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.

Artificial Intelligence 278

Artificial Intelligence Innovation Supply Chain Logistics 278

Astera

NOVEMBER 1, 2023

It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

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. This results in less joins between the metric data in fact tables, and the dimensions. So let’s dive in! OLTP vs OLAP.

Data Warehouse 78

Data Warehouse Data Architecture Planning Big Data 78

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

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

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. Collect user resource usage detail data.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

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

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

APRIL 7, 2023

Finally, the stored data is retrieved at optimal speeds to support efficient analysis and decision-making. Essentially, a data warehouse also acts as a centralized database for storing structured, analysis-ready data and giving a holistic view of this data to decision-makers.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

APRIL 13, 2023

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

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

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

Smart Data Collective

JULY 22, 2019

For this reason, businesses of every scale have tons of metrics they monitor, organize and analyze. In many cases, data processing includes manual data entrance , painful hours of calculations and stats drafting. It can analyze practically any size of data. All of these hours cause significant financial losses.

Business Intelligence 259

Business Intelligence Business Intelligence Visualization Real-time Data 259

BizAcuity

APRIL 1, 2023

So to achieve the benefits of consolidation, Company B’s billing system must be integrated into Company A’s billing system which can be easily done by Informatica Informatica tool for Data Warehousing: Companies establishing their warehouses of data will need ETL to transfer the data to the warehouse from the Production system.

Data Warehouse 130

Data Warehouse Documentation Government Monitoring 130

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

JULY 17, 2019

If your company has existed for a number of years, then you likely have multiple databases, data marts and data warehouses, developed for independent business functions, that now must be integrated to provide the holistic perspective that digitally transformed business processes require. Why are distributed queries problematic?

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

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. Data Mesh is gaining a stronger foundation. The mesh is highly secure.

Data Management 189

Data Management Government Data Warehouse Big Data 189

Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

ElegantJ BI

APRIL 29, 2012

You have to monitor results and make quick changes to ensure appropriate market response. Success depends on rapid, reliable decisions and your confidence in the information you use to make those decisions! Competition and market conditions are ever-changing! Are you the original Doubting Thomas? Don’t be that stubborn skeptic!

Data Warehouse 100

Data Warehouse Monitoring Agile Planning 100

Domo

APRIL 30, 2021

Data integration, not application integration. Organizations need the ability to integrate all data sources—clouds, applications, servers, data warehouses, etc. Enterprises may try to resolve the data integration issue through application integration and system orchestration. Governance and control. Performance.

Data Warehouse 98

Data Warehouse Artificial Intelligence Government Digital Transformation 98

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

Actian

OCTOBER 29, 2019

When it comes to data management and data warehouse solutions, right now is the best time to move forward on modernization. Legacy data warehouse systems are aging. Modern data warehouse solutions are mainstream tech. Data warehousing and analytics aren’t just about the warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Finance 40

Astera

JANUARY 29, 2024

. “Data privacy is a data discipline that needs to be governed. If the people working on governance handle privacy, they’ll work on identifying where private data lives, understand privacy rules, communicate to data users, and monitor adherence to privacy rules,” Albert adds.

Government 145

Government Data Warehouse Data Governance Digital 145

ElegantJ BI

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

ElegantJ BI

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

ElegantJ BI

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

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

BizAcuity

DECEMBER 28, 2022

Informatica tool for Data Warehousing: Companies establishing their warehouses of data will need ETL to transfer the data to the warehouse from the Production system. Typical actions required in data warehouses are: Data warehouses put information from many sources together for analysis.

Data Warehouse 100

Data Warehouse Documentation Government Monitoring 100

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 100

Business Intelligence Business Intelligence Finance Data Warehouse 100

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. Monitor and analyze financial results and statements on a periodic and ongoing basis.

Business Intelligence 100

Business Intelligence Business Intelligence Finance Data Warehouse 100

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

ElegantJ BI

AUGUST 10, 2016

It can monitor and manage Sarbanes-Oxley Act SOX controls, and data security and access rights controls, and establish key reports and automated processes to alert the business to issues when a threshold is crossed, or an issue is identified.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

It can monitor and manage Sarbanes-Oxley Act SOX controls, and data security and access rights controls, and establish key reports and automated processes to alert the business to issues when a threshold is crossed, or an issue is identified.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

Gather, monitor and analyze data for Profit and Loss, Balance Sheets, Cash Flows and other standard reports. The team can also monitor data warehouses, legacy systems and best-of-breed solutions and identify redundant data, performance issues, data parameters, or data integrity issues.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

Analysts Corner

JUNE 18, 2023

ETL Developer: Defining the Role An ETL developer is a professional responsible for designing, implementing, and managing ETL processes that extract, transform, and load data from various sources into a target data store, such as a data warehouse. Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

BizAcuity

AUGUST 1, 2022

Jaspersoft is particularly resourceful as a cost-effective big data analytics solution that can connect with and present information for Cassandra Analytics, MongoDB Analytics, Hadoop Analytics, among many others. Reports and dashboards can be generated directly from the data warehouse or data lake.

IBM Support 130

IBM Support IBM cost IBM Maintenance Big Data 130