ElegantJ BI

APRIL 28, 2021

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

APRIL 28, 2021

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise. Data Warehouse.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 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

Dataversity

FEBRUARY 1, 2021

In Part 1 and Part 2 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […].

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Data Quality 147

Dataversity

JANUARY 11, 2021

In Part 1 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […].

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Data Quality 147

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

APRIL 27, 2023

Data Lake Vs Data Warehouse Every business needs to store, analyze, and make decisions based on data. To do this, they must choose between two popular data storage technologies: data lakes and data warehouses. What is a Data Lake? What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Cloud Computing Data Management Data Governance 52

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. And where does all this data live?

Data Warehouse 52

Data Warehouse Skillset 52

Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Analysts Corner

JUNE 18, 2023

In today’s data-driven world, organizations increasingly rely on large volumes of data from various sources to make informed decisions. This article will provide an in-depth and up-to-date comparison of ETL and ELT, their advantages and disadvantages, and guidance for choosing the right data integration strategy in 2023.

Data Warehouse 130

Data Warehouse IBM Maintenance IBM Support Data Quality 130

Sisense

MARCH 19, 2019

Choosing the right solution to warehouse your data is just as important as how you collect data for business intelligence. To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. So, what are the benefits of switching data storage to Redshift data warehouses?

Data Warehouse 94

Data Warehouse Business Intelligence Business Intelligence Data Requirement 94

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

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Every organization needs data to make many decisions.

Data Warehouse 283

Data Warehouse Business Intelligence Business Intelligence Agile 283

Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. One of the most lucrative ways to do this is through data warehousing.

Data Warehouse 333

Data Warehouse Big Data Business Intelligence Business Intelligence 333

Smart Data Collective

MAY 16, 2022

Data is becoming more important to modern organizations than ever before. One poll found that 74% of companies feel they are still struggling to use data effectively. One of the problems is that they don’t manage their data well. How Companies Can Manage their Data Better.

Data Management 318

Data Management Data Mining Data Warehouse Data Modelling 318

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

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. For this reason, Snowflake is often the cloud-native data warehouse of choice.

Data Warehouse 130

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

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

Actian

FEBRUARY 17, 2020

You’ve been doing the “digital transformation” thing for a couple of years – integrating your business and IT processes and leveraging technology and data in new ways to drive greater operational efficiency and immersive customer experiences. You need a real-time connected data warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

BizAcuity

APRIL 1, 2023

Introduction Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. Data Vault Architecture  A data vault follows a three-layered architecture containing the raw, business, and information vault.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

BizAcuity

SEPTEMBER 22, 2022

Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. Data disk space allocation.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Astera

JANUARY 29, 2024

As we approach Data Privacy Day on January 28th, it’s crucial to recognize the significance of enterprise data privacy in our increasingly digital world. Data privacy is a fundamental aspect that businesses, especially those dealing with vast amounts of data, must ensure to protect sensitive information.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

Analysts Corner

OCTOBER 26, 2023

Mastering Business Intelligence: Comprehensive Guide to Concepts, Components, Techniques, and Examples Introduction to Business Intelligence In today’s data-driven business environment, organizations must leverage the power of data to drive decision-making and improve overall performance.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Astera

FEBRUARY 26, 2024

Azure SQL Data Warehouse, now called Azure Synapse Analytics, is a powerful analytics and BI platform that enables organizations to process and analyze large volumes of data in a centralized place. However, this data is often scattered across different systems, making it difficult to consolidate and utilize effectively.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Documentation 52

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

Actian

JULY 26, 2019

So, you have made the business case to modernize your data warehouse. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling. Good choice! Want all the details? Want all the details? Check out the full case study here.

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

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.

Data Warehouse 40

Data Warehouse Agile Planning 40

Actian

OCTOBER 23, 2018

Data warehouses have been around for decades, and have established themselves as reliable reporting systems with consistent value. They have also evolved into data marts, specialized appliances and EDW variants to meet emerging needs, but all of these solutions have their drawbacks when it comes to meeting today’s business demands.

Data Warehouse 40

Data Warehouse Data Discovery 40

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.

Big Data 352

Big Data Documentation Logistics Data Warehouse 352

Smart Data Collective

APRIL 15, 2021

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports. Set Up Data Integration. Pitch to Key Players.

Business Intelligence 242

Business Intelligence Business Intelligence Data Warehouse Documentation 242

Timo Elliott

JANUARY 3, 2022

Back in the 1960s, a pair of radio astronomers were busily collecting data on distant galaxies. But what set these astronomers apart – and eventually earned them a Nobel Prize – was what they eventually found in the data. Opportunities for key insights are often buried in a vast universe of dormant information known as “dark data.”.

Data Quality 358

Data Quality Data Warehouse Innovation Planning 358

Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. So, in case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

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, It supersedes Data Vault 1.0,

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. 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. Data organization. Determine your preparedness.

Data Warehouse 251

Data Warehouse Big Data Data Analytics Data Analytics 251

Astera

FEBRUARY 9, 2024

What if you could save up to 91% on coding and data preparation time, 80% on data pipeline building time, and 65% on tool costs? To do this, BankX must collect and analyze data from multiple sources, such as its internal databases, external credit bureaus, and third-party data providers. Let’s explore how!

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Sisense

JULY 8, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. 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.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90