Paul Turley

MARCH 18, 2024

I've been working with data and reporting solutions for about 30 years and have seen many products come and go. Everything I knew about working with databases, data warehouses, transforming and reporting on data has changed recently BUT it doesn't mean that everyone using Power BI must stop what they are doing and adapt to these changes.

Data Warehouse 113

Data Warehouse Data Processing Reporting Technology 113

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

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Data Warehouse Sales Visualization Data Processing 79

CIO Business Intelligence

MARCH 22, 2024

It’s following in the footsteps of IBM and Microsoft, which like the German telco have an edge over regular companies contemplating a similar move to Rise in that they have their own clouds in which to host the applications and their own IT services divisions to make the move. Some of them are still running on ECC 6.0,

Data Processing 105

Data Processing Data Warehouse Management Software 105

AWS Big Data

NOVEMBER 17, 2023

Seeds – These are CSV files in your dbt project (typically in your seeds directory), which dbt can load into your data warehouse using the dbt seed command. This includes the host, port, database name, user name, and password. An Amazon Simple Storage (Amazon S3) bucket to host documentation files. project-dir.

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Snapshot Data Processing Testing Data Warehouse 90

datapine

SEPTEMBER 27, 2022

With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. It is a must-read for understanding data warehouse design.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud. You also have the option of hosting with a third party.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

Cloudera

JANUARY 19, 2024

Supported AI models and services The SQL AI Assistant is not bundled with a specific LLM; instead it supports various LLMs and hosting services. The model can run locally, be hosted on CML infra or in the infrastructure of a trusted service provider. Log in to the Cloudera Data Warehouse service as DWAdmin.

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Data Warehouse Data Processing Optimization Modeling 72

AWS Big Data

DECEMBER 13, 2023

A CDC-based approach captures the data changes and makes them available in data warehouses for further analytics in real-time. usually a data warehouse) needs to reflect those changes in near real-time. This post showcases how to use streaming ingestion to bring data to Amazon Redshift.

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Data Warehouse Snapshot Data Processing Management 97

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

Technology 131

Technology Data Warehouse Big Data Machine Learning 131

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

DataRobot Blog

FEBRUARY 28, 2023

This includes: Supporting Snowflake External OAuth configuration Leveraging Snowpark for exploratory data analysis with DataRobot-hosted Notebooks and model scoring. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment. We recently announced DataRobot’s new Hosted Notebooks capability.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

Cloudera

SEPTEMBER 30, 2020

In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. This blog will help you get started with Cloudera Data Visualization, so you can start building interesting and powerful applications on all types of data.

Visualization 69

Visualization Data Warehouse Dashboards Data Processing 69

CIO Business Intelligence

OCTOBER 17, 2023

NetSuite is adding generative AI and a host of new features and applications to its cloud-based ERP suite in an effort to compete better with midmarket rivals including Epicor, IFS, Infor, and Zoho in multiple domains such as HR, supply chain, banking, finance, and sales. Bill Capture, too, has been made generally available.

IT 131

IT Finance Sales Enterprise 131

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

AWS Big Data

MARCH 29, 2024

Typically, you have multiple accounts to manage and run resources for your data pipeline. His team focuses on building distributed systems to enable customers with interactive and simple to use interfaces to efficiently manage and transform petabytes of data seamlessly across data lakes on Amazon S3, databases and data-warehouses on cloud.

Metrics 104

Metrics Visualization Dashboards Interactive 104

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 85

Data Processing IoT Cost-Benefit Digital Transformation 85

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 74

Dashboards Data Warehouse Visualization Data Processing 74

Cloudera

NOVEMBER 12, 2020

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

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Data Warehouse Reporting Risk Cost-Benefit 102

BizAcuity

FEBRUARY 1, 2019

The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse. One of the many things that data warehouses allow is the chronological sifting of data.

Data Warehouse 73

Data Warehouse B2B Business Intelligence Data-driven 73

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 75

ROI Data Warehouse Advertising Data Processing 75

CIO Business Intelligence

JANUARY 16, 2023

All the logic is still in Java hosted on Amazon’s infrastructure.” Aside from the core cloud services, Choice also uses Amazon RedShift as a front end to its cloud data warehouse, Amazon SageMaker to build machine leaning models, and Amazon Kinesis to collect, process, and analyze real-time data.

Cost-Benefit 144

Cost-Benefit Digital Transformation Data Warehouse Data-driven 144

Octopai

NOVEMBER 24, 2021

As the first of its reasons why to migrate to Redshift , Amazon says, “Amazon Redshift is fully managed and simple to use, enabling you to deploy a new data warehouse in minutes and load virtually any type of data from a range of cloud or on-premises data sources.”. Setting up the data warehouse can take minutes.

Data Warehouse 73

Data Warehouse Metadata Data Processing Reporting 73

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 73

ROI Data Warehouse Advertising Data Processing 73

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Data can be organized into three different zones, as shown in the following figure.

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Data Lake Sales Data Warehouse Snapshot 101

Cloudera

SEPTEMBER 2, 2020

In short, CDP Private Cloud is a game-changer for Cloudera partners as it provides opportunities to help their customers modernize their data platform by breaking up monolithic architectures without leaving their data centers! . Over a third of these Enterprises are actively executing on a strategy to move to hybrid IT.

Cost-Benefit 66

Cost-Benefit Data Warehouse Data Lake Machine Learning 66

Juice Analytics

DECEMBER 30, 2019

We like to call Dave one of our “angels” because he truly does work really hard to connect us with potential customers, is a great ally of ours, and always shows up for events that we host in our office. What has impressed you the most about Juice or its team? Tough question, because there is much to admire, enjoy and soak up.

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Data Warehouse Data Processing Consulting Software 71

Cloudera

SEPTEMBER 29, 2022

Note that the actual technologies used to generate, store, and query the actual data may be varied — and are not even prescribed by data mesh. It is also agnostic to where the different domains are hosted. Data fabric defined. Corresponding to the data mesh example in Figure 4, D1, D2 are tables in a data warehouse.

Data Architecture 74

Data Architecture Metadata Data Warehouse Sales 74

Sisense

OCTOBER 10, 2019

Today, being a data engineer means connecting your company’s business systems to cloud-based data sources. If you are starting a company today, you’ll probably do everything on the cloud: data storage, code hosting, everything. You’ll never own a server machine again. That’s the past. The cloud horizon.

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Data Processing Data Warehouse Digital Transformation Software 60

IBM Big Data Hub

AUGUST 28, 2023

This data is leveraged by departments throughout the organization and is essential to their business operations. Such data helps decide how many books to print initially and in which format, how many to print in the future, key pricing decisions and a host of other important business decisions.

Publishing 52

Publishing Analytics Business Intelligence Operational Reporting 52

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. Cloud costs are growing prohibitive.

Data Warehouse 52

Data Warehouse Digital Transformation Data-driven Metadata 52

datapine

MAY 21, 2019

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. In the past, expensive enterprise BI solutions required huge hardware resources.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

Smart Data Collective

MARCH 30, 2022

If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. You can also migrate your data through the Azure portal. It is rapidly becoming the primary choice for companies and developers due to its superior performance. Conclusion.

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Data Lake Cost-Benefit Data Warehouse Big Data 98

Smart Data Collective

NOVEMBER 18, 2020

It includes the analysis of hidden data models according to various translation options into useful information that is collected and generated in data warehouses to facilitate business decisions designed to reduce costs and increase income. It hosts a data analysis competition. Practical experience. Use Kaggle.

Data mining 142

Data mining Data Science Informatics Statistics 142

Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 40

ROI Data Warehouse Advertising Data Processing 40

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 40

ROI Data Warehouse Advertising Data Processing 40

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table.

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Data Lake Metadata Data Processing Big Data 80