datapine

SEPTEMBER 27, 2022

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. Originally published in 2018, the book has a second edition that was released in January of 2022. These businesses include eBay, Autotrader, and Amazon.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

FineReport

FEBRUARY 12, 2020

The design of reports can be considered from two aspects: layout and system. You may have seen many articles emphasize how to improve the layout of the report. Today, let’s learn the report designing from the perspective of the report system. The Basics of Report Designing . The Basics of Report Designing .

Reporting 98

Reporting Metrics ROI KPI 98

FineReport

FEBRUARY 28, 2020

What Is Enterprise Reporting? Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. Common Problems With Enterprise Reporting.

Reporting 96

Reporting Enterprise Visualization OLAP 96

FineReport

DECEMBER 17, 2019

In this article, I review some of the top free and open source reporting tools. These reporting tools have many advantages: low cost, meeting basic reporting needs, having a dedicated discussion board to solve user problems… 1.FineReport. The data entry function makes this reporting software distinctive from others.

Reporting 98

Reporting Dashboards Visualization Data Warehouse 98

FineReport

DECEMBER 25, 2019

Reports are the basic business requirements of an enterprise. It can help enterprises make better use of data if different data can be presented by appropriate reports. Top 10 Types of Report. Detail Report. Top 10 Types of Report. Detail Report. Group Report. Pagination Report.

Reporting 98

Reporting Metrics ROI KPI 98

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. It allows us to independently upgrade the Virtual Warehouses and Database Catalogs.

Data Warehouse 87

Data Warehouse Snapshot Metadata Cost-Benefit 87

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 61

Data Warehouse Cost-Benefit Statistics Data-driven 61

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 73

Data Warehouse Cost-Benefit Metadata Management 73

CIO Business Intelligence

JUNE 9, 2022

A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Deploying a DMP can be a great way for companies to navigate a business world dominated by data.

Management 144

Management Advertising Data Lake Sales 144

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

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.

Sales 108

Sales Data Warehouse Metadata Publishing 108

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

AWS Big Data

JUNE 3, 2024

Amazon Redshift is a fast, scalable cloud data warehouse built to serve workloads at any scale. This integration positions Amazon Redshift as an IAM Identity Center-managed application, enabling you to use database role-based access control on your data warehouse for enhanced security. Open Tableau Desktop.

Data Warehouse 115

Data Warehouse Reporting Testing Publishing 115

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. They can also optimize their time if they don’t have to reinvent a report.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

IBM Big Data Hub

AUGUST 28, 2023

Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. They published many perennial favorites including Kristin Hannah’s The Nightingale , Bill Martin’s Brown Bear, Brown Bear, what do you see?

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

Cloudera

NOVEMBER 25, 2020

Traditional systems are siloed, hard to access and often structured to serve traditional reports. Legacy systems do not scale with the new data needs. How could Matthew serve all this data, together , in an easily consumable way, without losing focus on his core business: finding a cure for cancer.

Data Warehouse 60

Data Warehouse Unstructured Data Analytics Visualization 60

AWS Big Data

SEPTEMBER 11, 2024

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. The Redshift publish zone is a different set of tables in the same Redshift provisioned cluster.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

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

DECEMBER 4, 2024

Our customers are telling us that they are seeing their analytics and AI workloads increasingly converge around a lot of the same data, and this is changing how they are using analytics tools with their data. Introducing the next generation of SageMaker The rise of generative AI is changing how data and AI teams work together.

Data Analytics 101

Data Analytics Analytics Data Lake Data Quality 101

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. Select Publish new dashboard as , and enter GlueObservabilityDashboard.

Metrics 128

Metrics Visualization Dashboards Interactive 128

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 111

Data Warehouse Metrics Statistics Optimization 111

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

Domino Data Lab

JANUARY 11, 2021

Part of this challenge is that many organizations seek to align their data science workflows to data warehousing patterns and practices. This means trading off granularity and latency of data for structures that make it easier to write queries that aggregate, filter and group results for reporting purposes.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Publishing 103

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 105

Management Advertising Data Lake Sales 105

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

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. Athena provides a simplified, flexible way to analyze petabytes of data where it lives.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

SEPTEMBER 3, 2024

Amazon Redshift and Tableau empower data analysis. Amazon Redshift is a cloud data warehouse that processes complex queries at scale and with speed. Tableau’s extensive capabilities and enterprise connectivity help analysts efficiently prepare, explore, and share data insights company-wide. Open Tableau Desktop.

Reporting 103

Reporting Publishing Data Warehouse Management 103

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse). Apache Hive.

Metrics 92

Metrics Slice and Dice Data Warehouse Dashboards 92

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse.

Data Warehouse 105

Data Warehouse Analytics Metrics Dashboards 105

CIO Business Intelligence

JANUARY 8, 2024

Data management is another key priority for Cathay this year, as the company aims to consolidate data feeds and data repositories from its multiple data warehouses to better enable analytics in all applications, Nair says.

Optimization 119

Optimization Digital Transformation Cost-Benefit Data Warehouse 119

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 94

Analytics Data Warehouse Data Lake Metadata 94

Smart Data Collective

OCTOBER 13, 2021

Data virtualization is ideal in any situation where the is necessary: Information coming from diverse data sources. Multi-channel publishing of data services. How does Data Virtualization complement Data Warehousing and SOA Architectures? Real-time information. Agile requirements and fast deployment times.

Visualization 141

Visualization Cost-Benefit Big Data Prescriptive Analytics 141

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., Business Metadata. Ensures regulatory compliance.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Occam's Razor

JANUARY 30, 2012

When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things. Pretty cool.

Analytics 146

Analytics Dashboards Metrics Key Performance Indicator 146

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. They can also optimize their time if they don’t have to reinvent a report.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Dashboards 20