Analysts Corner

MARCH 30, 2025

This success story was presented by Dmitry Ratushnyak, Global Lead of Data Engineering. First, since Unileverthe parent company of Lipton before it was spun offhad already been using Databricks, there was no need to migrate to another data lakehouse provider.

Government 130

Government Data Warehouse Cloud Computing Artificial Intelligence 130

Simplilearn

DECEMBER 27, 2022

Dimensions are present in a normalized form in multiple related tables in the snowflake schema. One of the many variations of the star schema is the snowflake schema. The centralized fact table is linked to multiple dimensions in this case. Read More.

Data Warehouse 147

Data Warehouse 147

BI Insight

JANUARY 18, 2016

Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI. The post Webinar: Visualising Your Azure SQL Data Warehouse with Power BI appeared first on BI Insight. You can register and subscribe for Pass upcoming events here.

Data Warehouse 100

Data Warehouse Business Intelligence Business Intelligence Data Visualization 100

Sisense

MARCH 19, 2019

To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. Amazon’s Redshift data warehouse tools offer such a blend of features, but even so, it’s important to understand what it brings to the table before making a decision to integrate the system.

Data Warehouse 94

Data Warehouse Business Intelligence Business Intelligence Data Requirement 94

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Data Management 247

Data Management Data Warehouse Master Data Management Digital Transformation 247

Timo Elliott

OCTOBER 3, 2019

Many presenters took the opportunity to remind the audience about some of the underlying global trends that are both forcing and enabling innovation. Thankfully, most avoided this kind of opening, which plagues analytics presentations to this day! “Did you know there’s more data THAN EVER BEFORE?!

Data Warehouse 174

Data Warehouse Digital Transformation Innovation Digital 174

BizAcuity

FEBRUARY 1, 2019

The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse. One of the many things that data warehouses allow is the chronological sifting of data.

Data Warehouse 183

Data Warehouse Business Intelligence Business Intelligence Planning 183

Smart Data Collective

APRIL 15, 2021

Set Up Data Integration. Data warehouses, a database that keeps the information in a processed and defined format, cannot connect directly to information sources, so data integration tools must process the raw data ahead of time to allow it to be usable. Laying out these components will be helpful down the line.

Business Intelligence 271

Business Intelligence Business Intelligence Data Warehouse Documentation 271

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. If it’s not done right away, then later.

Documentation 326

Documentation Data Visualization Data Mining Visualization 326

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. Data warehouse vs. databases.

Data Warehouse 52

Data Warehouse Skillset 52

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Smart Data Collective

JUNE 7, 2019

Using sensors, RFID tags and other tools can help deal with the flow of data in near real time. Volume – Companies gather data from different sources such as business transactions, social media, and other relevant data. It’s also a method of constant processing that takes place when big data is streaming into the system.

Big Data 260

Big Data Real-time Data Data Warehouse Innovation 260

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

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. Figuring out how to apply Scrum to the work they were doing presented a number of challenges and left some open questions.

Data Warehouse 60

Data Warehouse Agile 60

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 7, 2023

Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities. By bringing together this data, from sources such as CRMs, medical records, etc.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 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. The BYNET interconnect supports up to 512 nodes.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Analysts Corner

JANUARY 30, 2025

A more holistic view would help with interdepartmental collaboration, understanding which processes and systems fit together, and presenting opportunities for drastically simplifying and improving the organization. Difficult to maintain , which means they will grow outdated ratherquickly. How can you get everyone on the samepage?

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Visualization Enterprise Architecture Business Intelligence Business Intelligence 130

Analysts Corner

OCTOBER 26, 2023

Business Intelligence (BI) is a set of tools, technologies, and practices that transform raw data into meaningful and actionable information, empowering organizations to make informed decisions, optimize processes, and drive better business outcomes.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

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

Domo

JANUARY 7, 2025

We need to start where every great AI solution begins: data. With over 1,000 pre-built connectors, Domos data foundation makes it easy to tap into your data wherever it lives. AI Chat not only gives your data a voice but can also tell stories. Traditional workflows are like trains on a trackpredictable but rigid.

IBM Support 75

IBM Support IBM Maintenance Artificial Intelligence Data Warehouse 75

Sisense

APRIL 17, 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. Why use a materialized view?

Data Warehouse 90

Data Warehouse Visualization 90

Juice Analytics

NOVEMBER 11, 2021

The symptoms we see are varied: lack of management support, lack of end-user adoption; poorly defined requirements; data warehouse projects that never seem to finish. And for each of these problems, the data industry has crafted different “solutions” or technologies to try to address them. We’ve got a lot to share in this area.

Data Warehouse 137

Data Warehouse 137

ElegantJ BI

JUNE 17, 2015

The two-day summit was packed with keynotes, workshops, presentations, seminars, networking and, yes, lots and lots of good food that probably added 1000 calories to the average attendee’s diet and couple of centimeters to their waistline!

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

The two-day summit was packed with keynotes, workshops, presentations, seminars, networking and, yes, lots and lots of good food that probably added 1000 calories to the average attendee’s diet and couple of centimeters to their waistline!

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

The two-day summit was packed with keynotes, workshops, presentations, seminars, networking and, yes, lots and lots of good food that probably added 1000 calories to the average attendee’s diet and couple of centimeters to their waistline! Do We Still Need a Data Warehouse – Roxanne Edijali.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

BI Insight

JANUARY 25, 2016

In the previous post I announced that I will speak in “Visualising Your Azure SQL Data Warehouse with Power BI” webinar on 23 Jan 2016. The webinar host was Pass Business Intelligence Virtual Chapter. It was such an amazing experience for me to speak in the webinar and I would like to thank all 105 attendees.

Data Warehouse 100

Data Warehouse Business Intelligence Business Intelligence Data Visualization 100

BI Insight

JANUARY 25, 2016

In the previous post I announced that I will speak in “Visualising Your Azure SQL Data Warehouse with Power BI” webinar on 23 Jan 2016. The webinar host was Pass Business Intelligence Virtual Chapter. It was such an amazing experience for me to speak in the webinar and I would like to thank all 105 attendees.

Data Warehouse 100

Data Warehouse Business Intelligence Business Intelligence Data Visualization 100

BizAcuity

AUGUST 1, 2022

With Jaspersoft, businesses can create multiple types of reports and subreports from any and all kinds of data sources with ease and flexibility. Businesses can build client-facing customer reports that present data textually and graphically. 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

Analysts Corner

AUGUST 13, 2023

The Process of Data Profiling The data profiling process typically involves the following steps: 1. Data Collection: The first step is to gather data from various sources. This could include databases, data warehouses, file systems, or external data feeds.

Data Quality 130

Data Quality Data Warehouse Data Discovery Innovation 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

MAY 16, 2022

The more effectively a company uses data, the better it performs. Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. Integrating data allows you to perform cross-database queries, which like portals provide you with endless possibilities. Data mining.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Insight Software

JANUARY 20, 2021

Because it is not always practical to migrate detailed transactional information when moving to a new ERP system, many businesses make do with a workaround or simply do without, excluding valuable legacy data from their current reporting systems. When you involve multiple software systems, multiple data models are inevitably present as well.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95