erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Jet Global

OCTOBER 7, 2020

Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

IBM Big Data Hub

SEPTEMBER 27, 2023

The average cost of a data breach set a new record in 2023 of USD 4.45 Security leaders must proactively address the expanding attack surface and bolster their threat detection and response (TDR) strategy to significantly reduce the risk of costly data breaches.

Cost-Benefit 93

Cost-Benefit OLAP Dashboards Visualization 93

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads.

Analytics 110

Analytics Data Warehouse Dashboards Testing 110

Jet Global

JULY 29, 2020

Users who transferred from premier to extended support did not have the benefit of being certified with most new third-party products/versions (such as web browsers and Windows 10), or more new Oracle products. Exploring user- and cost-friendly next-generation reporting alternatives. But does OBIEE stack up?

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Jet Global

AUGUST 14, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

JANUARY 15, 2021

These benefits come with a caveat, however. In this respect, we often hear references to “switching costs” and “stickiness.” When the cost of switching to a new product is high, customers tend to remain where they are. Ultimately, though, switching costs are not so much about absolute numbers as they are about relative costs.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Sisense

FEBRUARY 16, 2021

Data warehouses have become intensely important in the modern business world. For many organizations, it’s not uncommon for all their data to be extracted, loaded unchanged into data warehouses, and then transformed via cleaning, merging, aggregation, etc. OLTP does not hold historical data, only current data.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

FineReport

FEBRUARY 28, 2020

The underlying data is responsible for data management, including data collection, ETL, building a data warehouse, etc. In the end, display data insights such as reports and visual charts through data presentation. To avoid errors of data formats, you can set conditions to verify and check the data.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

erwin

AUGUST 15, 2022

Static over-provisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So, you really should get familiar with your cloud provider’s sizing vs. cost calculator. A sample data warehousing project. I was pricing for a data warehousing project with just 4 TBs of data, small by today’s standards.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Domino Data Lab

JULY 2, 2019

Moreover, they can be replaced with machine learning models to improve performance dramatically: “We have demonstrated that machine learned models have the potential to provide significant benefits over state-of-the-art indexes, and we believe this is a fruitful direction for future research.” That represents runtime overhead.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Jet Global

OCTOBER 2, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As the cost benefit ratio of BI has become more and more attractive, the pace of global business has also accelerated.

Business Intelligence 52

Business Intelligence OLAP Sales Data Warehouse 52

Jen Stirrup

OCTOBER 30, 2022

One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing). Historical analytics can help to support the marketing process, which can also be augmented by predictive analytics, alternatively known as data mining, which can help to identify patterns in customer behavior.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes. Because of its distributed nature, Presto scales for petabytes and exabytes of data.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

Jet Global

MAY 1, 2023

Now, Delta managers can get a full understanding of their data for compliance purposes. Additionally, with write-back capabilities, they can clear discrepancies and input data. These benefits provide a 360-degree feedback loop. In this new era, users expect to reap the benefits of analytics in every application that they touch.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 6, 2022

Their combined utility makes it easy to create and maintain a complete data warehouse solution with very little effort. Jet acts as the perfect conduit between your ERP data and Power BI. Jet Analytics provides data warehouse automation for fast, consistent business analytics and master data management.

Data Warehouse 52

Data Warehouse Visualization Finance Reporting 52