Dataversity

DECEMBER 7, 2020

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

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Data Warehouse Data Discovery Business Intelligence Business Intelligence 225

Dataversity

APRIL 21, 2022

SaaS apps are data-intensive, generating and accessing massive volumes of data in real time. Because of that, most organizations build SaaS apps on data warehouses instead of HTAP databases. For one, since SaaS apps operate on larger volumes of data, data warehouses […].

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Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. The post A Bridge Between Data Lakes and Data Warehouses appeared first on DATAVERSITY.

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Dataversity

MARCH 1, 2021

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Each business often uses one or more data […].

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Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

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Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

Data Warehouse 130

Data Warehouse Data Governance Government Data Architecture 130

ElegantJ BI

APRIL 28, 2021

In the second of these two articles entitled, ‘Factors and Considerations Involved in Choosing a Data Management Solution’, we discuss the various factors and considerations that a business should include when it is ready to choose a data management solution. Data Warehouse. Data Lake.

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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 .

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Data Warehouse Data Architecture Agile Data Modelling 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?

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Data Warehouse Business Intelligence Business Intelligence Data Mining 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?

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Data Warehouse Data Management Cloud Computing Data Governance 52

Simplilearn

MAY 9, 2021

A data warehouse allows us to manage the collected data, which can, in turn, helps in providing significant business insights. It is an essential Business Intelligence (BI) field, and this makes Data Warehouse Analysis one of the most sought-after career options today.

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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.

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Data Warehouse Data Management Healthcare Data Quality 52

Dataversity

FEBRUARY 1, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3 appeared first on DATAVERSITY.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Data Quality 147

Dataversity

JANUARY 11, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2 appeared first on DATAVERSITY.

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Data Warehouse Business Intelligence Business Intelligence Data Architecture 147

Insight Software

APRIL 19, 2021

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

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Data Warehouse Business Intelligence Business Intelligence Documentation 98

Domo

DECEMBER 9, 2020

Data federation makes it simple to seamlessly integrate Domo into your existing infrastructure without a lot of implementation time, expense, or hassle. This allows you to optimize your data warehouse investments without having to recreate anything from scratch. With data federation, you can: Avoid data duplication.

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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.

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Data Warehouse Business Intelligence Business Intelligence Data Analytics 52

Simplilearn

DECEMBER 27, 2022

Enterprises utilize data to optimize practically all business operations today. Traditional databases, on the other hand, do not meet the shifting demands of data analysis, which need access to big data for visualization and reporting. Dated databases enable improved performance while managing little transactional data at speed.

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BI Insight

OCTOBER 19, 2015

Without a doubt cloud computing is going to change the future of data analytics and data visualisation very significantly. Microsoft Azure SQL Data Warehouse recently released for public preview. The post Azure SQL Data Warehouse and Power BI appeared first on BI Insight.

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BI Insight

JULY 27, 2016

A while ago I wrote a blog post about Azure SQL Data Warehouse and Power BI which I explained how to install a new instance of Azure SQL Data Warehouse and how to visualise your Azure SQL DW data in Power BI. The post Query Azure SQL Data Warehouse in SSMS and SSDT appeared first on BI Insight.

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Data Warehouse 130

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.

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Simplilearn

DECEMBER 27, 2022

In the modern day, data platforms are an essential component of business success. Organizations that make greater use of their data have a significant edge over their competition. Making use of data is easier said than done. Read More.

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Data Warehouse 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.

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Data Warehouse Data Modelling Cloud Computing Visualization 52

Astera

NOVEMBER 17, 2022

Most enterprises out there rely on a data warehouse as a single source of truth — a consolidated data repository that serves as a reporting layer for companies to identify trends and gain valuable business insights. If you want to explore the agile way to build your data warehouse, reach us at sales@astera.com today.

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Data Warehouse Data Modelling Agile Data Management 52

The Data Administration Newsletter

APRIL 6, 2021

A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses.

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Data Warehouse Data Modelling Business Intelligence Business Intelligence 52

Simplilearn

DECEMBER 27, 2022

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. Dimensions are present in a normalized form in multiple related tables in the snowflake schema. When the dimensions of a star schema are detailed and highly structured, with several levels of relationsh.

Data Warehouse 130

Data Warehouse 130

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.

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BI Insight

JULY 27, 2016

A while ago I wrote a blog post about Azure SQL Data Warehouse and Power BI which I explained how to install a new instance of Azure SQL Data Warehouse and how to visualise your Azure SQL DW data in Power BI. The post Query Azure SQL Data Warehouse in SSMS and SSDT appeared first on BI Insight.

Data Warehouse 100

Data Warehouse 100

BI Insight

OCTOBER 19, 2015

Without a doubt cloud computing is going to change the future of data analytics and data visualisation very significantly. Microsoft Azure SQL Data Warehouse recently released for public preview. The post Azure SQL Data Warehouse and Power BI appeared first on BI Insight.

Data Warehouse 100

Data Warehouse Cloud Computing Data Analytics Data Analytics 100

Sisense

APRIL 9, 2021

Until then though, they don’t necessarily want to spend the time and resources necessary to create a schema to house this data in a traditional data warehouse. Instead, businesses are increasingly turning to data lakes to store massive amounts of unstructured data. The rise of data warehouses and data lakes.

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Dataversity

DECEMBER 15, 2021

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. For example, most data warehouses […].

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Dataversity

MAY 6, 2022

An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […].

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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.

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Data Warehouse Business Intelligence Business Intelligence Data Requirement 94

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.

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Data Warehouse Business Intelligence Business Intelligence Data Visualization 100

Dataversity

MAY 26, 2023

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

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Simplilearn

DECEMBER 27, 2022

Fact tables and dimension tables are key components of a schema in a data warehouse. A fact table contains records that combine attributes from different dimension tables. These records allow users to analyze different aspects of their business, which can aid in decision-making and improving the business. Read More.

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Data Warehouse 235

Simplilearn

OCTOBER 27, 2021

Most of us know what an architect does. They’re trained professionals who design office buildings, homes, and other essential structures. Architects use their imagination and skills to come up with a blueprint for the builders to follow. Meanwhile, in the intangible world of IT, architects have a similar role, except they design virtual resource.

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Data Warehouse 130