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 95

Data Warehouse Data Lake Analytics Data Science 95

AWS Big Data

NOVEMBER 28, 2023

To run analytics on their operational data, customers often build solutions that are a combination of a database, a data warehouse, and an extract, transform, and load (ETL) pipeline. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 96

Data Warehouse Data-driven Machine Learning B2B 96

Jet Global

FEBRUARY 16, 2023

With easily customizable dashboards in hand, you’ll be able to intuitively grasp what is happening in your business at a glance, instead of becoming lost in a sea of spreadsheet data. With CXO dashboards, you’ll be able to package and present key data to enable timely decision-making and organizational agility.

Dashboards 52

Dashboards Reporting Finance Operational Reporting 52

AWS Big Data

MARCH 29, 2024

Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. Choose SHARE.

Metrics 109

Metrics Visualization Dashboards Interactive 109

CIO Business Intelligence

JULY 18, 2022

Central to Byrdak’s multi-year transformation plan is the expansion of MealConnect, the first nationally available food rescue and sourcing platform, and a new data warehouse to anchor an analytics offering that helps food banks analyze and visualize their food sourcing and distribution data.

Data Warehouse 127

Data Warehouse Dashboards Reporting Manufacturing 127

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. In fact, as companies undertake digital transformations , usually the data transformation comes first, and doing so often begins with breaking down data — and political — silos in various corners of the enterprise.

Data Warehouse 139

Data Warehouse Digital Transformation Data-driven Reporting 139

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.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

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 104

Data Warehouse Data Lake Analytics Machine Learning 104

AWS Big Data

NOVEMBER 29, 2023

Customizing foundation models The need for data is quite obvious if you are building your own foundation models (FMs). These models need vast amounts of data. But data is necessary even when you are building on top of FMs. Customers have created hundreds of thousands of data lakes on Amazon S3.

Data Warehouse 111

Data Warehouse Data Lake Data Integration Dashboards 111

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

DataKitchen

SEPTEMBER 21, 2023

This is where the true power of complete data observability comes into play, and it’s time to get acquainted with its two critical parts: ‘Data in Place’ and ‘Data in Use.’ What is Data in Place? The ultimate value proposition here is an enhanced experience for the end-user.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Jen Stirrup

MARCH 29, 2023

They are also starting to realize – and accept – that data is challenging. Post-COVID, companies now understand that IT skills are different from data skills. It is easier to list the symptoms of a problematic data foundation as they are often pretty clear to business users. Why is this interesting?

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

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 95

Data Analytics Analytics Data Warehouse Data Lake 95

CIO Business Intelligence

MAY 24, 2022

Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. IBM’s Global C-suite Study, 2021 agrees, saying there is strong evidence that data-driven organisations outperform their peers financially, on innovation and in driving cultural change.

Data-driven 81

Data-driven Data Lake Data Warehouse Cost-Benefit 81

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

AWS Big Data

NOVEMBER 20, 2023

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Metrics 99

Metrics Data Lake Cost-Benefit Dashboards 99

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. This is one of the biggest hurdles with the data vault approach. What is a dimensional data model?

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Modeling 66

AWS Big Data

NOVEMBER 13, 2023

For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. Book your spot early for the sessions you do not want to miss.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

AWS Big Data

APRIL 25, 2023

Data and its various uses is increasingly evident in companies, and each professional has their preferences about which technologies to use to visualize data, which isn’t necessarily in line with the technological needs and infrastructure of a company. Participants had to get information in their own dashboard to answer correctly.

Visualization 52

Visualization IT Data-driven Reporting 52

datapine

FEBRUARY 22, 2022

In response to this increasing need for data analytics, business intelligence software has flooded the market. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. Unfortunately, this approach could be disastrous.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Sisense

JULY 22, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways organizations tackle the challenges of this new world to help their companies and their customers thrive. Your definitive guide to data and analytics processes.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

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 100

Data Architecture Data Integration IoT Strategy 100

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 91

Data Warehouse Optimization Dashboards Interactive 91

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

AWS Big Data

JULY 13, 2023

To succeed further, their vision of data requires it to be accessible and actionable to all, with key roles and responsibilities defined by those who produce and consume data, as shown in the following figure. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 92

Optimization B2B Data Quality Sales 92

Smart Data Collective

APRIL 15, 2021

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports. Set Up Data Integration. End-User Training.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. Data Warehouse. Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

AWS Big Data

JUNE 28, 2023

Data is at the center of every application, process, and business decision. When data is used to improve customer experiences and drive innovation, it can lead to business growth. However, to realize this growth, managing and preparing the data for analysis has to get easier. ETL can be challenging, time-consuming, and costly.

Analytics 71

Analytics Data Warehouse Data Lake Data-driven 71

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. Data had to be manually processed by data analysts, and data mining took a long time.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Jet Global

MAY 20, 2022

The beauty of enterprise resource planning (ERP) software is its ability to provide a central view of your organization’s financial, operational, and business data. Overly complex ERP report writers and BI tools , requiring deep technical skills to understand and work with the data. Easy-To-Understand Financial and Operational Data.

Reporting 52

Reporting Optimization Operational Reporting IT 52

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

AWS Big Data

MARCH 3, 2023

Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights. Each of these tools has its own reporting capabilities that make it difficult to combine the data for integrated and actionable business insights. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 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 71

Modeling Sales Data Warehouse Snapshot 71

FineReport

AUGUST 14, 2020

The reporting system is a general term applied to a wide range of applications that extract data from databases, organize these data into reports, manage and distribute these reports to the decision-makers to help them make better-informed business choices. Making operation and maintenance easy is also of great importance. .

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Production Monitoring Only.

Testing 300

Testing Machine Learning Consulting Data Quality 300

BizAcuity

MAY 16, 2022

Fast food companies like Domino’s, McDonald’s and KFC collect massive amounts of data which includes customer data and other key business metrics for their own operations. Also, it is using customer data that they experiment and roll out new products every month. So, make sure you have a data strategy in place.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52