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 104

Data Warehouse Testing Data Quality Reporting 104

AWS Big Data

JANUARY 27, 2023

You can visualize the PCA insights in the business intelligence (BI) tool Amazon QuickSight for advanced analysis. 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.

Analytics 60

Analytics Reporting Dashboards Visualization 60

IBM Big Data Hub

APRIL 14, 2023

Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas. Dashboards and reports The system included reports and dashboards based on deployed budget models. Focus areas include IBM solutions financial consolidation and reporting, and data transformation.

Forecasting 72

Forecasting Sales Dashboards Reporting 72

IBM Big Data Hub

OCTOBER 16, 2023

A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence. It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data.

Risk 77

Risk Modeling Management Metadata 77

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. SharePoint.

Management 84

Management Data Warehouse Digital Transformation Dashboards 84

FineReport

APRIL 21, 2024

From addressing implementation challenges to conducting a comparative analysis of leading options, we delve into how embedded BI tools empower organizations to make informed decisions and drive business intelligence initiatives with unprecedented efficiency and precision. What Are Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

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 104

Management Metadata Analytics Dashboards 104

AWS Big Data

NOVEMBER 13, 2023

Gameskraft used Amazon Redshift workload management (WLM) to manage priorities within workloads, with higher priority being assigned to the extract, transform, and load (ETL) queue that runs critical jobs for data producers. These query patterns and concurrency were unpredictable in nature.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

Sisense

MAY 11, 2021

Data teams dealing with larger, faster-moving cloud datasets needed more robust tools to perform deeper analyses and set the stage for next-level applications like machine learning and natural language processing. Big data challenges and solutions. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

MARCH 3, 2023

Initially, Tricentis defines these dashboards and charts to enable insight on test runs, test traceability with requirements, and many other pre-defined use cases that can be valuable to customers. As the files are created, another process is triggered to load the data from each customer on their schema or table on Amazon Redshift.

Software 52

Software Data Lake Testing Cost-Benefit 52

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. Business analysts use SageMaker Canvas to build ML models and generate predictions without needing to write code.

Dashboards 75

Dashboards Data-driven Data Integration Data Lake 75

AWS Big Data

SEPTEMBER 19, 2023

However, our legacy data warehouse-based solution was not equipped for this challenge. It was designed to manage complex queries and business intelligence (BI) use cases on a large scale. As a result, end users were able to define jobs with declarative YAML configurations and define transformation logic with SQL.

Analytics 78

Analytics Risk Big Data Machine Learning 78

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. 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

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. that gathers data from many sources. Their dashboards were visually stunning. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52