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 109

Data Warehouse Data 109

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 94

Building Data 94

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 83

Metadata BI Data Lake Business Intelligence 83

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 81

Government Algorithm Cloud Data Governance 81

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

KDnuggets

OCTOBER 23, 2024

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

Deep Learning 100

Deep Learning 100

Scott Logic

OCTOBER 23, 2024

In the second in our series of blogs setting out how we work with our clients, we discuss our approach to Delivery. You can read about our approach to Architecture here. At Scott Logic, we deliver complex, business-critical solutions for some of the world’s largest institutions, across a range of industries and domains. Our reputation for delivery excellence comes not just from delivering maximum value, on time and on budget, but from an approach deeply rooted in our values and in our desire to

Project 52

Project Government Management Architecture 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

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

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