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

CIO Business Intelligence

OCTOBER 19, 2023

With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. You can drill into data, create a variety of visualizations, and (literally) ask questions about it using AI.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

AWS Big Data

OCTOBER 23, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that lets you analyze your data at scale. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. Choose a query to view it in Query profiler.

Data Warehouse 106

Data Warehouse Metrics Broadcasting Dashboards 106

Data Science 101

DECEMBER 3, 2019

Do you have any dashboards? Do you have a data governance document? What data do you collect? Technical Questions Before Starting a Data Strategy. How and where is your current data stored? What is the current data infrastructure? Do you have a data warehouse? Do you use any external data?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis. Free Download.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. This is where the significance of a financial dashboard shines through. What is A Financial Dashboard? You can download FineReport for free and have a try!

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

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

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. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 126

Data Warehouse Cost-Benefit Sales Data-driven 126

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Jet Global

JANUARY 20, 2021

This process of extracting , transforming , and loading data into a central repository is commonly known as “ETL.” ” It’s one of the fundamental building blocks of a data warehouse, and for companies that wish to provide robust, flexible, and comprehensive reporting, ETL is invaluable.

Data Analytics 95

Data Analytics Management Analytics Data Warehouse 95

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. How to monitor queries based on status?

Metrics 98

Metrics Data Warehouse Dashboards Snapshot 98

FineReport

AUGUST 14, 2020

It is composed of three functional parts: the underlying data, data analysis, and data presentation. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc. You can download it for a free trial. You might also be interested in….

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

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 109

Data Warehouse Finance Sales Management 109

Jet Global

SEPTEMBER 4, 2020

For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

JULY 11, 2019

Data Consolidation. A data warehouse can help you collect business data from multiple sources and use it for accurate reporting and analytics. BI powered by data warehouses can better correlate data from disparate systems and provide greater insight into the supply chain, sales, financials, etc.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

Data Warehouse 96

Data Warehouse Data Lake IT Analytics 96

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 93

Data Lake Dashboards Cost-Benefit Data Warehouse 93

FineReport

SEPTEMBER 3, 2020

It allows you to extract data and present data in the form of charts, tables, reports, and dashboards to transform the data into useful information. . The presentation tier of the reporting platform usually plays a role in displaying the reports and dashboards. You can download it for a free trial.

Reporting 95

Reporting Dashboards Visualization Data Warehouse 95

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

Jet Global

APRIL 2, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? Get Insight Now.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

FineReport

FEBRUARY 12, 2020

Determine the source of the data . Which database are the data from? Enterprise data warehouse? What database tables are the data from? There are three types of reports that allow you to design reports of various functional styles to meet the needs of various data analysis scenarios. ERP database?

Reporting 98

Reporting Metrics ROI KPI 98

Octopai

FEBRUARY 12, 2020

Having a data dictionary means any potential user will be able to understand the data in a data warehouse. By defining the metadata that is created by the data stored in the system, you can isolate relevant information and identify which variables impact the results of the data. Download Now.

Metadata 72

Metadata Enterprise Management Data Warehouse 72

Jet Global

FEBRUARY 5, 2019

Once you have your data governance and MDM plan in order, you need to execute it through centralized data storage that allows you to migrate data and integrate it from multiple sources. Get a better understanding of what you need to do to improve your data quality and prepare your data for accurate insight.

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. Download the.yml file or launch the CloudFormation stack.

Management 115

Management Data Lake Sales Data Warehouse 115

FineReport

FEBRUARY 28, 2020

According to the process from data to knowledge, the functional architecture of a general enterprise reporting system is shown below:It is divided into three functional levels: the underlying data, data analysis, and data presentation. Dashboard Mode is for making a multi-perspective analysis. From FineReport.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Each report utilizes data visualization elements such as histograms or pie charts.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

APRIL 20, 2023

Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 97

Data Lake Data Warehouse Sales Data-driven 97

AWS Big Data

AUGUST 27, 2024

You can use the AWS Cloud Development Kit (AWS CDK) to deploy the Lambda function, RDS for PostgreSQL data model tables, and a QuickSight dashboard to track EMR cluster cost at the job, team, or business unit level. The following schema show the tables used in the solution which are queried by QuickSight to populate the dashboard.

Metrics 103

Metrics Dashboards Data Lake Optimization 103

Jet Global

AUGUST 14, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? Download this white paper! Download Now. And we can help!

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

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 105

Sales Metadata Enterprise Testing 105

FineReport

DECEMBER 27, 2021

Dashboards and visualizations are the primary user interfaces of many tools and platforms. 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. Enterprise BI dashboard by FineReport. Free Download.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

FineReport

NOVEMBER 17, 2021

Free Download. Report and Dashboard. Tableau : In Tableau, charts and series are separated, and users can customize the related attribute operations and can adjust the series in the layout whether it is mobile terminal or PC terminal, so the customization of dashboard layout is relatively strong. FineReport. Learning path.

Dashboards 52

Dashboards KPI Data Warehouse Metadata 52

FineReport

MARCH 21, 2020

But there is still a lot of repetitive work since different departments have separate data with Excel to calculate, accompanied by the tedious formula. . Even if the data warehouse and templates are well established, it is also very troublesome to modify and adjust the fixed reports. FineReport is free for personal use.

Reporting 91

Reporting Data Warehouse Manufacturing Enterprise 91

Jet Global

OCTOBER 10, 2019

Whether you are using the free desktop version or the paid professional version, one of the biggest challenges with Power BI is customizing your dashboards and reports to fit your analytical requirements. When creating or editing a Power BI dashboard, you have access to a ton of different types of visuals. Custom Visuals for Power BI.

Visualization 56

Visualization Dashboards KPI Reporting 56

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 69

Modeling Data Warehouse Machine Learning Testing 69

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Finally, the data consumer needs to access the subscribed data once access has been provisioned.

Metadata 104

Metadata Data Lake Data Processing Data-driven 104