Timo Elliott

JANUARY 3, 2022

It’s stored in corporate data warehouses, data lakes, and a myriad of other locations – and while some of it is put to good use, it’s estimated that around 73% of this data remains unexplored. It’s easy to collect information, but it’s hard to turn it into insights.

Data Quality 359

Data Quality Data Warehouse Innovation Planning 359

Timo Elliott

OCTOBER 3, 2019

For example, Gerd Danner explained the digital core strategy of S/4HANA is key part of the journey, emphasizing that while the new platform gives you a lot more real-time analytic power, without any data duplication, you still need a data warehouse and analytics strategy over time and across different systems.

Data Warehouse 174

Data Warehouse Digital Transformation Innovation Digital 174

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Planning for the Right Data Volume. The next step in building your warehouse is to determine the number of nodes your Redshift cluster will need.

Data Warehouse 78

Data Warehouse Data Architecture Planning Big Data 78

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Government Data Governance 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

Smart Data Collective

MARCH 30, 2022

If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. Create a migration plan. It is rapidly becoming the primary choice for companies and developers due to its superior performance. Lift and shift pattern.

Data Warehouse 290

Data Warehouse Big Data Data Analytics Data Analytics 290

Insight Software

JANUARY 18, 2021

Successful migration requires considerable time, effort, and advanced planning. Fortunately, Microsoft plans to support its legacy Dynamics products (including AX) until at least 2028, but the company’s future investments in improved functionality focus on the two new Microsoft D365 products. Plan Your Data Migration.

Planning 98

Planning E-Commerce Supply Chain Finance 98

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

Timo Elliott

NOVEMBER 30, 2022

Because of technology limitations, we have always had to start by ripping information from the business systems and moving it to a different platform—a data warehouse, data lake, data lakehouse, data cloud. And the number one way that organizations turn analytics into action today is through planning processes.

Innovation 246

Innovation Vision Data Warehouse Logistics 246

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

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

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

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

Astera

FEBRUARY 28, 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 Cloud Computing Data Quality Monitoring 52

Analysts Corner

JANUARY 30, 2025

An IT manager might need to see the technical specifics behind the entire enterprises back-office systems to confirm a strategy and plan for consolidating or migrating from legacysystems. Increase organizational understanding to help with future projects and planning.

Visualization 130

Visualization Enterprise Architecture Business Intelligence Business Intelligence 130

Astera

NOVEMBER 14, 2023

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. What do you need to build an agile data warehouse?

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

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. Plan for system and table space.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Timo Elliott

MARCH 6, 2023

He highlighted technologies like SAP Data Warehouse Cloud, SAP Process Intelligence, and no-code business applications to enable business people to create their own workflows and automate processes, allowing them to work faster and more efficiently. By doing so, businesses can turn analytics into action and see immediate results.

Artificial Intelligence 278

Artificial Intelligence Innovation Supply Chain Logistics 278

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

BI Insight

AUGUST 3, 2013

release (code named “Denali”) introduces a new data warehouse query acceleration feature based on a new type of index called the columnstore. It is working based on xVelocity memory optimised technology and it improves data warehouse query performance significantly. The SQL Server 11.0

Data Warehouse 130

Data Warehouse Planning Business Intelligence Business Intelligence 130

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Astera

DECEMBER 21, 2022

Data and analytics are indispensable for businesses to stay competitive in the market. Hence, it’s critical for you to look into how cloud data warehouse tools can help you improve your system. According to Mordor Intelligence , the demand for data warehouse solutions will reach $13.32 billion by 2026. Ease of Use.

Data Warehouse 52

Data Warehouse Cloud Computing Cybersecurity Data Modelling 52

Smart Data Collective

JULY 22, 2019

Zoho Analytics is able to integrate data from a wide range of sources and turn it into a visually appealing and easy to comprehend reports for marketing, sales and other departments. Zoho has a 15-day free trial after which you can choose a subscription plan between $22,5 and $445,5 based on your company needs and budget. Yellowfin BI.

Business Intelligence 259

Business Intelligence Business Intelligence Visualization Real-time Data 259

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

ElegantJ BI

JANUARY 7, 2016

Information and data come from every corner of the enterprise, and can include databases, data warehouses, best-of-breed systems, legacy systems, and specialized systems like ERP, HR, Finance, Accounting , Warehousing and others. Every organization has to juggle information.

Business Intelligence 130

Business Intelligence Business Intelligence Finance Data Warehouse 130

Actian

JUNE 4, 2019

Implementing a data warehouse is a big investment for most companies and the decisions you make now will impact both your IT costs and the business value you are able to create for many years. Data Warehouse Cost. Your data warehouse is the centralized repository for your company’s data assets.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

Dataversity

MARCH 22, 2021

We recently read reports about plans for Talend to be acquired by Thoma Bravo, a private equity investment firm. This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. Click here to learn more about Heine Krog Iversen.

Planning 246

Planning Data Warehouse Data Modelling Data Quality 246

BizAcuity

OCTOBER 7, 2019

It also saves the organization’s licensing costs by limiting to a single data warehouse. Because of all the mergers and acquisitions, they ended up with several versions of data and information across various sources. They wanted to have a single consolidated data warehouse with unified data structures and process.

Data Warehouse 162

Data Warehouse Planning Government Monitoring 162

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

BI Insight

AUGUST 3, 2013

release (code named “Denali”) introduces a new data warehouse query acceleration feature based on a new type of index called the columnstore. It is working based on xVelocity memory optimised technology and it improves data warehouse query performance significantly. The SQL Server 11.0

Data Warehouse 100

Data Warehouse Planning Business Intelligence Business Intelligence 100

Insight Software

JANUARY 5, 2021

Fortunately, Microsoft plans to support AX for at least another eight years, but its investments in new functionality will focus on Microsoft D365 F&SCM as AX goes into maintenance mode. Yet unlike legacy data warehouse systems, Jet Analytics offers significant automation capabilities and ease of use.

Supply Chain 98

Supply Chain Data Warehouse Finance Business Intelligence 98

ElegantJ BI

APRIL 29, 2012

Let the pros help you design strategy maps and Balanced Scorecards to suit your needs, develop Key Performance Indicators to align metrics with desired results, provide project planning, monitoring and control services, integrate data sources, design data warehouse frameworks, assess training and support needs and MORE!

Data Warehouse 100

Data Warehouse Monitoring Agile Planning 100

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