Summary of New Developments in the Open Source Ecosystem: Apache Spark 3 0, Delta Lake, and Koalas

00:00:00 - 00:35:00

The presenter discusses new developments in the Apache Spark ecosystem, including Apache Spark 3.0, Delta Lake, and Koalas. He demonstrates how to use Apache Spark to generate a forecast of sales for a particular product, using aggregate data from a traditional data warehouse and Delta tables to ensure data consistency.

• 00:00:00 The Apache Spark ecosystem is expanding with new developments in the Open Source Ecosystem, including Apache Spark 3.0, Delta Lake, and Koalas. Spark is able to improve its Sequel Optimizer and bring acid transactions to Apache Spark, which makes it easier to work with large data sets and manage failures and concurrent updates.
• 00:05:00 The video discusses the new features in Apache Spark 3.0 and Delta Lake, which include improved optimizer and data source v2. Delta Lake allows for adaptive query execution, which helps reduce the cost of certain types of joins. Spark 3.0 also introduces dynamic partition pruning, which helps reduce the amount of data required to be scanned by the system. Finally, Spark 3.0 improves TP CVS performance by as much as 17 X.
• 00:10:00 Apache Spark 3.0, Delta Lake, and Koalas are some of the latest developments in the open source ecosystem. Delta Lake is a streaming API for Apache Spark that makes it easier to process large amounts of data.
• 00:15:00 The video discusses developments in the open source ecosystem, including Apache Spark 3.0, Delta Lake, and Koalas. The presenter demonstrates how to use Apache Spark to generate a forecast of sales for a particular product, using aggregate data from a traditional data warehouse and Delta tables to ensure data consistency.
• 00:20:00 In this video, the presenter discusses how Delta Lake and Apache Spark work together to provide isolation and durability on all your operations and how Delta's Park can help with data quality. Additionally, the presenter demonstrates how to use Delta Lake to generate a forecast for two upcoming months.
• 00:25:00 Koalas is an open-source library that helps speed up the process of migrating code from Pandas to Spark. Koalas can be installed via pip or conda and can be used in place of Pandas for data analysis. The data set used in this demonstration was from Beer Advocate. By loading in the entire data set, pandas hit its limits. By using Koalas, the data analyst was able to perform exploratory data analysis on a subset of the data, and learn about the most popular beer styles.
• 00:30:00 This video demonstrates some new developments in the Apache Spark ecosystem, including Apache Spark 3.0, Delta Lake, and Koalas. Spark allows you to easily load in data and analyze it using sequel and visualizations without needing to down sample the data. Heineken Amstell and Grolsch are among the top rated beers in the Netherlands, and the beard has at least 30 reviews.
• 00:35:00 The fastest, best-ever release of Apache Spark 3.0 is available, and Delta Lake brings acid transactions into the Spark ecosystem. Koalas means that existing Python code can take advantage of all of the new technology in Spark. There is one other exciting announcement tomorrow, so stay tuned!