AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 66

Analytics Data Warehouse Data Lake Data-driven 66

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 design, generate, and manage reports in this part.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

BizAcuity

MAY 16, 2022

So, make sure you have a data strategy in place. Data Integration. The easiest way to tap into data is integrating all your data to get a detailed understanding of your operations and your customers. Data mining. Data visualization is used to depict stories graphically using dashboards.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Jet Global

OCTOBER 7, 2020

For anyone that needs to develop custom reports and dashboards, it all begins with understanding data entities. What Are Data Entities? Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Jet Global

MAY 1, 2020

We can almost guarantee you different results from each, and you end up with no data integrity whatsoever. The mechanical solution is to build a data warehouse. The solution is to establish a process or a set of automated controls to identify bad data and block it from entering the data warehouse or BI environment.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

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. Because FineReport supports multiple data sources and data integration.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Birst BI

OCTOBER 30, 2018

This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets. Add the predictive logic to the data model. With the source data now fully integrated into an analytic model, add and test different predictive algorithms.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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

datapine

FEBRUARY 10, 2021

Gathering data and information from one or multiple platforms and creating a comprehensive social media dashboard is equally important as creating the social content itself. Your Chance: Want to test a social media dashboard software for free? Benefit from professional social dashboards! What Is A Social Media Dashboard?

Dashboards 193

Dashboards Scorecard KPI Metrics 193

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

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. . FineReport is reporting software adopted the 3-tier architecture. .

Reporting 52

Reporting Sales Data Warehouse Software 52

Smarten

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

IT 40

IT Testing ROI Data Warehouse 40

AWS Big Data

FEBRUARY 13, 2024

AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. With Grafana, you can create, explore, and share visually rich, data-driven dashboards. Lastly, configure the dashboard.

Metrics 94

Metrics Dashboards Visualization Key Performance Indicator 94

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse.

Data Analytics 87

Data Analytics Analytics Data Warehouse Data Lake 87

datapine

NOVEMBER 11, 2021

a) Data Connectors Features. c) Dashboard Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. b) Flexible Data Integration. c) Join Data Sources.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Jet Global

MARCH 25, 2020

Many finance teams are challenged by demands from executives as well as other departments to deliver status reporting between periods, requiring the ability to find and fix reconciliation and data integrity issues throughout the month to help shorten the close cycle.

Reporting 45

Reporting Finance Sales Visualization 45

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 97

Data Warehouse Data Lake Analytics Machine Learning 97

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

CIO Business Intelligence

OCTOBER 7, 2022

BI analysts, with an average salary of $71,493 according to PayScale , provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. BI encompasses numerous roles.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

AWS Big Data

NOVEMBER 29, 2023

You also need services to store data for analysis and machine learning (ML) like Amazon Simple Storage Service (Amazon S3). Customers have created hundreds of thousands of data lakes on Amazon S3. We also announced that Amazon Q can help you create data integration pipelines using natural language.

Data Warehouse 109

Data Warehouse Data Lake Data Integration Dashboards 109

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

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 66

Modeling Sales Data Warehouse Snapshot 66

AWS Big Data

JULY 12, 2023

Introduction to Amazon Redshift Amazon Redshift is a fast, fully-managed, self-learning, self-tuning, petabyte-scale, ANSI-SQL compatible, and secure cloud data warehouse. Thousands of customers use Amazon Redshift to analyze exabytes of data and run complex analytical queries.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

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. Features of BI systems.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

AWS Big Data

JULY 13, 2023

In particular, they wanted to enable their account managers, sales executives, and analysts to use actual data and facts to get a 360 view of their accounts. Target – Dashboards to be refreshed on a daily basis that would provide insights on sales, gross profit, sales pipelines, and customers.

Optimization 87

Optimization B2B Data Quality Sales 87

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. For data warehouses, it can be a wide column analytical table. Data and cloud strategy must align.

Data Architecture 104

Data Architecture Data Integration IoT Strategy 104

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data Warehouse 90

Data Warehouse Optimization Dashboards Interactive 90

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. The audience of these few reports was limited—a maximum of 20 people from management.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. zettabytes of data. FOUNDATIONS OF A MODERN DATA DRIVEN ORGANISATION.

Data-driven 86

Data-driven Data Lake Data Warehouse Cost-Benefit 86

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Data Security. Ad Hoc Analysis.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Sisense

JULY 22, 2020

In all cases the data will eventually be loaded into a different place, so it can be managed, and organized, using a package such as Sisense for Cloud Data Teams. Using data pipelines and data integration between data storage tools, engineers perform ETL (Extract, transform and load). Connect tables.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Production Monitoring Only.

Testing 307

Testing Machine Learning Consulting Data Quality 307