erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. As with the part 1 and part 2 of this data modeling blog series, the cloud is not nirvana. Data modeling basics. Data Modeling. This blog is based upon a recent webcast that can be viewed here.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Jet Global

JUNE 5, 2019

But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. to analyze past events to forecast future events.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

AUGUST 14, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). But are those tools powered by artificial intelligence?

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

erwin

JUNE 7, 2022

Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Data modeling for the cloud: good database design means “right size” and savings. Now to cover some data modeling basics that applies no matter whether on-premises or in the cloud. Data Modeling. Business Focus.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

IBM Big Data Hub

SEPTEMBER 27, 2023

QRadar Log Insights’ AI model acts as a security analyst who knows exactly what to hunt for. QRadar Log Insights rapidly ingests, analyzes and presents data in interactive, built-in dashboards designed by cybersecurity experts. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 93

Cost-Benefit OLAP Dashboards Visualization 93

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. All data is divided into strip-shaped models in Crystal Report. Crystal Reports uses a particular cross-tab model to create cross-reports. The single-table model of Crystal Reports cannot support sharding.

Reporting 84

Reporting OLAP Dashboards Data mining 84

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries. Introduction. BTW, videos for Rev2 are up: [link]. That’s impressive.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We discuss data model design for both NoSQL databases and SQL data warehouses.

Data Warehouse 91

Data Warehouse Data Lake OLAP Cost-Benefit 91

FineReport

JULY 16, 2021

You need the ability of data analysis to aid in enterprise modeling. OLAP is a data analysis tool based on data warehouse environment. When the amount of data onto an enterprise is getting larger, the data analysis requires deeper insights and interactivity. Data Analysis. Practice of BI system.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

FineReport

APRIL 27, 2020

Dibandingkan dengan software serupa lainnya, software-software ini dapat memperkirakan data karena teknologi analisis OLAP dan data mining-nya. Semua data akan dibagi menjadi model berbentuk strip dalam Crystal Report. Crystal Report menggunakan model cross-tab tertentu untuk membuat cross-report. Fragmen laporan.

Reporting 84

Reporting Dashboards OLAP Software 84

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.

Analytics 79

Analytics Data Warehouse Data Lake Metadata 79

Jet Global

OCTOBER 2, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Amazon Redshift is simple to interact with. You can also run predictions using SQL.

Analytics 107

Analytics Data Warehouse Dashboards Testing 107

AWS Big Data

MARCH 20, 2023

Although these batch analytics-based efforts were successful to some extent, they saw opportunities to improve the customer experience with real-time personalization and security guidance during the customer’s interaction with the Poshmark app. User interactions on Poshmark web and mobile applications generate server-side events.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

AUGUST 1, 2024

Security and access control assessment – This includes reviewing the existing security model, including user roles, permissions, access controls, data retention policies, and any compliance requirements and industry regulations that need to be adhered to. The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

Jen Stirrup

OCTOBER 30, 2022

These propensity models are useful for understanding which customers are most likely to purchase a given set of products. This model can assist in decision making and in focusing marketing efforts. One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing).

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Jet Global

MAY 1, 2023

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Embedded Analytics Drive Successful Consumer Applications Consumer web applications have transformed how people use and interact with data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 6, 2022

If you use Power BI alone to generate reports, the complexity of the Microsoft Dynamics data model can be an obstacle as it requires knowledge of its proprietary DAX scripting language. Data models must be refreshed either manually or on a set schedule. Providing pre-built OLAP cubes, a data warehouse, and visualized dashboards.

Data Warehouse 52

Data Warehouse Visualization Finance Reporting 52