Databricks Migration Strategy - lessons learned
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.
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.
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.
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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.
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.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
KDnuggets
OCTOBER 23, 2024
This comparison analyzes and compares two salient frameworks for architecting deep learning solutions.
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
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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.
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.
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.
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