AWS Big Data

FEBRUARY 26, 2024

In cases where your application demands supplementary query features, such as conducting full-text searches on the data stored in a table, you may explore the utilization of alternative services like Amazon OpenSearch Service to meet these particular needs. Choose the Test tab. For Method type ¸ choose POST.

Dashboards 65

Dashboards Testing Metrics Optimization 65

Alation

FEBRUARY 20, 2020

REFLECTIONS FROM THE GARTNER BI & ANALYTICS SUMMIT I hate to admit that the last time I attended the Gartner BI & Analytics Summit, Howard Dresner was still the host. For me personally, it was an amazing return this year to the now appropriately re-named, Gartner BI & Analytics Summit held in Grapevine, Texas.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Choose Save changes.

Sales 52

Sales Data Warehouse Visualization Testing 52

CIO Business Intelligence

JUNE 13, 2022

According to Evanta’s 2022 CIO Leadership Perspectives study, CIOs’ second top priority within the IT function is around data and analytics, with CIOs seeing advancing organizational use of data as key to reaching enterprise objectives. To get there, Angel-Johnson has embarked on a master data management initiative.

IT 144

IT Digital Transformation Strategy Internet of Things 144

AWS Big Data

APRIL 25, 2023

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. However, for quick testing purposes, we demonstrate how to manually run the flow on demand.

Sales 74

Sales Visualization Software Marketing 74

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 109

Management Metadata Analytics Dashboards 109

AWS Big Data

OCTOBER 31, 2023

The solution provides an end-to-end automated workflow that includes data ingestion, transformation, analytics, and consumption. The data used for transformation and analysis is based on the publicly available New York Citi Bike dataset. The requirements file is based on Amazon MWAA version 2.6.3.

Data Processing 93

Data Processing Management Publishing Testing 93

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. Navigate to the side menu Virtual clusters , then select the HiveDemo cluster , You can see an entry for the SparkSQL test job.

Big Data 83

Big Data Data Processing Interactive Testing 83

Alation

JANUARY 17, 2023

This shift addresses a growing demand for data access, which the modern data stack enables with cloud-based services and integration. There has also been a paradigm shift toward agile analytics and flexible options, where data assets can be moved around more quickly and easily, and not locked into a single vendor.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

IBM Big Data Hub

JULY 17, 2023

Visual modeling: Delivers easy-to-use workflows for data scientists to build data preparation and predictive machine learning pipelines that include text analytics, visualizations and a variety of modeling methods. ” Vitaly Tsivin, EVP Business Intelligence at AMC Networks.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

AWS Big Data

FEBRUARY 21, 2023

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. Their costs were climbing.

Cost-Benefit 56

Cost-Benefit Informatics Optimization Management 56

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. Today, lawmakers impose larger and larger fines on the organizations handling this data that don’t properly protect it.

Data Governance 52

Data Governance Measurement Metrics Modeling 52

FineReport

MARCH 31, 2024

Through meticulous testing and research, we’ve curated a list of the ten best BI tools, ensuring accessibility and efficacy for businesses of all sizes. In essence, the core capabilities of the best BI tools revolve around four essential functions: data integration, data transformation, data visualization, and reporting.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 93

Data Lake Data Warehouse Data-driven B2B 93

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52