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 67

Data Warehouse Cost-Benefit Metadata Management 67

Jet Global

OCTOBER 10, 2019

As one of the most widely used data visualization tools in the world, Power BI has made some huge improvements to creating custom visualizations that we want to share with you. 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

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Sisense

JULY 7, 2020

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Additional capabilities.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

FineReport

AUGUST 14, 2020

The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc. The data analysis part is responsible for extracting data from the data warehouse, using the query, OLAP, data mining to analyze data, and forming the data conclusion with data visualization.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

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

FineReport

FEBRUARY 28, 2020

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. In this way, users can gain insights from the data and make data-driven decisions. .

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

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 71

Analytics Data Warehouse Data Lake Metadata 71

AWS Big Data

JUNE 23, 2023

Each day, TBs of new data is added to the data lake, which is then transformed, aggregated, partitioned, and compressed. In this post, we explain how Imperva’s solution enables users across the organization to explore, visualize, and analyze data using Amazon Redshift Serverless , Amazon Athena , and QuickSight.

Data Lake 69

Data Lake Cost-Benefit Dashboards Data Warehouse 69

FineReport

FEBRUARY 12, 2020

Where- Where to publish and put this report? Determine the source of the data . Which database are the data from? Enterprise data warehouse? What database tables are the data from? Does the data on the report involve some enhanced display, such as sorting, grouping, summarizing, ranking, and warning?

Reporting 98

Reporting Metrics ROI Software 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. What is Social Business Intelligence? Summing Up. Website Link: [link] .

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Smart Data Collective

NOVEMBER 18, 2020

Therefore, machine learning is of great importance for almost any field, but above all, it will work well where there is Data Science. Data Mining Techniques and Data Visualization. Data Mining is an important research process. It hosts a data analysis competition. Here are some good options for doing this.

Data mining 142

Data mining Data Science Informatics Statistics 142

FineReport

DECEMBER 17, 2019

Jaspersoft ETL – an open-source ETL system that is easy to deploy and execute, creating a comprehensive data warehouse and data set. The documents can be published and exported in a variety of document formats. Once installed, reports can be created and published quickly. From Google. From Google.

Reporting 98

Reporting Dashboards Visualization Cost-Benefit 98

Cloudera

SEPTEMBER 29, 2022

In the data fabric implementation, the concepts in data mesh map to real-world artifacts in a data architecture. Corresponding to the data mesh example in Figure 4, D1, D2 are tables in a data warehouse. A2 is an app built as a spark job orchestrated to run when some data shows up.

Data Architecture 74

Data Architecture Metadata Data Warehouse Sales 74

FineReport

DECEMBER 25, 2019

Where- Where to publish and put this report? Determine the source the data . Which database are the data from? Enterprise data warehouse? What database tables are the data from? Does the data on the report involve some enhanced display, such as sorting, grouping, summarizing, ranking, and warning?

Reporting 98

Reporting Metrics ROI KPI 98

AWS Big Data

JUNE 6, 2023

It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines. Data quality at rest focuses on validating the data stored in data lakes, databases, or data warehouses. It ensures that the data meets specific quality standards before it is consumed.

Data Quality 69

Data Quality Data Lake Visualization Data-driven 69

Cloudera

NOVEMBER 23, 2020

Upgrading components of Cloudera Data Warehouse (CDW) is as easy as one decision and a few clicks. While the Database (DB) Catalog and Virtual Warehouses (VWs) need to be compatible, the CDW upgrade framework understands the interoperability constraints between them. .

Metadata 65

Metadata Data Warehouse Visualization Publishing 65

Andrew White

OCTOBER 22, 2021

Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Enterprise Data Manager 1.

IT 52

IT Data Lake Strategy Data Science 52

Jet Global

JULY 23, 2019

With multiple sessions on VBA, macros, Jet products, data visualization, Power BI, PivotTables, dashboards, and the latest technology in Microsoft Excel – Excelapalooza is your reporting and analytics dreamland. Power BI Desktop opens a new era in data analysis and reporting. Why Attend Excelapalooza?

Dashboards 71

Dashboards Reporting Data Warehouse Visualization 71

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Sisense

JUNE 30, 2020

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 Using Power Pivot.

Dashboards 40

Dashboards Visualization Interactive KPI 40

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 Using Power Pivot.

Dashboards 40

Dashboards Visualization Interactive KPI 40

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 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Smarten

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Analytics 40

Analytics IT Business Intelligence Visualization 40

FineReport

MAY 9, 2020

The data layer of FineReport is responsible for data management, including data collection, ETL, building a data warehouse, etc. It supports multiple data sources and data integration. . Top 20 Best Data Visualization Software in 2020: Free and Commercial.

Reporting 52

Reporting Sales Data Warehouse Software 52

Jet Global

APRIL 30, 2019

If you want to tailor your data entities to your business, most customers (and partners) must take the time to develop their own custom data entities for direct use in reporting and visualization (Power BI). 4 Common Issues with Using Data Entities. Merging Multiple Data Sources for One Governed Data Set.

Finance 73

Finance OLAP Reporting Data Warehouse 73

FineReport

APRIL 21, 2024

These solutions typically include data visualization, customizable dashboards, and self-service analytics. Tableau Tableau transforms data usage with end-to-end analytics, including data management, visual analytics, and storytelling. Features include interactive visualizations and native data connectors.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

Cloudera

NOVEMBER 25, 2020

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. The Vision of a Discovery Data Warehouse. A Discovery Data Warehouse is cloud-agnostic. Access to valuable data should not be hindered by the technology.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Howard Dresner

JANUARY 4, 2015

He has published two books on the subject, The Performance Management Revolution — Business Results through Insight and Action, and Profiles in Performance — Business Intelligence Journeys and the Roadmap for Change.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

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. Ashish Agrawal is a Sr.

Metrics 80

Metrics Data Warehouse Dashboards Snapshot 80

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. What is Social Business Intelligence? Summing Up. Website Link: [link] .

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

AWS Big Data

MARCH 11, 2024

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

Smarten

NOVEMBER 26, 2023

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence. or What is happening? And that is exactly what is happening!

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

IBM Big Data Hub

APRIL 27, 2022

With data ownership decentralization, data owners can create data products for their respective domains, meaning data consumers, both data scientist and business users, can use a combination of these data products for data analytics and data science.

Management 88

Management Metadata Data Architecture Data Lake 88