DataKitchen

AUGUST 19, 2021

The DataKitchen Platform ingests data into a data lake and runs Recipes to create a data warehouse leveraged by users and self-service data analysts. A sales or marketing team member could propose an idea –– what if we combined data from sources A and B to find potential customers for our new product?

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

datapine

MAY 29, 2019

One of the BI architecture components is data warehousing. Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence. What Is Data Warehousing And Business Intelligence?

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

Cloudera

MARCH 2, 2022

We used the TPC-DS sales and items table for this benchmark. sales had columns s_item_id (int), s_quantity(int) ,s_date(date) , whereas items had columns i_item_id (int) and i_price (double). sales had 1 billion rows and items had 30 million rows. . Billion-Row benchmark. Build Benchmark. With Changes. Without Changes.

Data Warehouse 89

Data Warehouse Optimization Analytics Sales 89

AWS Big Data

MARCH 6, 2025

Tens of thousands of customers use Amazon Redshift for modern data analytics at scale, delivering up to three times better price-performance and seven times better throughput than other cloud data warehouses. To maintain the right level of access, the company wants to restrict data visibility based on the users role and region.

Visualization 88

Visualization Sales Data Warehouse Management 88

IBM Big Data Hub

MARCH 11, 2019

Though the enterprise data warehouse (EDW) has traditionally been the repository for historical data such as sales and financials, it is quickly evolving to meet the demands of new technologies.

Data Warehouse 75

Data Warehouse Enterprise Sales Technology 75

Jet Global

NOVEMBER 2, 2020

Interestingly, you can address many of them very effectively with a data warehouse. There are some very important reasons why you might want to bring some of your historical data into your new system, though. For example, it would be useful to retain the capability of reporting historical sales trends.

Data Warehouse 83

Data Warehouse Cost-Benefit Reporting Recreation/Entertainment 83

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.

Data Warehouse 98

Data Warehouse Sales Visualization Data Processing 98

AWS Big Data

MARCH 13, 2025

Unified access to your data is provided by Amazon SageMaker Lakehouse , a unified, open, and secure data lakehouse built on Apache Iceberg open standards. The final model provides sales teams with the highest-value opportunities, which they can visualize in a business intelligence dashboard and take action on immediately.

Analytics 87

Analytics Data Lake Data Warehouse Data-driven 87

DataKitchen

AUGUST 27, 2021

A solid ramp in initial interest puts a new medicine on a trajectory to meet its lifetime sales targets. During the product launch, everyone in the sales and marketing organizations is hyper-focused on business development. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

AWS Big Data

DECEMBER 10, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

Sales 104

Sales Metadata Enterprise Testing 104

Sisense

JANUARY 6, 2020

Nowadays, sales is both science and art. Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. Why sales and analysts should work together. Why sales and analysts should work together.

Sales 91

Sales Forecasting Snapshot Management 91

datapine

JANUARY 24, 2021

Based on your company’s strategy, goals, budget, and target customers you should prepare a set of questions that will smoothly walk you through the online data analysis and help you arrive at relevant insights. For example, you need to develop a sales strategy and increase revenue. Data Dan: (Rolls eyes). ETL data warehouse*.

IT 317

IT Statistics KPI Data-driven 317

datapine

JULY 1, 2020

Ad hoc reports in sales: Ad hoc reporting and analysis can be used in a company with a large sales database. Let’s say a user wants to find out the outcome of a specific sale related to a particular scenario, s/he would build a single report, used only once, to provide that result.

Reporting 260

Reporting Dashboards Cost-Benefit Visualization 260

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse 78

Data Warehouse Dashboards Testing Visualization 78

AWS Big Data

JULY 2, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Data Warehouse 116

Data Warehouse Sales Testing Big Data 116

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 144

Technology Data Warehouse Big Data Machine Learning 144

AWS Big Data

JULY 29, 2024

Amazon DataZone is a powerful data management service that empowers data engineers, data scientists, product managers, analysts, and business users to seamlessly catalog, discover, analyze, and govern data across organizational boundaries, AWS accounts, data lakes, and data warehouses.

Data Warehouse 107

Data Warehouse Sales Metadata Publishing 107

AWS Big Data

DECEMBER 20, 2024

You can now generate data integration jobs for various data sources and destinations, including Amazon Simple Storage Service (Amazon S3) data lakes with popular file formats like CSV, JSON, and Parquet, as well as modern table formats such as Apache Hudi , Delta , and Apache Iceberg.

Data Integration 105

Data Integration Visualization Data Processing Data Lake 105

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. Peloton collects reams of data on its sales of internet-connected exercise equipment like stationary bikes and treadmills.

Data Warehouse 126

Data Warehouse Cost-Benefit Sales Data-driven 126

AWS Big Data

JULY 2, 2024

Fine-grained access control is a crucial aspect of data security for modern data lakes and data warehouses. As organizations handle vast amounts of data across multiple data sources, the need to manage sensitive information has become increasingly important.

Sales 119

Sales Data Lake Publishing Data Warehouse 119

AWS Big Data

MARCH 5, 2025

Quick setup enables two default blueprints and creates the default environment profiles for the data lake and data warehouse default blueprints. The script creates a table with sample marketing and sales data. You will then publish the data assets from these data sources. AS wholesale_cost, 45.0

Analytics 60

Analytics Publishing Metadata Sales 60

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

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. We provide an example for data ingestion and querying using an ecommerce sales data lake.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. Below is the entire set of steps in the data lifecycle, and each step in the lifecycle will be supported by a dedicated blog post(see Fig. Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples).

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 119

Data Warehouse Cost-Benefit Dashboards Optimization 119

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 121

Data Warehouse Data-driven Machine Learning B2B 121

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

AWS Big Data

JUNE 25, 2024

In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights. This external DLO acts as a storage container, housing metadata for your federated Redshift data.

Data Lake 121

Data Lake Cost-Benefit Data-driven Data Warehouse 121

Smart Data Collective

DECEMBER 13, 2022

Five Best Practices for Data Analytics. Extracted data must be saved someplace. There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Select a Storage Platform.

Visualization 145

Visualization Key Performance Indicator Sales Advertising 145

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

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 128

Data Warehouse Analytics Data Lake Machine Learning 128

CIO Business Intelligence

JANUARY 20, 2023

Improved employee satisfaction: Providing business users access to data without having to contact analysts or IT can reduce friction, increase productivity, and facilitate faster results. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

CIO Business Intelligence

MARCH 28, 2022

After launching the Healthcare and Life Sciences Data Cloud Platform just a week ago, Snowflake has announced a Retail Data Cloud aimed at helping retail and consumer goods companies make the most of their data.

Consulting 125

Consulting Data Warehouse Machine Learning Dashboards 125

AWS Big Data

NOVEMBER 30, 2023

This integration simplifies the authentication and authorization process for Amazon Redshift users using Query Editor V2 or Amazon Quicksight , making it easier for them to securely access your data warehouse. Note: Your organization’s IdC instance must be in the same region as the Amazon Redshift data warehouse you’re connecting to.

Data Warehouse 108

Data Warehouse Finance Sales Management 108

AWS Big Data

JUNE 19, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Data Warehouse 114

Data Warehouse Testing Sales Structured Data 114

Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110