In charts: 7 global shifts defining 2025 so far | World Economic Forum
Technological change, geoeconomic fragmentation, economic uncertainty, demographic shifts and the green transition – individually and in combination are among the major drivers expected to shape and transform the global labour market by 2030. The Future of Jobs Report 2025 brings together the perspective of over 1,000 leading global employers—collectively representing more than 14 million ...
This blog contains the full transcript of a special address by Mark Carney, Prime Minister of Canada, delivered at the World Economic Forum's Annual Meeting 2026 in Davos. Carney emphasized the end of the rules-based international order and outlined how Canada was adapting by building strategic autonomy while maintaining values like human rights and sovereignty. The Canadian PM called for ...
GDP has been used as a measure of economic growth since 1937. But the need for wellbeing metrics is bringing its relevance into question. Know what is GDP and why it matters.
GDP: What is it and why does it matter? - World Economic Forum
The key economic takeaways from Davos 2026 show resilience in the global economy after a turbulent year, even as experts warn that underlying pressures are starting to emerge.
2025 has been marked by significant global shifts, including increased geopolitical instability, the accelerating impact of AI and a changing labour market.
Frontier technologies such as AI are transforming jobs and skills. Here are the top trends to know at the World Economic Forum's Annual Meeting 2026.
Learn about World Economic Forum's latest work and impact through the latest key messages on our Homepage.
Once framed predominantly as an environmental imperative, circularity is now an essential economic and industrial strategy that belongs in every boardroom.
The Annual Meeting 2026 of the World Economic Forum will take place at Davos-Klosters from 19th to 23rd January.
Drawing on insights from more than 450 executives in the World Economic Forum’s AI Transformation of Industries community, it highlights a shift from isolated use cases to connected systems, from episodic initiatives to continuous processes and from task automation to human value creation.
What is the G20 and why does it matter? | World Economic Forum
Explore stories about sustainable economic growth from the World Economic Forum, featuring strategies for increasing prosperity, promoting inclusivity, and reducing global inequality.
Amazon just launched an interesting experiment called "Spark" - a social network that takes products available through the online retail giant and marries them with an Instagram-style feed. All you ...
The Hechinger Report: STUDENT VOICE: Learning to debate is an important facet of education, but too often public school students are left out
High school students compete in the Congressional Debate at the National Speech and Debate Tournament in Des Moines, Iowa, in June. Credit: Meenakshi Van Zee for The Hechinger Report The Hechinger ...
STUDENT VOICE: Learning to debate is an important facet of education, but too often public school students are left out
The New York Times: Debate Shows Are Having a Moment. Here Come the Democrats.
Learn about what a formal debate is, plus get examples of different types of debates and see observations about the topic from well-known figures.
High school debates topics can include the the legalization of cannabis, the ethics of animal testing, and the effects of video games on behavior.
These five websites offer interactive platforms for educators to use for resources and for students to participate in the practice of debate.
Here are four easy-to-use debate formats that can be implemented in the secondary classroom in any discipline.
Debates keep middle schoolers captivated while developing their public speaking and critical thinking skills. Here are 62 debate topics to consider.
The pro-life vs. pro-choice debate is central to American social policy, religion, and culture. What does each side believe?
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Spark Connect is a new client-server architecture introduced in Spark 3.4 that decouples Spark client applications and allows remote connectivity to Spark clusters.
Hands-On Exercises Hands-on exercises from Spark Summit 2014. These let you install Spark on your laptop and learn basic concepts, Spark SQL, Spark Streaming, GraphX and MLlib. Hands-on exercises from Spark Summit 2013. These exercises let you launch a small EC2 cluster, load a dataset, and query it with Spark, Shark, Spark Streaming, and MLlib.
Quick Start Interactive Analysis with the Spark Shell Basics More on Dataset Operations Caching Self-Contained Applications Where to Go from Here This tutorial provides a quick introduction to using Spark. We will first introduce the API through Spark’s interactive shell (in Python or Scala), then show how to write applications in Java, Scala, and Python. To follow along with this guide ...
The Spark shell and spark-submit tool support two ways to load configurations dynamically. The first is command line options, such as --master, as shown above. spark-submit can accept any Spark property using the --conf/-c flag, but uses special flags for properties that play a part in launching the Spark application.
PySpark Overview # Date: Version: 4.1.1 Useful links: Live Notebook | GitHub | Issues | Examples | Community | Stack Overflow | Dev Mailing List | User Mailing List PySpark is the Python API for Apache Spark. It enables you to perform real-time, large-scale data processing in a distributed environment using Python. It also provides a PySpark shell for interactively analyzing your ...
Spark SQL is Spark's module for working with structured data, either within Spark programs or through standard JDBC and ODBC connectors.
Apache Spark ™ examples This page shows you how to use different Apache Spark APIs with simple examples. Spark is a great engine for small and large datasets. It can be used with single-node/localhost environments, or distributed clusters. Spark’s expansive API, excellent performance, and flexibility make it a good option for many analyses.
Spark SQL, DataFrames and Datasets Guide Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed.