement 130

Simplilearn

NOVEMBER 10, 2022

Data is helping us make better decisions, solve problems faster, and even predict what might happen next. Data architects ensure that the organizational data architecture and services is robust, and. But there's more work to be done. Read More.

Data Architecture 185

Data Architecture 185

Dataversity

OCTOBER 28, 2022

In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. The post Developing Agile Data Warehouse Architecture Using Automation appeared first on DATAVERSITY.

Data Warehouse 130

Data Warehouse Agile Data Architecture Business Intelligence 130

Dataversity

SEPTEMBER 12, 2022

The ways in which we store and manage data have grown exponentially over recent years – and continue to evolve into new paradigms. For much of IT history, though, enterprise data architecture has existed as monolithic, centralized “data lakes.” The post Data Mesh or Data Mess?

Data Architecture 130

Data Architecture Data Quality Data Governance Government 130

Dataversity

JUNE 24, 2022

Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI.

Data Modelling 130

Data Modelling Data Warehouse Data Architecture Planning 130

The Data Administration Newsletter

APRIL 17, 2024

Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] 1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used.

Data Governance 52

Data Governance Government Data Architecture Data Management 52

Tim Mitchell

JUNE 7, 2021

Specifically, I’d like to chat with you about the virtual space where your data architecture team, software developers, and information curators do their development and testing work. Let’s talk about your development environment.

Data Architecture 130

Data Architecture 130

Dataversity

MAY 16, 2022

In the context of a large system integration project, we are talking about awareness of: 1) Data Quality expectations and metrics, 2) Enterprise Data Management plan, 3) Data Governance best practices, 4) data risk factors, 5) Data Governance framework, 6) data owners/data consumers, 7) Data Architecture principles, 8) […].

Data Governance 130

Data Governance Government Data Architecture Data Quality 130

The Data Administration Newsletter

NOVEMBER 1, 2022

Many software developers distrust data architecture practices such as data modeling. They associate these practices with rigid and bureaucratic processes causing significant upfront planning and delays.

Data Modelling 64

Data Modelling Data Architecture Planning Data Management 64

Timo Elliott

NOVEMBER 22, 2022

Of course, in the end, we want a consistent and integrated data architecture across the whole enterprise. Do we want to give that up and allow each individual to make adjustments to processes or establish their own? The good news is you can balance the two: the agility and standardization. “How does that look like in practice?

Agile 303

Agile Procurement Vision Digital 303

Domo

MARCH 2, 2021

Modern BI for all begins by shrinking the time between the ingestion of data and the insight it generates. This requires a new approach to data architecture—one that decentralizes data ownership and puts more power into the hands of domain experts.

Data Architecture 89

Data Architecture Data Warehouse Big Data 89

Smart Data Collective

SEPTEMBER 15, 2021

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated.

Real-time Data 268

Real-time Data Customer Experience Customer Experience Data Architecture 268

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 246

Data Warehouse E-Commerce Real-time Data Data Architecture 246

Tableau

JULY 28, 2021

It’s become clear that our customers love the experience and understand how Tableau and Dremio together improve the analytic experience on their data lake.

Cloud Computing 98

Cloud Computing Data Architecture Data Analytics Data Analytics 98

BizAcuity

APRIL 1, 2023

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs.

Data Warehouse 130

Data Warehouse E-Commerce Real-time Data Data Architecture 130

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

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

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

BizAcuity

MAY 24, 2022

Companies develop data ecosystems on the cloud, the data architecture is now independent of on-premise systems. Cloud-first strategy is much more cost-effective than on-premise undertakings. All-in or Cloud native: Bid adieu to on-premise altogether.

IBM Support 130

IBM Support IBM Maintenance IBM cost Digital Transformation 130

Tableau

JULY 28, 2021

It’s become clear that our customers love the experience and understand how Tableau and Dremio together improve the analytic experience on their data lake.

Cloud Computing 52

Cloud Computing Data Architecture Data Analytics Data Analytics 52

BizAcuity

APRIL 6, 2022

Data warehousing, data integration and BI systems: The KPIs and data architecture that crypto casinos need to track alter slightly from what regular onlines casinos keep track of. Not using AI for predicting crypto price movements can be an extremely risky measure in the current financial climate.

Data Analytics 130

Data Analytics Data Analytics Data Architecture Digital 130

Astera

NOVEMBER 30, 2023

Here are some key reasons why Data Vault 2.0 was needed: Evolving Data Ecosystems: Data Vault 1.0 was developed in the early 2000s when data ecosystems were simpler and less complex compared to today. With the advent of big data, cloud computing, and advanced analytics, data architectures have become more intricate.

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Smart Data Collective

AUGUST 9, 2019

Chris Dyl, director of platform for Epic, referred to the company’s Amazon S3 deployment as its “data lake” during his talk at AWS Summit just this month. The reference is one piece of evidence that data lakes are not only useful pieces of data architecture but are also crucial building blocks.”.

Big Data 193

Big Data Data Architecture Data Analytics Data Analytics 193

Actian

SEPTEMBER 26, 2019

Catch Paul Wolmering in room 1A04/05 at 1:15pm to hear more about “Next-generation serverless data architecture for insights at the speed of thought.” ” The post Observations from Strata Data Conference appeared first on Actian.

Data Architecture 40

Data Architecture Data Analytics Data Analytics 40

Tableau

JUNE 13, 2022

The program rapidly gained momentum, fueling productivity and excitement around analytics and fostering a strong Data Culture within the organization.

Chief Data Officer 77

Chief Data Officer Government Data Discovery Data Architecture 77

Tableau

JUNE 8, 2021

Extract or live connection: The hybrid data architecture in Tableau provides two modes for interacting with data in the lakehouse—via a live connection or an in-memory extract—easily switching between the two with a toggle in the browser.

Innovation 91

Innovation Data Warehouse Data Architecture Visualization 91

Cprime

MARCH 28, 2024

Simplified, trustworthy data architectures and cloud-native solutions are examples of how organizations can support their developers, enabling them to focus on innovation rather than getting bogged down by technical debt or legacy systems.

Digital Transformation 104

Digital Transformation Innovation Agile Digital 104

Tableau

JUNE 13, 2022

The program rapidly gained momentum, fueling productivity and excitement around analytics and fostering a strong Data Culture within the organization.

Chief Data Officer 71

Chief Data Officer Government Data Discovery Data Architecture 71

Dataversity

MARCH 4, 2024

Companies are currently in the midst of a significant paradigm shift, where they are faced with the decision to either over-complicate their data architecture or opt for a single cloud solution.

Data Architecture 144

Data Architecture Data Management 144

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.

Agile 52

Agile Data Warehouse Data Quality Government 52