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 92

Analytics Data Warehouse Testing Dashboards 92

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 103

Cost-Benefit OLAP Dashboards Visualization 103

Sisense

FEBRUARY 16, 2021

The primary aim when building a model is to transform complex, raw, real-world data into a coherent picture that can be used to answer likely questions from the business. . Designers, engineers, and analysts see data in different ways. Data warehouses have become intensely important in the modern business world.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

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

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

Domino Data Lab

JULY 2, 2019

Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14). Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke.

Metadata 105

Metadata Machine Learning Data Science 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). A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. These types of queries are suited for a data warehouse.

Data Warehouse 76

Data Warehouse Data Lake OLAP Cost-Benefit 76

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 92

OLAP Data Lake Data-driven Snapshot 92

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. 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.

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