AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources. AWS Glue 5.0 Finally, AWS Glue 5.0

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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

Sisense

JULY 7, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Today’s organizations are more data-driven than ever. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 103

Data Lake Data Warehouse Data-driven B2B 103

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Prevent “reinventing of the wheel.” .

Testing 152

Testing Dashboards Measurement Experimentation 152

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Each card or listing contains information about a book or publication (e.g.,

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

NOVEMBER 13, 2023

For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. Book your spot early for the sessions you do not want to miss. 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture.

Analytics 119

Analytics Data Lake Data Warehouse Data-driven 119

CIO Business Intelligence

NOVEMBER 23, 2022

Organizations that scored in the top quartile for EA maturity in a recent Bizzdesign survey were three times more likely to report having organizational agility, which has been crucial during the past few years with the COVID-19 pandemic. Enterprise architect role Enterprise architects typically report to the CIO or other IT managers.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

Jet Global

DECEMBER 17, 2020

Tufte powerfully illustrates the impact that data visualization can have on real-world decisions. In the book, he provides a compelling example of how data visualization can lead observers to discover meaning in data that might otherwise appear too cryptic, ultimately saving countless lives as a result.

Visualization 72

Visualization Finance Reporting Sales 72

Occam's Razor

APRIL 2, 2012

Such companies usually also own massive data warehouses where they have an ability to periodically do cannonballs into the data and identify correlations in consumption and purchase patterns. For MCA-ADC you'll use a different set of reports ( multi-channel funnels ) and attribution models. A blind-spot if you will.

Modeling 154

Modeling Advertising Marketing Measurement 154

Occam's Razor

JANUARY 24, 2011

You'll need to look in your corporate data warehouses. In the right navigation, you can meet one of my micro-conversions by clicking on my book's link. One great benefit: I get detailed reports from Amazon that tell me clicks and conversion rates! Start great reporting. Try these techniques. #1:

Analytics 123

Analytics Finance B2B Reporting 123

AWS Big Data

MAY 28, 2024

Solution overview Our solution demonstrates how financial analysts can use generative artificial intelligence (AI) to adapt their investment recommendations based on financial reports and earnings transcripts with RAG to use LLMs to generate factual content. If yes, run query to extract information.

Unstructured Data 102

Unstructured Data Data Warehouse Structured Data Testing 102

Jet Global

MAY 27, 2022

Synapse services are powerful tools for bringing data together for analytics, machine learning, reporting needs, and more. Here, we discuss technology solutions that help you leverage the benefits of synapse services for mission-critical financial analysis and reporting in Microsoft Dynamics. Streamline Data with Atlas.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

AWS Big Data

JULY 13, 2023

The reporting zone is based on a set of Amazon Athena views, which are consumed for BI purposes. Athena exposes the content of the reporting zone for consumption. Athena exposes the content of the reporting zone for consumption. The content of the reporting zone is ingested via SPICE in Amazon QuickSight.

Optimization 95

Optimization B2B Data Quality Sales 95

Jet Global

MAY 6, 2020

Compliance requires re-evaluating every old and new contract to determine if the revenue needs to be booked differently. That’s a big enough process on its own, but it’s accompanied by the need to update systems , policies, and reporting practices to reflect the details of ASC 606, which are extensive.

Forecasting 59

Forecasting Data Warehouse Reporting Software 59

Occam's Razor

NOVEMBER 5, 2007

For a person such as myself who came from the traditional Data Warehouse and Business Intelligence worlds that was a non-trivial mental model transformation. Essentially everything you need to know, measure and report around the existence of your website itself. See how it is web data and "web analytics"?

Analytics 98

Analytics Experimentation Metrics Measurement 98

FineReport

DECEMBER 27, 2021

Enterprise BI typically functions by combining enterprise data warehouse and enterprise license to a BI platform or toolset that business users in various roles can use. Usually, enterprise BI incorporates relatively rigid, well-structured data models on data warehouses or data marts. Enterprise BI solution.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

Sisense

JUNE 30, 2020

The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices. Visual analytics and data visualizations in action.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

IBM Big Data Hub

APRIL 8, 2024

Answer: To share feedback on the product and learn more about new features or technical updates planned for Amazon RDS for Db2, connect with your IBM or AWS representative to  book a meeting with IBM Db2 experts.  Can Amazon RDS for Db2 be used for running data warehousing workloads?

Snapshot 68

Snapshot Data Warehouse Data Processing Management 68

AWS Big Data

MAY 28, 2024

With this capability, you can use SQL (Structured Query Language) to connect to and directly ingest the data stream from Kinesis Data Streams to analyze and run complex analytical queries. After the data is in Amazon Redshift, you can create a business report using QuickSight.

IoT 104

IoT Analytics Dashboards Data-driven 104

IBM Big Data Hub

AUGUST 3, 2023

Another challenge with data being rapidly moved to the cloud and stored across multiple environments means it is highly likely for enterprises to lose visibility of their sensitive data. This is an issue because enterprises can’t possibly expect to be able to protect all their data when they are not aware of its location.

Cost-Benefit 57

Cost-Benefit Risk Reporting Enterprise 57

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. OLTP does not hold historical data, only current data.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Jet Global

DECEMBER 8, 2020

Although there are a lot of things to like about Microsoft’s flagship analytics platform, any company that plans to build its financial reporting and analytics on Power BI should plan for the kind of cost, complexity, and risk that comes with a large-scale software project. Power BI doesn’t come with any reports out of the box.

Finance 52

Finance Risk Reporting Software 52

IBM Big Data Hub

NOVEMBER 8, 2023

We are expanding IBM Db2 Warehouse on Power with a new Base Rack Express at a 30% lower entry list price, adding to today’s S, M and L configurations, while still providing the same total-solution experience, including Db2 Data Warehouse’s connectivity with watsonx.data to unlock the potential of data for analytics and AI.

Data-driven 93

Data-driven Strategy Data Warehouse Cost-Benefit 93

IBM Big Data Hub

AUGUST 28, 2023

If you’re a reader, chances are good you’ve read a book from Macmillan. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. As business processes grew more complex, the data transparency and visibility suffered.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

Peter James Thomas

APRIL 3, 2020

A skilled practitioner, hard at work developing elements of a Structured Reporting Framework. © However, I want to focus on a further pillar in the edifice of easily accessible and comprehensible Insight and Information , a Structured Reporting Framework. In my experience, Structured Reporting Frameworks are much misunderstood.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

Alation

MAY 24, 2022

Some vendors leverage a sampling based approach where others look to leverage how different workloads are processed and report on the success/failure of a given process. These solutions exist because different industries or departments within an organization may require different types of data quality. Book a demo today.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

DataRobot Blog

FEBRUARY 21, 2022

Seventy-six percent of companies prioritize AI and machine learning (ML) over other IT initiatives, according to Algorithmia’s 2021 enterprise trends in machine learning report. With growing pressure on data scientists, every organization needs to ensure that their teams are empowered with the right tools. The bar for AI keeps rising.

Data Science 52

Data Science Recreation/Entertainment Risk Visualization 52

IBM Big Data Hub

DECEMBER 16, 2022

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. It uses metadata and data management tools to organize all data assets within your organization.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Howard Dresner

JANUARY 4, 2015

As she observed, these days, “everybody is a data generator and consumer. Millennials are changing the way we consume and report data, so a generational change is starting to make a difference regarding the importance of training.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

IBM Big Data Hub

AUGUST 1, 2023

Fortunately, data stores serve as secure data repositories and enable foundation models to scale in both terms of their size and their training data. Data stores suitable for business-focused generative AI are built on an open lakehouse architecture, combining the qualities of a data lake and data warehouse.

Modeling 55

Modeling Cost-Benefit Machine Learning Data Lake 55

InsightOut

AUGUST 6, 2021

The ability to embed the charts directly over or under the data, especially when dynamic features of Excel charts are enabled, allows users to toggle back and forth between the image and the data at will. Idea Illustration: Some visualizations help represent abstract ideas and categorize them.

Visualization 52

Visualization Software Data Warehouse Testing 52

FineReport

APRIL 3, 2024

Key Features of BI Dashboards: Customizable interface Interactivity Real-time data accessibility Web browser compatibility Predefined templates Collaborative sharing capabilities BI Dashboards vs. BI Reports: While both dashboards and reports are pivotal in business intelligence, they serve distinct purposes.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Sisense

JUNE 24, 2019

From a humble beginning selling books out of a garage, the Seattle ecommerce giant dove headfirst into cloud computing and established itself as a leader in the field. If you’re working on a cloud-native project and need a system that easily handles containerized applications, Kuburnetes could be for you. AWS Automation Tools.

Management 75

Management Software Risk IT 75

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). These reports include the cash flow statement, income statement, and balance sheet.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Occam's Razor

APRIL 4, 2011

What's the difference between web reporting and web analysis? So here I what I actually said: If you see a data puke then you know you are looking at the result of web reporting, even if it is called a dashboard. All my proceeds from both my books go to charity.) Someone asked me this very simple question today.

Reporting 128

Reporting Metrics Dashboards Statistics 128