Apache spark tutorial. Learn more about Apache Architecture.

Apache spark tutorial Its primary strength lies in its speed and ease of use. We discuss key concepts briefly, so you can get right down to writing your first Apache Spark job. Spark is a great engine for small and large datasets. Learn more about Apache Architecture. It includes a Spark MLlib use case on Earthquake Detection. Spark can process the data in real-time and batch mode. Spark is a unified analy This Apache Spark full course will help you learn the basics of Big Data, what Apache Spark is, and the architecture of Apache Spark. PySpark helps you interface with Apache Spark using the Python programming language, which is a flexible language that is easy to learn, implement, and maintain. Apache Spark is a powerful tool for big data processing, enabling developers to Feb 1, 2017 · A brief tutorial on how to create a web API using Spark Framework for Java. Spark’s expansive API, excellent performance, and flexibility make it a good option for many analyses. In this tutorial module, you will learn: Key Apache Spark interfaces How to write your Apache Spark™ Documentation Setup instructions, programming guides, and other documentation are available for each stable version of Spark below: Spark Feb 27, 2025 · This Spark Tutorial blog will introduce you to Apache Spark, its features and components. pdf What is PySpark? PySpark is the Python API for Apache Spark, an open-source framework designed for big data processing and analytics. Apache Spark | Databricks | PySpark | Big Data Engineering | Hadoop🔍 What You'll Learn:This 6+ hour video is your complete guide to mastering Apache Spark f Spark SQL, DataFrames and Datasets Guide Spark SQL is a Spark module for structured data processing. Dec 2, 2019 · We've compiled our best tutorials and articles on one of the most popular analytics engines for data processing, Apache Spark. It is designed to process large datasets quickly and efficiently across a cluster of machines. Nov 4, 2025 · PySpark on Databricks Databricks is built on top of Apache Spark, a unified analytics engine for big data and machine learning. Spark uses a specialized fundamental data structure known as RDD (Resilient Distributed Datasets) that is a logical collection of data partitioned across machines. So, we can say that Spark is a powerful open-source engine for data processing. It also provides many options for data visualization in Databricks. Originating from UC Berkeley’s AMPLab and now thriving under the Apache Software Foundation, Spark has become a cornerstone of data engineering worldwide. Neo4j / Apache Graph was using for graph processing. Objective – Spark Tutorial In this Spark Tutorial, we will see an overview of Spark in Big Data. There are live notebooks where you can try PySpark out without any other step: Live Notebook: DataFrame Live Notebook: Spark Connect Live Notebook: pandas API on Spark The Jun 27, 2025 · The Best Apache Spark tutorials for beginners to learn Apache Spark in 2025. Jun 26, 2024 · What is Pyspark? PySpark is the Python API for Apache Spark, a big data processing framework. There are more guides shared with other languages such as Quick Start in Programming Guides at the Spark documentation. Jul 22, 2024 · PySpark combines Python’s simplicity with Apache Spark’s powerful data processing capabilities. Furthermore, we will learn about Spark’s core abstraction and Spark RDD. gl/WrEKX9) will help you to understand all the basics of Apache Spark. Historically, Hadoop’s MapReduce prooved to be inefficient for some iterative and interactive computing jobs, which Following are an overview of the concepts and examples that we shall go through in these Apache Spark Tutorials. The reason is that Hadoop framework is based on a simple programming model (MapReduce) and it enables a computing solution that is scalable, flexible, fault-tolerant and cost effective. If you are a beginner in Spark and Scala, this tutorial is for you. 4K Apache Spark: Tutorials provide a detailed set of steps that a developer can follow to complete one or more tasks. 1 Python Spark Connect Client Spark Connect is a client-server architecture within Apache Spark that enables remote connectivity to Spark clusters from any application. Apache Spark Architecture with Spark Context Driver and Executor Andreas Kretz • 13K views • 6 years ago Quick guide to Apache Spark: Benefits, use cases, and tutorial Apache Spark is an open-source, distributed computing system for fast and general-purpose big data processing. apache: Getting-Data-in/out A tutorial on how to use Apache Spark MLlib to create a machine learning app that analyzes a dataset by using classification through logistic regression. Sep 12, 2025 · What is Apache Spark? Apache Spark is a distributed processing system used to perform big data and machine learning tasks on large datasets. In addition, it would be useful for Analytics Professionals and ETL developers as well. Explore Dataset operations, caching, and MapReduce flows with examples. Spark is designed to handle large-scale data processing and machine learning tasks. This tutorial covers the basics and core concepts of Spark, its history, and its components. This is a brief tutorial that explains Nov 10, 2020 · Previously we were using Apache Impala or Apache Tez for interactive processing. Includes Pytho May 21, 2020 · Hello guys, if you are thinking to learn Apache Spark to start your Big Data journey and looking for some awesome free resources like books, tutorials, and courses then you have come to the right Learn Apache Spark fundamentals, including RDDs, SQL, streaming, and architecture. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Moreover, we will learn why Spark is needed. Prerequisite About the Tutorial Apache Spark is a lightning-fast cluster computing designed for fast computation. The walkthrough includes open source code and a unit test. This tutorial covers Spark features, architecture, installation, RDD, DataFrame, SQL, data sources, streaming, graph frame and more. In this … Nov 4, 2025 · Azure Databricks is built on top of Apache Spark, a unified analytics engine for big data and machine learning. Master big data processing and distributed computing. Apache Spark Tutorial Introduction to Apache spark Mastering Apache Spark 2 Introduction of Apache Spark Overview of Apache Spark Apache Spark is a fast-growing and general-purpose cluster computing system. It offers a high-level API for Python programming language, enabling seamless integration with existing Python ecosystems. This tutorial will guide you through the essentials of using Apache Spark with Java, ideal for those looking to integrate Big Data processing into their Java applications. This is an introductory Guide to Spark Tutorial. Hands-on tutorials cover setup, programming, and advanced concepts for big data processing. Spark Streaming - Kafka messages in Avro format Spark Streaming - What is PySpark? Apache Spark is a powerful open-source data processing engine written in Scala, designed for large-scale data processing. We welcome contributions to both categories! Jul 28, 2017 · Apache Spark tutorial introduces you to big data processing, analysis and Machine Learning (ML) with PySpark. Previously, we had Hadoop's MapReduce framework for batch processing, but modern big data processing demands have outgrown it. 0. You will learn Scala, Apache Spark, Spark SQL and Spark streaming. Here, the main concern is to maintain speed in processing large datasets in terms of waiting time between queries Spark Tutorial - What's Next in Spark Batch Processing? Learning Journal • 13K views • 7 years ago Jul 18, 2025 · Apache Spark is an open-source distributed computing engine developed by the Apache Software Foundation. Nov 16, 2024 · PySpark Tutorial | Full Course (From Zero to Pro!) Introduction PySpark, a powerful data processing engine built on top of Apache Spark, has revolutionized how we handle big data. Dec 14, 2015 · I implement a realistic pipeline in Spark as part of my series on Hadoop frameworks. It starts with pre-requisites of spark, and follows the flow as described ahead :Apache Spark Streaming programming guide and tutorial for Spark 4. 5 Statistical Tests Hands-on guide to Apache Spark with Python (PySpark). Apache Spark Tutorial – Introduction Apache Spark is a cluster computing technology, built for fast computations. Understanding how to leverage Spark with Java opens This Spark Tutorial For Beginners will give an overview on the history of spark, what is spark, Batch vs real-time processing, Limitations of MapReduce in Hadoop, Introduction to Spark, Components Apache Spark - Introduction Industries are using Hadoop extensively to analyze their data sets. This tutorial, presented by DE Academy, explores the practical aspects of PySpark, making it an accessible and invaluable tool for aspiring data engineers. In this video series we will learn apache spark 2 from scratch. What is PySpark? PySpark is the Python API for Apache Spark, an open-source framework designed for big data processing and analytics. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. Apache Spark is taught from the point of view of Data Engineers, Big Data, Data Analytics and Data Science. No prior PySpark experience is necessary, making it perfect for newcomers. As mentioned above, in Spark 2. PySpark combines the power of Python In our PySpark tutorial video, we covered various topics, including Spark installation, SparkContext, SparkSession, RDD transformations and actions, Spark DataFrames, Spark SQL, and more. End-End apps/scenarios - Real world examples of industry standard benchmarks, usecases and business applications implemented using . Spark Tutorial. It includes a Spark use cases. In the other tutorial modules in this guide, you will have the opportunity to go deeper into the topic of your choice. 1 Apache Spark is taught from the point of view of Data Engineers, Big Data, Data Analytics and Data Science. What is Apache Spark? Learn Apache Spark in 15 Minutes Master Databricks and Apache Spark Step by Step: Lesson 1 - Introduction What is Apache Spark? Learn Apache Spark in 15 Minutes Master Databricks and Apache Spark Step by Step: Lesson 1 - Introduction Jan 8, 2024 · This blog on Spark Tutorial will introduce you to Apache Spark Programming, history of spark, its features and components. In an increasingly interconnected world, data is being created faster than Moore's law can keep up, requiring us to be smarter in our analysis. This is a brief tutorial that explains the basics of Spark Core programming. Our Spark tutorial is designed for beginners and professionals. Jan 8, 2024 · Apache Spark is an open-source cluster-computing framework. Here we discuss how to use apache spark to analyze data and the reasons to use spark in various fields. com/workshop/itas_workshop. To support Python with Spark, Apache Spark community released a tool, PySpark. Spark is also useful to perform graph processing. NET for Apache Spark repo: Getting Started - . Tutorials provide hands-on instructions that help developers learn how to use the technologies in their projects. In this tutorial … Learn Apache Spark with Scala in simple and easy way. Apache Spark Tutorial Introduction to Apache Spark Apache Spark is an invaluable tool for processing large datasets which require multiple computers working together on individual tasks. The focus is on the practical implementation of PySpark in real-world scenarios. Nov 12, 2025 · Learn how to create and deploy an ETL (extract, transform, and load) pipeline with Apache Spark on the Databricks platform. It provides elegant development APIs for Scala, Java, Python, and R that allow developers to execute a variety of data-intensive workloads across diverse data sources including HDFS, Cassandra, HBase, S3 etc. Using PEX Spark SQL Apache Arrow in PySpark Python User-defined Table Functions (UDTFs) Python Data Source API Python to Spark Type Conversions Pandas API on Spark Options and settings From/to pandas and PySpark DataFrames Transform and apply a function Type Support in Pandas API on Spark Type Hints in Pandas API on Spark From/to other DBMSes Overview This tutorial module helps you to get started quickly with using Apache Spark. What is Apache Spark, Why Apache Spark, Spark introduction, Spark Ecosystem Components. Get started Get started working with Apache Spark on Databricks. Apache Spark is an open-source unified analytics engine designed for big data processing. One of the main reasons to use PySpark is its speed. What is Spark tutorial about Spark introduction, why spark, Hadoop vs Apache Spark, Need of Spark, Architecture, Spark Ecosystem, Spark RDD and Spark shell. Learn the fundamentals, installation steps, and examples to explore PySpark’s strengths. Get to know about their different use cases and the companies that use them. Learn how to use Spark's interactive shell and write applications in Python, Scala, and Java. These operations are also referred as “untyped transformations” in contrast to “typed transformations” come with strongly typed Nov 27, 2017 · Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming Apr 13, 2021 · An experience software architect runs through the concepts behind Apache Spark and gives a tutorial on how to use Spark to better analyze your data sets. This video on Spark SQL Tutorial will help you understand what Spark SQL is and Spark SQL features. Jun 20, 2025 · PySpark Tutorial for Beginners – Install and Learn Apache Spark with Python Jan 22, 2023 · Enter Apache Spark. May 5, 2023 · What is Apache Spark and how can it help you with data engineering? Apache Spark is a general-purpose distributed computing solution for processing huge datasets. Apache Spark / PySpark Tutorial: Basics In 15 Mins Greg Hogg 233K subscribers 3. Machine Learning Library (MLlib) Guide MLlib is Spark’s machine learning (ML) library. Mar 1, 2025 · Learn Apache Spark with hands-on tutorials and projects! Build scalable data pipelines, process big data, and unlock real-time streaming insights effectively. Unlike Hadoop's MapReduce, Spark offers in-memory cluster computing which drastically improves the performance for certain applications Nov 20, 2024 · In this tutorial, you'll learn to analyze some sample data with Apache Spark in Azure Synapse Analytics. apache: sql-data-sources spark. Learn PySpark, an interface for Apache Spark in Python. With speed, scalability, and real-time streaming capabilities, Apache Spark is one the most popular tools for data engineering and DevOps. It covers the basics of Spark, including how to install it, how to create Spark applications, and how to use Spark's APIs for data processing. A proper framework must exist to coordinate work across machines – which Apache Spark does perfectly! A thorough and practical introduction to Apache Spark, a lightning fast, easy-to-use, and highly flexible big data processing engine. At a high level, it provides tools such as: ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering Featurization: feature extraction, transformation, dimensionality reduction This Edureka Spark Tutorial (Spark Blog Series: https://goo. Dec 16, 2023 · A comprehensive guide on how Apache Spark works and how to use it efficiently! Spark SQL includes a cost-based optimizer, columnar storage and code generation to make queries fast. 1M subscribers Getting Started with Spark Install Spark on your machine now and get started with Spark today. This tutorial will walk you through the steps of building a simple Apache Spark application using Java. Learn Apache Spark on Databricks with this beginner-friendly guide to understanding and utilizing the platform's features for data and AI solutions. It lets Python developers use Spark's powerful distributed computing to efficiently process large datasets across clusters. 💻 Code: https://github. You can access native Spark APIs, as well as AWS Glue libraries that facilitate extract, transform, and load (ETL) workflows from within an AWS Glue script. RDDs c Getting started with Apache Spark video series (demo centric) The tutorials covers the basics of Apache spark starting with overview, installing Apache Spark Comprehensive hands-on guide to Apache Spark with Scala—learn how to use Spark's and Scala capabilities for advanced data analysis and insights. With PySpark, you can write Spark applications using Python. 64 6. . We will start with an introduction to Apache Spark Programming. It provides distributed task dispatching, scheduling, and basic I/O functionalities. Nov 9, 2020 · This article is an Apache Spark Java Complete Tutorial, where you will learn how to write a simple Tagged with machinelearning, spark, java, bigdata. Mar 27, 2019 · In this tutorial for Python developers, you'll take your first steps with Spark, PySpark, and Big Data processing concepts using intermediate Python concepts. You can learn more about Iceberg's Spark runtime by checking out the Spark section. It is widely used in data analysis, machine learning and real-time processing. Spark Core is the base of the whole project. Get started today! Mar 5, 2024 · Mastering Apache Spark: A Comprehensive Guide Introduction: Apache Spark has emerged as a leading framework for big data processing, offering remarkable speed, ease of use, and versatility. You will learn Spark SQL's architecture and get an idea about data frame API, data source API Apache Spark Full Course [2024] | Learn Apache Spark | Apache Spark Tutorial | Edureka edureka! Apache Spark™ Tutorial: Getting Started with Apache Spark on Databricks Structured Streaming Overview Sensors, IoT devices, social networks, and online transactions all generate data that needs to be monitored constantly and acted upon quickly. Its goal is to make practical machine learning scalable and easy. Learn the basics of Apache Spark, a powerful framework for big data processing. Beginners with no knowledge on spark or Scala can easily pick up and master advanced topics o Mar 25, 2025 · This Spark Java Tutorial is a comprehensive approach for setting up Spark Java environment with examples and real-life Use Case for a better understanding. Learning Apache Spark? Check out these best online Apache Spark courses and tutorials recommended by the programming community. Check Apache Spark community's reviews & comments. Tutorials for beginners or advanced learners. This free Apache Spark tutorial explains Next gen Big Data tool, which is lightning fast & can handle diverse workload. Learn Spark online and earn a free certification to boost your career in big data and analytics. It can be used with single-node/localhost environments, or distributed clusters. PySpark is often used for large-scale data processing and machine learning. Learn Apache Spark from basics to advanced with our comprehensive tutorial. 4 Confusion Matrix. It efficiently extends Hadoop’s MapReduce model to use it for multiple more types of computations like iterative queries and stream processing. This page provides an overview of the documentation in this section. Apr 1, 2025 · Learn what is Apache Spark, why we need Spark, Spark architecture, and how to write a Spark application with examples. Learn data processing, machine learning, real-time streaming, and integration with big data tools through step-by-step tutorials for all skill levels. Then we will move to know the Spark History. It provides a reach set of APIs in Java, Scala, Python, and R and an engine that supports general execution. This Apache Spark and Scala Tutorial video playlist takes you through concepts such as large-scale Data Processing using RDD, Spark Streaming, SparkSQL, MLLi Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. . 0, DataFrames are just Dataset of Row s in Scala and Java API. NET for Apache Spark. Apache Spark Full Course | Apache Spark Tutorial For Beginners | Learn Spark In 7 Hours |Simplilearn Simplilearn 5. Nov 25, 2022 · Apache Spark Architecture After exploring the introduction of Apache Spark, we will now learn about its structure. Jun 11, 2025 · Apache Spark tutorial provides basic and advanced concepts of Spark. databricks: zip-files spark. Quickstart: Spark Connect Live Notebook: Spark Connect Spark Connect Overview Spark SQL and DataFrames Spark SQL is Apache Spark Mar 6, 2025 · Hi Guys,Here we will learn about Apache Spark with our in-depth tutorials covering Spark Core, SQL, Streaming, MLlib, and real-world projects. co Apache Spark is an open-source, distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Oct 9, 2025 · Spark Tutorial provides a beginner's guide to Apache Spark. Untyped Dataset Operations (aka DataFrame Operations) DataFrames provide a domain-specific language for structured data manipulation in Python, Scala, Java and R. Apache Spark Full Course - Learn Apache Spark in 8 Hours | Apache Spark Tutorial | Edureka edureka! There are two types of samples/apps in the . 5 with Scala code examples for beginners. Docker-Compose Creating a table Writing Data to a Table Reading Data from a Table Adding A Catalog Next Steps Docker-Compose The fastest way to get started is to Nov 6, 2025 · Apache Spark is the technology powering compute clusters and SQL warehouses in Azure Databricks. Jul 18, 2025 · PySpark is the Python API for Apache Spark, designed for big data processing and analytics. Getting Started # This page summarizes the basic steps required to setup and get started with PySpark. ¿Qué es Apache Spark? En este video voy directo al grano y te explico en español todo lo que necesitas saber sobre Apache Spark, cómo funciona, y su arquitec Apache Spark is a unified analytics engine for large-scale data processing. Apache Spark Tutorial, is a book about how to develop Apache Spark applications. Note: Work in progress where you will see more articles coming in the near feature. Learn how to use PySpark’s robust features for data Jun 15, 2025 · Explore a curated list of free courses and tutorials designed for aspiring Spark developers. 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. Apache Spark About the Tutorial Apache Spark is a lightning-fast cluster computing designed for fast computation. This Spark tutorial is ideal for both beginners as well as prof Apache Spark is a lightning-fast cluster computing designed for fast computation. In the following tutorial modules, you will learn the basics of creating Spark jobs, loading data, and working with data. Apache Spark is an open-source analytics tool for large-scale data processing. Its architecture is well-defined and has two primary components: Resilient Distributed Datasets (RDD) This is a collection of data items that are stored on the worker nodes of the Spark cluster. PySpark provides the client for the Spark Connect server, allowing Spark to be used as a service. At the same time, it scales to thousands of nodes and multi hour queries using the Spark engine, which provides full mid-query fault tolerance. This self-paced guide is the “Hello World” tutorial for Apache Spark using Databricks. The main feature of Apache Spark is an in-memory computation which significantly increases the processing speed of the application Best to download the slides to your laptop: cdn. Using PySpark, you can work with RDDs in Python programming language also. For PySpark Tutorial: PySpark is a powerful open-source framework built on Apache Spark, designed to simplify and accelerate large-scale data processing and analytics tasks. In this tutorial, you extract, transform, and load a dataset of parking tickets. These Jupyter notebooks are designed to complement the video content, allowing you to follow along, experiment, and practice your PySpark skills. This tutorial has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Spark Framework and become a Spark Developer. Pick the tutorial as per your learning style: video tutorials or a book. Since February 2014, Spark became a top-level Apache project and has been evolved Jun 5, 2023 · Audience This tutorial has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. They give you access to the expanded set of tools available to work with Apache Spark programs. It was built on top of Hadoop MapReduce and it extends the MapReduce model to efficiently use more types of computations which includes Interactive Queries and Stream Processing. In this introduction to Apache Spark video, we will discuss what is Apache Spark, the history of Spark, Hadoop vs Spark, Spark features, components of Apache Spark, Spark core, Spark SQL, Spark Start your journey with Apache Spark for machine learning on Databricks, leveraging powerful tools and frameworks for data science. PySpark brings this power to Python users, eliminating the need to learn Scala or Java—Spark’s native Jun 22, 2023 · Introduction: Welcome to the exciting world of Spark SQL! Whether you’re a beginner or have some experience with Apache Spark, this comprehensive tutorial will take you on a journey to master Apache Spark/PySpark Tutorial by AmpCode • Playlist • 25 videos • 205,602 views PySpark Tutorials offers comprehensive guides to mastering Apache Spark with Python. As a result, the need for large-scale, real-time stream processing is more evident than ever before. Audience This tutorial has Read Hadoop does not have support for zip files as a compression codec. NET for Apache Spark code focused on simple and minimalistic scenarios. Free course or paid. Upgrade your skills with the best Apache Spark course. Mar 21, 2019 · This tutorial explains how to leverage relational databases at scale using Spark SQL and DataFrames. This tutorial covers Spark's architecture, components, setup, and a simple word count example in Scala and PySpark. Afterward, will cover all fundamental of Spark components. Apache Spark Concepts Spark Tutorial Introduction to Apache Spark What is Apache Spark What is Spark Install Spark 6. Learn Spark version 3. It is because of a library called Py4j that they are able to achieve this. With Apache Spark, users can run queries and machine learning workflows on petabytes of data, which is impossible to do on your local device. While a text file in GZip, BZip2, and other supported compression formats can be configured to be automatically decompressed in Apache Spark as long as it has the right file extension, you must perform additional steps to read zip files. We'll cover the setup, basic operations, and how to run the application locally. By the end of this guide, you'll be equipped with the foundational skills necessary to develop more complex Spark applications. liber118. Spark This guide will get you up and running with Apache Iceberg™ using Apache Spark™, including sample code to highlight some powerful features. 《跟老卫学Apache Spark开发》是一本 Apache Spark 应用开发的开源学习教程，主要介绍如何从0开始开发 Apache Spark 应用。 Nov 22, 2024 · Learn Apache Spark applications from Apache Spark tutorial. Feb 25, 2020 · 1. It was originally developed in 2009 at UC Berkeley, California by Matei Zaharia and subsequently donated to the Apache Software Foundation. Apr 8, 2022 · Apache Spark What is Apache Spark? Apache Spark is an open source analytical processing engine for large-scale distributed data processing and machine learning applications. A cluster is a distributed collection of Sep 17, 2025 · Apache Spark overview Apache Spark is the technology powering compute clusters and SQL warehouses in Databricks. Jan 18, 2018 · 1. Apache Spark is an open-source engine for large-scale data processing, offering an interface for programming clusters with parallelism and fault tolerance. PySpark brings this power to Python users, eliminating the need to learn Scala or Java—Spark’s native Oct 28, 2018 · Learn Apache Spark (Apache Spark Tutorials for Beginners) Apache Spark is a general data processing engine with multiple modules for batch processing, SQL and machine learning. Apache Spark ™ examples This page shows you how to use different Apache Spark APIs with simple examples. In this tutorial, you'll embark on a journey into the world of Apache Spark, where theory meets practical application. Nov 20, 2024 · In this tutorial, you'll learn to analyze some sample data with Apache Spark in Azure Synapse Analytics. Jan 1, 2025 · This list of the best Apache Spark tutorials on YouTube will introduce you to the popular open-source data processing tool. Enhance your skills and start building powerful data applications today. ablg yjhqgwm bwlgr fah itftp eitivl gqgbd dxyctp wbbei bzewj ulqik fxuq vevd wtpmbiut ktq