Analytics Vidhya

FEBRUARY 19, 2023

Introduction Data pipelines play a critical role in the processing and management of data in modern organizations. A well-designed data pipeline can help organizations extract valuable insights from their data, automate tedious manual processes, and ensure the accuracy of data processing. Overall, data pipelines are a critical component of any data-driven organization, helping to ensure […] The post Top 10 Data Pipeline Interview Questions to Read in 2023 appeared first on Analytics Vidhy

Data Pipeline 197

Data Pipeline Data Designing Data Process 197

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. Projects like Apache Iceberg provide a viable alternative in the form of data lakehouses that provide the scalability and flexibility of data lakes, combined with the ease of use and performance of data warehouses.

IT 147

IT Data Lake Metadata Data Warehouse 147

Cloudyard

FEBRUARY 19, 2023

Read Time: 2 Minute, 34 Second During this post we will discuss an interesting scenario to integrate Snowflake and salesforce. As per the need we don’t want to get data to be ingested into Salesforce from Snowflake. Salesforce users want to have the access of Snowflake data without moving it. They want the data should be readily available to them in dashboard or visualization form.

ETL Tools 52

ETL Tools Datasets Python Accessible 52

Data Engineering Weekly

FEBRUARY 19, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. Netflix: Scaling Media Machine Learning at Netflix Netflix writes about media machine learning infrastructure and media-focused ML infrastructure to reduce the time from ideation to productization for media ML practitioners.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science