datapine

MAY 2, 2023

Benefits Of Big Data In Logistics Before we look at our selection of practical examples and applications, let’s look at the benefits of big data in logistics – starting with the (not so) small matter of costs. Use our 14-days free trial today & transform your supply chain! Now’s the time to strike.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Wayne Yaddow

FEBRUARY 26, 2025

AI is transforming how senior data engineers and data scientists validate data transformations and conversions. Artificial intelligence-based verification approaches aid in the detection of anomalies, the enforcement of data integrity, and the optimization of pipelines for improved efficiency.

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

AWS Big Data

NOVEMBER 15, 2023

The CLEA dashboards were built on the foundation of the Well-Architected Lab. For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. The difference lies in when and where data transformation takes place. These ingested datasets are used as a source in CLEA dashboards.

Analytics 109

Analytics Dashboards Metadata Data Warehouse 109

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

AWS Big Data

JULY 18, 2024

The main driving factors include lower total cost of ownership, scalability, stability, improved ingestion connectors (such as Data Prepper , Fluent Bit, and OpenSearch Ingestion), elimination of external cluster managers like Zookeeper, enhanced reporting, and rich visualizations with OpenSearch Dashboards.

Dashboards 112

Dashboards Testing Data-driven Visualization 112

AWS Big Data

NOVEMBER 22, 2024

In this post, we’ll walk through an example ETL process that uses session reuse to efficiently create, populate, and query temporary staging tables across the full data transformation workflow—all within the same persistent Amazon Redshift database session. Building a serverless data processing workflow.

Data Warehouse 104

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 104

Smart Data Collective

APRIL 29, 2020

The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. Amazon Web Services.

Management 99

Management Data Warehouse Digital Transformation Dashboards 99

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website. SDK Feature overview The QuickSight SDK v2.0

Slice and Dice 98

Slice and Dice Dashboards Analytics Interactive 98

AWS Big Data

OCTOBER 11, 2023

Key performance indicators (KPIs) of interest for a call center from a near-real-time platform could be calls waiting in the queue, highlighted in a performance dashboard within a few seconds of data ingestion from call center streams. Visualize KPIs of call center performance in near-real time through OpenSearch Dashboards.

Management 130

Management Metadata Analytics Dashboards 130

O'Reilly on Data

OCTOBER 19, 2021

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. Model Development.

IT 364

IT Testing Experimentation Software 364

AWS Big Data

DECEMBER 5, 2023

HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results. The following are sample screenshots of the dashboards that show survey responses by zip code.

Measurement 104

Measurement Dashboards Data Warehouse Analytics 104

AWS Big Data

OCTOBER 30, 2024

Once the connection is established with the success message, you now view your project’s subscribed data directly within Tableau and build dashboards. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management.

Visualization 117

Visualization Data Lake Testing Data Governance 117

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Their product is the data.

Testing 154

Testing Dashboards Measurement Experimentation 154

CIO Business Intelligence

APRIL 30, 2024

This feature enables users to save calculations from a Tableau dashboard directly to Tableau’s metrics layer so they can monitor and track the information over time. Einstein Copilot for Tableau remains in beta, but Tableau announced two new features for the AI assistant as well: AI-assisted data transformation.

Analytics 96

Analytics Metrics Visualization Dashboards 96

AWS Big Data

NOVEMBER 27, 2024

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments.

Data Warehouse 108

Data Warehouse Analytics Testing Sales 108

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

O'Reilly on Data

JANUARY 17, 2023

That takes us to a conspicuous omission from that list of roles: the data scientists who focused on building basic models. AutoML tools are doing most of that work now, in the same way that the basic dashboards or visualizations are now the domain of self-service tools like AWS QuickSight, Google Data Studio, or Tableau.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

AWS Big Data

JULY 25, 2024

In addition, with OpenSearch Service, you get advanced security with fine-grained access control, the ability to store and analyze log data for observability and security, along with dashboarding and alerting. You’ll have all of CloudSearch’s capabilities and more.

Cost-Benefit 125

Cost-Benefit Machine Learning Dashboards Management 125

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 87

Metrics Slice and Dice Data Warehouse Dashboards 87

AWS Big Data

MAY 16, 2023

QuickSight meets varying analytics needs with modern interactive dashboards, paginated reports, natural language queries, ML-insights, and embedded analytics, from one unified service. The AWS Glue Data Catalog contains the table definitions for the smart sensor data sources stored in the S3 buckets.

Dashboards 98

Dashboards Statistics Data Collection Business Intelligence 98

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

AWS Big Data

JANUARY 27, 2023

In this post, we show you how to use PCA’s data to build automated QuickSight dashboards for advanced analytics to assist in quality assurance (QA) and quality management (QM) processes. You can apply data, agent, call duration, and language filters for targeted search. Select -PCA-Dashboard and choose Share.

Analytics 86

Analytics Reporting Dashboards Visualization 86

Jen Stirrup

NOVEMBER 30, 2021

In this session, we will start R right from the beginning, from installing R through to data transformation and integration, through to visualizing data by using R in PowerBI. Then, we will move towards powerful but simple to use datatypes in R such as data frames. CuRious about R in Power BI?

Visualization 92

Visualization Dashboards Data Transformation Publishing 92

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. As shown in the following figure, once the data ingestion and data analysis are complete, the queries are built using Athena. On the Datasets page, choose New data set.

Visualization 117

Visualization Dashboards Data-driven Gap analysis 117

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 125

Data Warehouse Testing Data Quality Reporting 125

Sisense

OCTOBER 15, 2020

Note that during this entire process, the user didn’t need to define anything except data transformations: The processing job is automatically orchestrated, and exactly-once data consistency is guaranteed by the engine. Log in to your Sisense environment with at least data designer privileges. Step 4: Query.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

DECEMBER 21, 2023

Choose the link under OpenSearch Dashboards URL. After the job runs successfully, navigate to OpenSearch Dashboards, and log in to the dashboard. Choose Dashboards Management on the navigation menu. This enables organizations to streamline data integration and analytics with OpenSearch Service.

Analytics 109

Analytics IT Data Lake Visualization 109

AWS Big Data

FEBRUARY 6, 2023

Amazon QuickSight dashboards showcase the results from the analyzer. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget. This step creates datasets on QuickSight dashboards in your AWS target account.

Dashboards 98

Dashboards Optimization Data Lake Cost-Benefit 98

AWS Big Data

JUNE 20, 2023

Kinesis Data Firehose is a fully managed service for delivering near-real-time streaming data to various destinations for storage and performing near-real-time analytics. You can perform analytics on VPC flow logs delivered from your VPC using the Kinesis Data Firehose integration with Datadog as a destination.

Dashboards 98

Dashboards Visualization Metrics Data Transformation 98

AWS Big Data

JANUARY 6, 2025

With Amazon AppFlow, you can run data flows at nearly any scale and at the frequency you chooseon a schedule, in response to a business event, or on demand. You can configure data transformation capabilities such as filtering and validation to generate rich, ready-to-use data as part of the flow itself, without additional steps.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

Cloudera

OCTOBER 11, 2021

Modak Nabu relies on a framework of “Botworks”, a series of micro-jobs to accomplish various data transformation steps from ingestion to profiling, and indexing. Cloudera Data Engineering within CDP provides : Fully managed Spark-on-Kubernetes service that hides the complexity running production DE workloads at scale.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

AWS Big Data

JANUARY 30, 2025

Pattern 1: Data transformation, load, and unload Several of our data pipelines included significant data transformation steps, which were primarily performed through SQL statements executed by Amazon Redshift. The following Diagram 2 shows this workflow.

Data Warehouse 54

Data Warehouse Data Architecture Machine Learning Data Transformation 54

DataKitchen

OCTOBER 25, 2022

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. DataOps Observability Starts with Data Journeys. Jason considers his dashboard idea but quickly realizes the complexity of building such a system.

Testing 130

Testing Data-driven Visualization Dashboards 130

CIO Business Intelligence

APRIL 8, 2025

Build data validation rules directly into ingestion layers so that insufficient data is stopped at the gate and not detected after damage is done. Use lineage tooling to trace data from source to report. Understanding how data transforms and where it breaks is crucial for audibility and root-cause resolution.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

NOVEMBER 7, 2023

Second, organizations still need transformations like cleansing, deduplication, and combining datasets for analysis and machine learning (ML). For these, AWS Glue provides fast, scalable data transformation. They used Amazon Aurora MySQL zero-ETL integration with Amazon Redshift to achieve this.

Dashboards 78

Dashboards Data-driven Data Integration Data Lake 78

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. The data warehouse is highly business critical with minimal allowable downtime. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113