KDnuggets

OCTOBER 23, 2024

This comparison analyzes and compares two salient frameworks for architecting deep learning solutions.

Deep Learning 137

Deep Learning 137

databricks

OCTOBER 23, 2024

Migrating your data warehouse workloads is one of the most challenging yet essential tasks for any organization. Whether the motivation is the growth.

Data Warehouse 116

Data Warehouse Data 116

KDnuggets

OCTOBER 23, 2024

Learn how to build interactive dashboards where users can interact with data in greater detail, explore trends and patterns dynamically using D3.js.

Building 133

Building Data 133

Snowflake

OCTOBER 23, 2024

Imagine a biotech company successfully integrating AI into its research and development (R&D) processes. Using AI algorithms, users in every division of the company can perform advanced analytics, predictive modeling and simulation studies. These capabilities allow them to quickly identify therapeutic targets, design more efficient clinical trials and enhance drug development.

Government 84

Government Algorithm Cloud Data Governance 84

Advertisement

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. One of the most important innovations in data management is open table formats, specifically Apache Iceberg , which fundamentally transforms the way data teams manage operational metadata in the data lake.

Metadata 89

Metadata BI Data Lake Business Intelligence 89

Pinterest Engineering

OCTOBER 23, 2024

Yongjun Zhang; Staff Software Engineer | William Tom; Staff Software Engineer | Sandeep Kumar; Software Engineer | Monarch, Pinterest’s Batch Processing Platform, was initially designed to support Pinterest’s ever-growing number of Apache Spark and MapReduce workloads at scale. During Monarch’s inception in 2016, the most dominant batch processing technology around to build the platform was Apache Hadoop YARN.

AWS 52

AWS Hadoop Management Algorithm 52

Confluent

OCTOBER 23, 2024

Join the Confluent AI Accelerator Program to help AI startups harness real-time AI and data streaming for innovation, growth, and cutting-edge AI-powered applications.

Programming 52

Programming Data 52

Monte Carlo

OCTOBER 23, 2024

Since Zhamak Deghani introduced the concept of the data mesh in 2019, this decentralized approach to data architecture has generated an enormous amount of buzz. But what does it actually look like to implement a data mesh at scale? The data team at Roche has the answer. Headquartered in Switzerland, Roche is a leading, global pharmaceutical and diagnostics company creating and leveraging massive amounts of organizational data.

Manufacturing 52

Manufacturing Pharmaceutical Data Architect Data 52

RandomTrees

OCTOBER 23, 2024

The world is currently in the middle of a transition towards renewable energy sources such as wind, solar, and hydroelectricity from fossil fuels. The importance of Artificial Intelligence (AI) and Data Analytics in renewable energy is increasing with the accelerating pace of this transition. These technologies are also crucial to address challenges that exist within the energy industry, optimize operations, and enable renewable energy to satisfy rising global demand.

Data Analytics 52

Data Analytics Data Science Algorithm Data 52