Smart Data Collective

OCTOBER 27, 2021

Snowflake provides the right balance between the cloud and data warehousing, especially when data warehouses like Teradata and Oracle are becoming too expensive for their users. It is also easy to get started with Snowflake as the typical complexity of data warehouses like Teradata and Oracle are hidden from the users. .

Data Warehouse 286

Data Warehouse Business Intelligence Business Intelligence Agile 286

Simplilearn

SEPTEMBER 28, 2022

Google's BigQuery is a serverless, scalable, and cheap multi-cloud data warehouse created for enterprise agility. Of course, you can also integrate with your data warehouse or statistical tool to import your data and then work with it, but that will cost you even more time.

Data Warehouse 130

Data Warehouse Agile 130

Actian

FEBRUARY 17, 2020

Your users are happy, but management is starting to ask questions about what’s next and how they can pull together the data from across different systems to drive real-time decision making across your operations. You need a real-time connected data warehouse. Why You Need a Connected Data Warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Actian

MAY 28, 2019

Data Warehouse-as-a-Service (DWaaS) is a modern solution to address the data management challenges of today’s companies. Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. Anatomy of Data Warehouse-as-a-Service.

Data Warehouse 40

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 40

Leading Agile

MARCH 14, 2019

In one of my recent Certified Scrum Master classes I had a number of students who were working on projects involving migrating from a legacy data warehouse to new data warehouses. Here are two examples of the data related topics that showed up in the Parking Lot: How do I apply Scrum to data factory?

Data Warehouse 60

Data Warehouse Agile 60

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Dataversity

FEBRUARY 8, 2022

Every generation of data infrastructure technology has promised more speed and agility, or better standardization, centralization, and control. The post How to Combine Agility and Control with Data Convergence appeared first on DATAVERSITY. Essentially, […].

Agile 130

Agile Government Data Warehouse Data Architecture 130

Actian

FEBRUARY 13, 2020

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? The first article looked at manufacturing operations and integrating data across your supply chain.

Data Warehouse 40

Data Warehouse Supply Chain Enterprise Architecture Digital Transformation 40

BizAcuity

APRIL 1, 2023

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. The BYNET interconnect supports up to 512 nodes.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

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

BizAcuity

SEPTEMBER 22, 2022

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. Not being an agile cloud data warehouse.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Actian

JULY 26, 2019

Unfortunately , this wise saying is not nearly applied as often as it should be to the contemporary topic of data warehouse modernization project design and execution. The result, thousands of data warehouse modernization projects unnecessarily end up in failure. How to get started? .

Data Warehouse 40

Data Warehouse Agile Planning 40

Timo Elliott

DECEMBER 14, 2022

Everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. The industry analysts all have a similar vision of what that agile future of business looks like. So how do organizations do that? So innovation has to mean business! Business Process.

Innovation 262

Innovation Artificial Intelligence Data Warehouse Government 262

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 Healthcare Big Data Data Governance 52

Astera

JANUARY 29, 2024

It challenges organizations to rethink their entire data lifecycle, especially within data warehouses and during data migration projects. Rainardi highlights a critical operational aspect: the retention period of personal data.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

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

Actian

MAY 22, 2019

When most company leaders think about their data warehouse and the systems connected to it, they typically think about their internal IT systems. For companies with outsourced supply chains, real time integration with their suppliers’ systems and data warehouse can enable better insights, better security and more supply-chain agility.

Supply Chain 40

Supply Chain Agile Data Warehouse Monitoring 40

Sisense

JULY 7, 2020

A modern data experience means organizations should be able to: Connect to any dataset, live or cached, wherever it resides Analyze data in any environment, whether it’s code-first, low code, or no code Deploy anywhere: In the cloud, on-prem, or hybrid Embed analytics anywhere.

Data Warehouse 92

Data Warehouse Agile Data Modelling Innovation 92

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

Data Warehouse Big Data Data Architecture Data Management 147

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 92

Innovation Data Warehouse Data Architecture Visualization 92

Timo Elliott

MARCH 6, 2023

To address this, a digital business platform is needed, which is a solid foundation of technology to enable agile and flexible innovation. However, analysts say that 30% of digital transformation projects fail to deliver on their expected outcomes due to fragmentation in existing systems.

Artificial Intelligence 277

Artificial Intelligence Innovation Supply Chain Logistics 277

Astera

DECEMBER 14, 2022

Kimball-style dimensional modeling has been the go-to architecture for most data warehouse developers over the past couple of decades. The questions that arise, however, are the following: How easy is it to load and maintain data in fact and dimension tables? And Is it worth the effort? Do you realize what that would require?

Data Warehouse 52

Data Warehouse Data Modelling Business Intelligence Business Intelligence 52

Smart Data Collective

MARCH 21, 2022

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. The Benefits of Data Mesh.

Data Management 166

Data Management Government Data Warehouse Big Data 166

Astera

NOVEMBER 13, 2023

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. In this blog, we will discuss everything about a modern data warehouse including why you should invest in one and how you can migrate your traditional infrastructure to a modern data warehouse.

Data Warehouse 52

Data Warehouse Real-time Data Planning Agile 52

Timo Elliott

JUNE 19, 2023

So analysts like Gartner talk about the composable enterprise, where we can create new end-to-end business workflows in a more modular, agile, and flexible way simply by putting together LEGO bricks, if you like, to create end-to-end workflows and processes. The next area is data. There’s a huge disruption around data.

Innovation 264

Innovation Digital Transformation Digital Government 264

Actian

JANUARY 7, 2019

This is the essence of business agility. Historical reports and batch data from last night or last week don’t provide leaders with the information and actionable insights they need to lead the company effectively – they need real-time data (and plenty of it!). What it means to be agile. Agility requires real-time data.

Real-time Data 40

Real-time Data Agile Supply Chain Data Warehouse 40

Sisense

APRIL 17, 2020

Identifying the exact data you need to solve a singular problem results in a perfect candidate to go into your warehouse on the first cycle. Namely, not in a mature business unit, but in an agile, fast-reacting department that reports to a Chief Innovation Officer or similar highly-placed exec.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Smart Data Collective

JULY 20, 2021

This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes. It is one of the powerful big data integration tools which marketing professionals use. This next-generation integration platform offers the scalability and agility required by businesses.

Big Data 353

Big Data Documentation Logistics Data Warehouse 353

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

JANUARY 19, 2024

Shortcomings in Complete Data Management : While MuleSoft excels in integration and connectivity, it falls short of being an end-to-end data management platform. Notably, MuleSoft lacks built-in capabilities for AI-powered data extraction and the direct construction of data warehouses.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 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

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

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 95

Data Warehouse Government Artificial Intelligence Data Discovery 95

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 93

Data Warehouse Government Artificial Intelligence Data Discovery 93

ElegantJ BI

OCTOBER 1, 2020

Instead, the average business user can gather and prepare data on their own with clear insight into the sources and methods so that the outcome meets requirements. What the business needs is a tool that allows users to prepare and analyze data and satisfy the needs of today.

Data Discovery 130

Data Discovery Data Warehouse Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 1, 2020

Instead, the average business user can gather and prepare data on their own with clear insight into the sources and methods so that the outcome meets requirements. What the business needs is a tool that allows users to prepare and analyze data and satisfy the needs of today.

Data Discovery 130

Data Discovery Data Warehouse Government Business Intelligence 130

Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Best Practices to Build Your Data Warehouse .

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52