datapine

SEPTEMBER 29, 2022

He/she assists the organization by providing clarity and insight into advanced data technology solutions. As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Here, it all comes down to the data transformation error rate.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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

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 99

Dashboards Testing Data-driven Visualization 99

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

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

Sisense

OCTOBER 15, 2020

Let’s look at a few ways that different industries take advantage of streaming data. How industries can benefit from streaming data. Automotive: Monitoring connected, autonomous cars in real time to optimize routes to avoid traffic and for diagnosis of mechanical issues. Optimizing object storage. Step 4: Query.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

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

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 94

Data Warehouse Analytics Testing Sales 94

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

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 118

Cost-Benefit Machine Learning Dashboards Management 118

AWS Big Data

FEBRUARY 6, 2023

Amazon QuickSight dashboards showcase the results from the analyzer. Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget.

Dashboards 85

Dashboards Optimization Data Lake Cost-Benefit 85

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 90

Slice and Dice Dashboards Analytics Interactive 90

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 95

Analytics Data Warehouse Big Data Metrics 95

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

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. The serverless architecture features auto scaling, high availability, and a pay-as-you-go billing model to increase agility and optimize costs. On the Datasets page, choose New data set.

Visualization 111

Visualization Dashboards Data-driven Gap analysis 111

AWS Big Data

SEPTEMBER 5, 2024

With auto-copy, automation enhances the COPY command by adding jobs for automatic ingestion of data. If storing operational data in a data warehouse is a requirement, synchronization of tables between operational data stores and Amazon Redshift tables is supported.

IoT 107

IoT Data Warehouse Cost-Benefit Reporting 107

IBM Big Data Hub

JUNE 15, 2023

The data lakehouse architecture combines the flexibility, scalability and cost advantages of data lakes with the performance, functionality and usability of data warehouses to deliver optimal price-performance for a variety of data, analytics and AI workloads.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

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 52

Data Warehouse Data Architecture Machine Learning Data Transformation 52

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 87

Dashboards Statistics Data Collection Business Intelligence 87

AWS Big Data

MAY 3, 2023

In this post, we provide a detailed overview of streaming messages with Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon ElastiCache for Redis , covering technical aspects and design considerations that are essential for achieving optimal results. We also discuss the key features, considerations, and design of the solution.

IoT 110

IoT Internet of Things Data Transformation Management 110

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 67

Analytics Reporting Dashboards Visualization 67

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift enables you to use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price-performance at scale. These query patterns and concurrency were unpredictable in nature.

Data Warehouse 105

Data Warehouse Analytics Data Lake Data Science 105

CIO Business Intelligence

NOVEMBER 7, 2023

Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. The aim is to normalize, aggregate, and eventually make available to analysts across the organization data that originates in various pockets of the enterprise.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

AWS Big Data

AUGUST 19, 2024

In this post, we explore how AWS Glue can serve as the data integration service to bring the data from Snowflake for your data integration strategy, enabling you to harness the power of your data ecosystem and drive meaningful outcomes across various use cases. Store the extracted and transformed data in Amazon S3.

Analytics 108

Analytics Data-driven Data Integration Data Lake 108

AWS Big Data

MARCH 3, 2023

Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9 Let’s refer to this S3 bucket as the raw layer.

Data Lake 92

Data Lake Dashboards Metrics Metadata 92

AWS Big Data

MARCH 15, 2023

Infomedia was looking to build a cloud-based data platform to take advantage of highly scalable data storage with flexible and cloud-native processing tools to ingest, transform, and deliver datasets to their SaaS applications. The raw input data is stored in Amazon S3 in JSON format (called the bronze dataset layer).

Cost-Benefit 74

Cost-Benefit Data Processing Optimization Data-driven 74

AWS Big Data

SEPTEMBER 19, 2023

We choose AWS Glue mainly due to its serverless nature, which simplifies infrastructure management with automatic provisioning and worker management, and the ability to perform complex data transformations at scale. To achieve cost efficiency, our team built a cost attribution dashboard based on AWS cost allocation tags.

Analytics 92

Analytics Risk Big Data Machine Learning 92

AWS Big Data

NOVEMBER 16, 2023

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0

Enterprise 99

Enterprise Data Warehouse Data Lake Optimization 99

BizAcuity

APRIL 1, 2023

So, you can choose to use Power BI Pro if you are a heavy business analytics user using it regularly for creating and consuming data using dashboards, data, and reports. Power BI challenges in handling large data volume For all data sources used in the Power BI service, the following considerations and limitations apply.

Dashboards 52

Dashboards Optimization Sales Modeling 52

BizAcuity

SEPTEMBER 21, 2022

So, you can choose to use Power BI Pro if you are a heavy business analytics user using it regularly for creating and consuming data using dashboards, data, and reports. Power BI challenges in handling large data volume. For all data sources used in the Power BI service, the following considerations and limitations apply.

Dashboards 52

Dashboards Optimization Sales Modeling 52

Octopai

JUNE 9, 2024

By doing so, they aimed to drive innovation, optimize operations, and enhance patient care. They invested heavily in data infrastructure and hired a talented team of data scientists and analysts. Predictive analytics models became more accurate as they were based on trustworthy data flows.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

AWS Big Data

FEBRUARY 6, 2023

When migrating Hadoop workloads to Amazon EMR , it’s often difficult to identify the optimal cluster configuration without analyzing existing workloads by hand. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. For more information, see the GitHub repo.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Best BI Tools for Data Analysts 3.1 Why is Choosing the Best BI Tools Important?

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 78

Reporting Metrics Optimization Data Lake 78

IBM Big Data Hub

OCTOBER 16, 2023

It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence.

Risk 70

Risk Modeling Management Metadata 70

FineReport

JUNE 7, 2024

Through different types of graphs and interactive dashboards , business insights are uncovered, enabling organizations to adapt quickly to market changes and seize opportunities. Criteria for Top Data Visualization Companies Innovation and Technology Cutting-edge technology lies at the core of top data visualization companies.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52