Bài 3: Triển khai dịch vụ Active Directory - Giáo trình FPTMasterCode.vn
Giới thiệu đặc điểm của mô hình AD
Các khái niệm trong môi trường AD
Các bước cài đặt 1 hệ thống AD
Khái niệm về tài khoản người dùng và quản trị tài khoản người dùng
Bài 3: Triển khai dịch vụ Active Directory - Giáo trình FPTMasterCode.vn
Giới thiệu đặc điểm của mô hình AD
Các khái niệm trong môi trường AD
Các bước cài đặt 1 hệ thống AD
Khái niệm về tài khoản người dùng và quản trị tài khoản người dùng
Bài 2: Các khái niệm trong CSDL quan hệ - Giáo trình FPTMasterCode.vn
Tìm hiểu các bước thiết kế CSDL quan hệ
Tìm hiểu các khái niệm trong thiết kế CSDL quan hệ:
Các khái niệm trong thiết kế CSDL mức khái niệm
Các khái niệm trong thiết kế CSDL mức vật lý
Làm quen với hệ quản trị CSDL Microsoft Access
Tạo các bảng và truy vấn trong Microsoft Access.
Bài 2: Các khái niệm trong CSDL quan hệ - Giáo trình FPTMasterCode.vn
Tìm hiểu các bước thiết kế CSDL quan hệ
Tìm hiểu các khái niệm trong thiết kế CSDL quan hệ:
Các khái niệm trong thiết kế CSDL mức khái niệm
Các khái niệm trong thiết kế CSDL mức vật lý
Làm quen với hệ quản trị CSDL Microsoft Access
Tạo các bảng và truy vấn trong Microsoft Access.
Learning spark ch01 - Introduction to Data Analysis with Sparkphanleson
Learning spark ch01 - Introduction to Data Analysis with Spark
References to Spark Course
Course : Introduction to Big Data with Apache Spark : http://ouo.io/Mqc8L5
Course : Spark Fundamentals I : http://ouo.io/eiuoV
Course : Functional Programming Principles in Scala : http://ouo.io/rh4vv
Firewall - Network Defense in Depth Firewallsphanleson
This document discusses key concepts related to network defense in depth. It defines common terms like firewalls, DMZs, IDS, and VPNs. It also covers techniques for packet filtering, application inspection, network address translation, and virtual private networks. The goal of defense in depth is to implement multiple layers of security and not rely on any single mechanism.
This document discusses wireless security and protocols such as WEP, WPA, and 802.11i. It describes weaknesses in WEP such as vulnerabilities in the RC4 encryption algorithm that allow attacks like dictionary attacks. It introduces WPA as an improvement over WEP that uses stronger encryption keys, protocols like TKIP that change keys dynamically, and AES encryption in 802.11i as stronger alternatives. It also discusses authentication methods like 802.1X that distribute unique keys to each user to address issues with shared keys in WEP.
Authentication in wireless - Security in Wireless Protocolsphanleson
The document discusses authentication protocols for wireless devices. It begins by describing the authentication problem and some basic client-server protocols. It then introduces the challenge-response protocol which aims to prevent replay attacks by including a random number in the response. However, this protocol is still vulnerable to man-in-the-middle and reflection attacks. The document proposes improvements like including an identifier in the hashed response to prevent message manipulation attacks. Overall, the document provides an overview of authentication challenges for wireless devices and the development of challenge-response protocols to address these issues.
HBase In Action - Chapter 04: HBase table designphanleson
HBase In Action - Chapter 04: HBase table design
Learning HBase, Real-time Access to Your Big Data, Data Manipulation at Scale, Big Data, Text Mining, HBase, Deploying HBase
HBase In Action - Chapter 10 - Operationsphanleson
HBase In Action - Chapter 10: Operations
Learning HBase, Real-time Access to Your Big Data, Data Manipulation at Scale, Big Data, Text Mining, HBase, Deploying HBase
Hbase in action - Chapter 09: Deploying HBasephanleson
Hbase in action - Chapter 09: Deploying HBase
Learning HBase, Real-time Access to Your Big Data, Data Manipulation at Scale, Big Data, Text Mining, HBase, Deploying HBase
This chapter discusses Spark Streaming and provides an overview of its key concepts. It describes the architecture and abstractions in Spark Streaming including transformations on data streams. It also covers input sources, output operations, fault tolerance mechanisms, and performance considerations for Spark Streaming applications. The chapter concludes by noting how knowledge from Spark can be applied to streaming and real-time applications.
This chapter discusses Spark SQL, which allows querying Spark data with SQL. It covers initializing Spark SQL, loading data from sources like Hive, Parquet, JSON and RDDs, caching data, writing UDFs, and performance tuning. The JDBC server allows sharing cached tables and queries between programs. SchemaRDDs returned by queries or loaded from data represent the data structure that SQL queries operate on.
Learning spark ch07 - Running on a Clusterphanleson
This chapter discusses running Spark applications on a cluster. It describes Spark's runtime architecture with a driver program and executor processes. It also covers options for deploying Spark, including the standalone cluster manager, Hadoop YARN, Apache Mesos, and Amazon EC2. The chapter provides guidance on configuring resources, packaging code, and choosing a cluster manager based on needs.
This chapter introduces advanced Spark programming features such as accumulators, broadcast variables, working on a per-partition basis, piping to external programs, and numeric RDD operations. It discusses how accumulators aggregate information across partitions, broadcast variables efficiently distribute large read-only values, and how to optimize these processes. It also covers running custom code on each partition, interfacing with other programs, and built-in numeric RDD functionality. The chapter aims to expand on core Spark concepts and functionality.
Learning spark ch05 - Loading and Saving Your Dataphanleson
The document discusses various file formats and methods for loading and saving data in Spark, including text files, JSON, CSV, SequenceFiles, object files, and Hadoop input/output formats. It provides examples of loading and saving each of these file types in Python, Scala, and Java code. The examples demonstrate how to read data from files into RDDs and DataFrames and how to write RDD data out to files in the various formats.
Learning spark ch04 - Working with Key/Value Pairsphanleson
Learning spark ch04 - Working with Key/Value Pairs
Course : Introduction to Big Data with Apache Spark : http://ouo.io/Mqc8L5
Course : Spark Fundamentals I : http://ouo.io/eiuoV
Course : Functional Programming Principles in Scala : http://ouo.io/rh4vv
Learning spark ch01 - Introduction to Data Analysis with Sparkphanleson
Learning spark ch01 - Introduction to Data Analysis with Spark
References to Spark Course
Course : Introduction to Big Data with Apache Spark : http://ouo.io/Mqc8L5
Course : Spark Fundamentals I : http://ouo.io/eiuoV
Course : Functional Programming Principles in Scala : http://ouo.io/rh4vv
XML FOR DUMMIES
The document is a chapter from the book "XML for Dummies" that introduces XML. It discusses what XML is, including that it is a markup language and is flexible for exchanging data. It also examines common uses of XML such as classifying information, enforcing rules on data, and outputting information in different ways. Additionally, it clarifies what XML is not, namely that it is not just for web pages, not a database, and not a programming language. The chapter concludes by discussing how to build an XML document using editors that facilitate markup and enforce document rules.
This document discusses the differences between HTML, XML, and XHTML. It covers how XHTML combines the structure of XML with the familiar tags of HTML. Key points include:
- HTML was designed for displaying web pages, XML for data exchange, and XHTML uses HTML tags with XML syntax.
- XML allows custom tags, separates content from presentation, and is self-describing, while HTML focuses on display.
- Converting to XHTML requires following XML syntax rules like closing all tags, using empty element syntax, proper nesting, and lowercase tags and attribute quotes.
Smartbiz_He thong MES nganh may mac_2024juneSmartBiz
Cách Hệ thống MES giúp tối ưu Quản lý Sản xuất trong ngành May mặc như thế nào?
Ngành may mặc, với đặc thù luôn thay đổi theo xu hướng thị trường và đòi hỏi cao về chất lượng, đang ngày càng cần những giải pháp công nghệ tiên tiến để duy trì sự cạnh tranh. Bạn đã bao giờ tự hỏi làm thế nào mà những thương hiệu hàng đầu có thể sản xuất hàng triệu sản phẩm với độ chính xác gần như tuyệt đối và thời gian giao hàng nhanh chóng? Bí mật nằm ở hệ thống Quản lý Sản xuất (MES - Manufacturing Execution System).
Hãy cùng khám phá cách hệ thống MES đang cách mạng hóa ngành may mặc và mang lại những lợi ích vượt trội như thế nào.
In an LDAP directory hierarchy, on the other hand, the root entry is a special entry that contains configuration information about the directory server. It is not normally used to store information