Cloudera

OCTOBER 11, 2021

And most importantly, it democratizes access to end-users, such as Data Engineering teams, Data Science teams, and even citizen data scientists, across the organization while ensuring compliance with data governance policies are met. Cloud Speed and Scale. Modak Nabu TM and CDE’s Spark-on-Kubernetes.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

IBM Big Data Hub

JUNE 15, 2023

watsonx.data is truly open and interoperable The solution leverages not just open-source technologies, but those with open-source project governance and diverse communities of users and contributors, like Apache Iceberg and Presto, hosted by the Linux Foundation. This provides further opportunities for cost optimization.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

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

AUGUST 19, 2024

This report is essential for understanding revenue streams, identifying opportunities for optimization, and making data-driven decisions regarding pricing and promotions. Refer to Editing AWS Glue managed data transform nodes for more information. For more information on AWS Glue, visit AWS Glue.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

Octopai

JUNE 9, 2024

The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. These data products were intended to enhance patient outcomes, streamline hospital operations, and provide actionable insights for decision-making.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Metrics 52

Metrics Dashboards Sales Reporting 52

Alation

JANUARY 17, 2023

Data literacy — Employees can interpret and analyze data to draw logical conclusions; they can also identify subject matter experts best equipped to educate on specific data assets. Data governance is a key use case of the modern data stack. Who Can Adopt the Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

Birst BI

FEBRUARY 25, 2020

Data never leaves Snowflake with Birst’s ability to support the reporting and self-service needs of both centralized IT and decentralized LOB teams. Birst’s real-time connectivity to Snowflake delivers a full-stack BI solution with enterprise-grade security, data governance & auditing for organizations of any size and scale.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Alation

DECEMBER 7, 2021

This platform should: Connect to diverse data sources (on-prem, hybrid, legacy, or modern). Extract data quality information. Monitor data anomalies and data drift. Track how data transforms, noting unexpected changes during its lifecycle.

Data Quality 52

Data Quality Data-driven Metrics Dashboards 52

Anmut

APRIL 6, 2022

Now we’d like to discuss how you can start extracting maximum value from your data by taking a closer look at what data asset management looks like in practice. Data asset management is a holistic approach to managing your data assets. Data transformation is a marathon, not a sprint.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 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 Visualization 52

Jet Global

MARCH 13, 2024

Complex Data Structures and Integration Processes Dynamics data structures are already complex – finance teams navigating Dynamics data frequently require IT department support to complete their routine reporting.

Reporting 52

Reporting Finance Data Quality Sales 52

AWS Big Data

APRIL 29, 2025

While enabling organization-wide efficiency, the team also applied these principles to the data architecture, making sure that CLEA itself operates frugally. After evaluating various tools, we built a serverless data transformation pipeline using Amazon Athena and dbt. However, our initial data architecture led to challenges.

Data Transformation 54

Data Transformation Cost-Benefit Testing Data Lake 54

CIO Business Intelligence

JANUARY 24, 2024

Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency. IoT, Web Scraping, API, IDP, RPA Data Processing Data Pipelines and Analysis Layer Employ data pipelines with algorithms to filter, sort, and interpret data, transforming raw information into actionable insights.

IoT 118

IoT Machine Learning Internet of Things Optimization 118

CIO Business Intelligence

JANUARY 10, 2025

Tableau developer: Tableau developers create interactive dashboards and reports. Tableau software trainer: Tableau software trainers enhance data literacy across organizations so employees can make better use of Tableau. Tableau visualization expert: These professionals combine analytics and art to make interactive dashboards pop.

Data Analytics 105

Data Analytics Analytics Consulting Visualization 105