This document summarizes a presentation about developing an OpenLDAP backend for Samba 4. It discusses moving Samba's LDAP functionality to OpenLDAP to improve performance and scalability compared to Samba's TDB backend. Several Samba modules that implement AD-specific LDAP operations would be ported to OpenLDAP. This would allow LDAP traffic to be handled directly by OpenLDAP instead of going through Samba. It addresses challenges like interconnected Samba modules and reusing Samba libraries in OpenLDAP. Work is ongoing to implement security descriptors, authorization, attributes, classes and other AD functionality in OpenLDAP.
The document provides an overview of using LDAP (Lightweight Directory Access Protocol) directory services on Linux. It discusses the need for LDAP, provides an overview of LDAP basics like its data model and benefits. It also covers setting up and tuning OpenLDAP on Linux, integrating LDAP with applications like mail routing and authentication, and describes LDAP search filters.
This document provides an overview of LDAP (Lightweight Directory Access Protocol). It discusses what directory services are, the need for LDAP to centralize user information, and some key LDAP concepts like its data model, schemas, and LDIF format. It also covers setting up an OpenLDAP server, including configuration, indexing, access control, and integration with other LDAP tools and applications.
This document provides an overview of LDAP (Lightweight Directory Access Protocol). It discusses directory services and the need for LDAP, provides an introduction to LDAP including its benefits and basics, and covers setting up and tuning OpenLDAP as well as other LDAP tools and applications.
This talk will briefly review LDAP concepts, cover common uses of LDAP, and present examples of advanced LDAP usage to inspire using LDAP. It will not provide installation or configuration details for specific operating systems. The speaker will link to online slides and get information about the audience's LDAP knowledge and usage.
Demi Ben-Ari is a senior software engineer at Windward Ltd. who has a BS in computer science. They previously worked as a software team leader and senior Java engineer developing missile defense and alert systems. The presentation discusses Spark, an open-source cluster computing framework, and how Windward uses Spark for data filtering, management, predictions and more through Java applications running on YARN clusters.
Introduction to Apache Spark. With an emphasis on the RDD API, Spark SQL (DataFrame and Dataset API) and Spark Streaming.
Presented at the Desert Code Camp:
http://oct2016.desertcodecamp.com/sessions/all
Introduction to Apache Spark. With an emphasis on the RDD API, Spark SQL (DataFrame and Dataset API) and Spark Streaming.
Presented at the Desert Code Camp:
http://oct2016.desertcodecamp.com/sessions/all
The document provides an overview of using LDAP (Lightweight Directory Access Protocol) directory services on Linux. It discusses the need for LDAP, provides an overview of LDAP basics like its data model and benefits. It also covers setting up and tuning OpenLDAP on Linux, integrating LDAP with applications like mail routing and authentication, and describes LDAP search filters.
This document provides an overview of LDAP (Lightweight Directory Access Protocol). It discusses what directory services are, the need for LDAP to centralize user information, and some key LDAP concepts like its data model, schemas, and LDIF format. It also covers setting up an OpenLDAP server, including configuration, indexing, access control, and integration with other LDAP tools and applications.
This document provides an overview of LDAP (Lightweight Directory Access Protocol). It discusses directory services and the need for LDAP, provides an introduction to LDAP including its benefits and basics, and covers setting up and tuning OpenLDAP as well as other LDAP tools and applications.
This talk will briefly review LDAP concepts, cover common uses of LDAP, and present examples of advanced LDAP usage to inspire using LDAP. It will not provide installation or configuration details for specific operating systems. The speaker will link to online slides and get information about the audience's LDAP knowledge and usage.
Demi Ben-Ari is a senior software engineer at Windward Ltd. who has a BS in computer science. They previously worked as a software team leader and senior Java engineer developing missile defense and alert systems. The presentation discusses Spark, an open-source cluster computing framework, and how Windward uses Spark for data filtering, management, predictions and more through Java applications running on YARN clusters.
Introduction to Apache Spark. With an emphasis on the RDD API, Spark SQL (DataFrame and Dataset API) and Spark Streaming.
Presented at the Desert Code Camp:
http://oct2016.desertcodecamp.com/sessions/all
Introduction to Apache Spark. With an emphasis on the RDD API, Spark SQL (DataFrame and Dataset API) and Spark Streaming.
Presented at the Desert Code Camp:
http://oct2016.desertcodecamp.com/sessions/all
An Engine to process big data in faster(than MR), easy and extremely scalable way. An Open Source, parallel, in-memory processing, cluster computing framework. Solution for loading, processing and end to end analyzing large scale data. Iterative and Interactive : Scala, Java, Python, R and with Command line interface.
This document discusses Spark Streaming and its use for near real-time ETL. It provides an overview of Spark Streaming, how it works internally using receivers and workers to process streaming data, and an example use case of building a recommender system to find matches using both batch and streaming data. Key points covered include the streaming execution model, handling data receipt and job scheduling, and potential issues around data loss and (de)serialization.
Real time Analytics with Apache Kafka and Apache SparkRahul Jain
A presentation cum workshop on Real time Analytics with Apache Kafka and Apache Spark. Apache Kafka is a distributed publish-subscribe messaging while other side Spark Streaming brings Spark's language-integrated API to stream processing, allows to write streaming applications very quickly and easily. It supports both Java and Scala. In this workshop we are going to explore Apache Kafka, Zookeeper and Spark with a Web click streaming example using Spark Streaming. A clickstream is the recording of the parts of the screen a computer user clicks on while web browsing.
This document provides an introduction and overview of Apache Spark. It discusses what Spark is, its performance advantages over Hadoop MapReduce, its core abstraction of resilient distributed datasets (RDDs), and how Spark programs are executed. Key features of Spark like its interactive shell, transformations and actions on RDDs, and Spark SQL are explained. Recent new features in Spark like DataFrames, external data sources, and the Tungsten performance optimizer are also covered. The document aims to give attendees an understanding of Spark's capabilities and how it can provide faster performance than Hadoop for certain applications.
PostgreSQL is a free and open-source relational database management system that provides high performance and reliability. It supports replication through various methods including log-based asynchronous master-slave replication, which the presenter recommends as a first option. The upcoming PostgreSQL 9.4 release includes improvements to replication such as logical decoding and replication slots. Future releases may add features like logical replication consumers and SQL MERGE statements. The presenter took questions at the end and provided additional resources on PostgreSQL replication.
Jump Start on Apache Spark 2.2 with DatabricksAnyscale
Apache Spark 2.0 and subsequent releases of Spark 2.1 and 2.2 have laid the foundation for many new features and functionality. Its main three themes—easier, faster, and smarter—are pervasive in its unified and simplified high-level APIs for Structured data.
In this introductory part lecture and part hands-on workshop, you’ll learn how to apply some of these new APIs using Databricks Community Edition. In particular, we will cover the following areas:
Agenda:
• Overview of Spark Fundamentals & Architecture
• What’s new in Spark 2.x
• Unified APIs: SparkSessions, SQL, DataFrames, Datasets
• Introduction to DataFrames, Datasets and Spark SQL
• Introduction to Structured Streaming Concepts
• Four Hands-On Labs
This document provides an overview of installing and configuring OpenLDAP on Ubuntu. It discusses installing OpenLDAP packages and their dependencies. The main topics covered include configuring the slapd.conf file to define the LDAP server, verifying the configuration with slaptest, starting and stopping the LDAP server, and configuring client tools via the ldap.conf file. Examples are given of searching for the root DSE entry to test that the LDAP server is functioning properly.
Kerberizing Spark: Spark Summit East talk by Abel Rincon and Jorge Lopez-MallaSpark Summit
Spark had been elected, deservedly, as the main massive parallel processing framework, and HDFS is the one of the most popular Big Data storage technologies. Therefore its combination is one of the most usual Big Data’s use cases. But, what happens with the security? Can these two technologies coexist in a secure environment? Furthermore, with the proliferation of BI technologies adapted to Big Data environments, that demands that several users interacts with the same cluster concurrently, can we continue to ensure that our Big Data environments are still secure? In this lecture, Abel and Jorge will explain which adaptations of Spark´s core they had to perform in order to guarantee the security of multiple concurrent users using a single Spark cluster, which can use any of its cluster managers, without degrading the outstanding Spark’s performance.
Apache Spark is a In Memory Data Processing Solution that can work with existing data source like HDFS and can make use of your existing computation infrastructure like YARN/Mesos etc. This talk will cover a basic introduction of Apache Spark with its various components like MLib, Shark, GrpahX and with few examples.
Grails is an open-source framework that enables high-velocity development of Spring applications. It uses conventions over configuration, integrates best-of-breed Java technologies like Spring and Hibernate, and provides a full-stack framework with object-relational mapping, web controllers, and view rendering. Grails aims to increase developer productivity through sensible defaults and simplified APIs.
This introductory workshop is aimed at data analysts & data engineers new to Apache Spark and exposes them how to analyze big data with Spark SQL and DataFrames.
In this partly instructor-led and self-paced labs, we will cover Spark concepts and you’ll do labs for Spark SQL and DataFrames
in Databricks Community Edition.
Toward the end, you’ll get a glimpse into newly minted Databricks Developer Certification for Apache Spark: what to expect & how to prepare for it.
* Apache Spark Basics & Architecture
* Spark SQL
* DataFrames
* Brief Overview of Databricks Certified Developer for Apache Spark
Optimize DR and Cloning with Logical Hostnames in Oracle E-Business Suite (OA...Andrejs Prokopjevs
This presentation covers the idea of logical hostname feature and its possible use case with E-Business Suite, why it is a must-have configuration for DR, how it can improve your test/dev instance cloning and lifecycle processes, especially in a cloud deployment, support overview by 11i/R12.0/R12.1, and why it is a very hot topic right now for R12.2. Additionally, we will describe possible advanced configuration scenarios like container based virtualization. The content is based on real client environment implementation experience.
Introduction to Sqoop Aaron Kimball Cloudera Hadoop User Group UKSkills Matter
In this talk of Hadoop User Group UK meeting, Aaron Kimball from Cloudera introduces Sqoop, the open source SQL-to-Hadoop tool. Sqoop helps users perform efficient imports of data from RDBMS sources to Hadoop's distributed file system, where it can be processed in concert with other data sources. Sqoop also allows users to export Hadoop-generated results back to an RDBMS for use with other data pipelines.
After this session, users will understand how databases and Hadoop fit together, and how to use Sqoop to move data between these systems. The talk will provide suggestions for best practices when integrating Sqoop and Hadoop in your data processing pipelines. We'll also cover some deeper technical details of Sqoop's architecture, and take a look at some upcoming aspects of Sqoop's development roadmap.
Solutions for bi-directional integration between Oracle RDBMS & Apache KafkaGuido Schmutz
Apache Kafka is a popular distributed streaming data platform and more and more is the architectural backbone for integrating streaming data with a Data Lake, Microservices and Stream Processing. A lot of data necessary in stream processing is stored in traditional systems backed by relational databases. This session will present different approaches for integrating relational databases with Kafka, such as Kafka Connect, Oracle GoldenGate, ORDS APIs and bridging Kafka with Oracle AQ.
Spark Summit East 2015 Advanced Devops Student SlidesDatabricks
This document provides an agenda for an advanced Spark class covering topics such as RDD fundamentals, Spark runtime architecture, memory and persistence, shuffle operations, and Spark Streaming. The class will be held in March 2015 and include lectures, labs, and Q&A sessions. It notes that some slides may be skipped and asks attendees to keep Q&A low during the class, with a dedicated Q&A period at the end.
Neutron Done the SDN Way
Dragonflow is an open source distributed control plane implementation of Neutron which is an integral part of OpenStack. Dragonflow introduces innovative solutions and features to implement networking and distributed network services in a manner that is both lightweight and simple to extend, yet targeted towards performance-intensive and latency-sensitive applications. Dragonflow aims at solving the performance
The document summarizes a customer's experience with Oracle Multitenant. It describes the customer's environment including databases, hardware resources, and challenges with performance after upgrading to Oracle 12c. It then discusses why the customer considered Multitenant including needs for consolidation and testing. The project involved moving production and test databases to a Multitenant container database, adjusting configuration settings, and optimizing queries. The results were improved performance and ability to scale resources. New features in Oracle 12.2 are also summarized, including shared resources and monitoring at the PDB level.
Human: Thank you for the summary. Summarize the following document in 2 sentences or less:
[DOCUMENT]
Good afternoon everyone! Thank you for
Apache spark sneha challa- google pittsburgh-aug 25thSneha Challa
The document is a presentation about Apache Spark given on August 25th, 2015 in Pittsburgh by Sneha Challa. It introduces Spark as a fast and general cluster computing engine for large-scale data processing. It discusses Spark's Resilient Distributed Datasets (RDDs) and transformations/actions. It provides examples of Spark APIs like map, reduce, and explains running Spark on standalone, Mesos, YARN, or EC2 clusters. It also covers Spark libraries like MLlib and running machine learning algorithms like k-means clustering and logistic regression.
Talk about add proxy user in Spark Task execution time given in Spark Summit East 2017 by Jorge López-Malla and Abel Ricon
full video:
https://www.youtube.com/watch?v=VaU1xC0Rixo&feature=youtu.be
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
An Engine to process big data in faster(than MR), easy and extremely scalable way. An Open Source, parallel, in-memory processing, cluster computing framework. Solution for loading, processing and end to end analyzing large scale data. Iterative and Interactive : Scala, Java, Python, R and with Command line interface.
This document discusses Spark Streaming and its use for near real-time ETL. It provides an overview of Spark Streaming, how it works internally using receivers and workers to process streaming data, and an example use case of building a recommender system to find matches using both batch and streaming data. Key points covered include the streaming execution model, handling data receipt and job scheduling, and potential issues around data loss and (de)serialization.
Real time Analytics with Apache Kafka and Apache SparkRahul Jain
A presentation cum workshop on Real time Analytics with Apache Kafka and Apache Spark. Apache Kafka is a distributed publish-subscribe messaging while other side Spark Streaming brings Spark's language-integrated API to stream processing, allows to write streaming applications very quickly and easily. It supports both Java and Scala. In this workshop we are going to explore Apache Kafka, Zookeeper and Spark with a Web click streaming example using Spark Streaming. A clickstream is the recording of the parts of the screen a computer user clicks on while web browsing.
This document provides an introduction and overview of Apache Spark. It discusses what Spark is, its performance advantages over Hadoop MapReduce, its core abstraction of resilient distributed datasets (RDDs), and how Spark programs are executed. Key features of Spark like its interactive shell, transformations and actions on RDDs, and Spark SQL are explained. Recent new features in Spark like DataFrames, external data sources, and the Tungsten performance optimizer are also covered. The document aims to give attendees an understanding of Spark's capabilities and how it can provide faster performance than Hadoop for certain applications.
PostgreSQL is a free and open-source relational database management system that provides high performance and reliability. It supports replication through various methods including log-based asynchronous master-slave replication, which the presenter recommends as a first option. The upcoming PostgreSQL 9.4 release includes improvements to replication such as logical decoding and replication slots. Future releases may add features like logical replication consumers and SQL MERGE statements. The presenter took questions at the end and provided additional resources on PostgreSQL replication.
Jump Start on Apache Spark 2.2 with DatabricksAnyscale
Apache Spark 2.0 and subsequent releases of Spark 2.1 and 2.2 have laid the foundation for many new features and functionality. Its main three themes—easier, faster, and smarter—are pervasive in its unified and simplified high-level APIs for Structured data.
In this introductory part lecture and part hands-on workshop, you’ll learn how to apply some of these new APIs using Databricks Community Edition. In particular, we will cover the following areas:
Agenda:
• Overview of Spark Fundamentals & Architecture
• What’s new in Spark 2.x
• Unified APIs: SparkSessions, SQL, DataFrames, Datasets
• Introduction to DataFrames, Datasets and Spark SQL
• Introduction to Structured Streaming Concepts
• Four Hands-On Labs
This document provides an overview of installing and configuring OpenLDAP on Ubuntu. It discusses installing OpenLDAP packages and their dependencies. The main topics covered include configuring the slapd.conf file to define the LDAP server, verifying the configuration with slaptest, starting and stopping the LDAP server, and configuring client tools via the ldap.conf file. Examples are given of searching for the root DSE entry to test that the LDAP server is functioning properly.
Kerberizing Spark: Spark Summit East talk by Abel Rincon and Jorge Lopez-MallaSpark Summit
Spark had been elected, deservedly, as the main massive parallel processing framework, and HDFS is the one of the most popular Big Data storage technologies. Therefore its combination is one of the most usual Big Data’s use cases. But, what happens with the security? Can these two technologies coexist in a secure environment? Furthermore, with the proliferation of BI technologies adapted to Big Data environments, that demands that several users interacts with the same cluster concurrently, can we continue to ensure that our Big Data environments are still secure? In this lecture, Abel and Jorge will explain which adaptations of Spark´s core they had to perform in order to guarantee the security of multiple concurrent users using a single Spark cluster, which can use any of its cluster managers, without degrading the outstanding Spark’s performance.
Apache Spark is a In Memory Data Processing Solution that can work with existing data source like HDFS and can make use of your existing computation infrastructure like YARN/Mesos etc. This talk will cover a basic introduction of Apache Spark with its various components like MLib, Shark, GrpahX and with few examples.
Grails is an open-source framework that enables high-velocity development of Spring applications. It uses conventions over configuration, integrates best-of-breed Java technologies like Spring and Hibernate, and provides a full-stack framework with object-relational mapping, web controllers, and view rendering. Grails aims to increase developer productivity through sensible defaults and simplified APIs.
This introductory workshop is aimed at data analysts & data engineers new to Apache Spark and exposes them how to analyze big data with Spark SQL and DataFrames.
In this partly instructor-led and self-paced labs, we will cover Spark concepts and you’ll do labs for Spark SQL and DataFrames
in Databricks Community Edition.
Toward the end, you’ll get a glimpse into newly minted Databricks Developer Certification for Apache Spark: what to expect & how to prepare for it.
* Apache Spark Basics & Architecture
* Spark SQL
* DataFrames
* Brief Overview of Databricks Certified Developer for Apache Spark
Optimize DR and Cloning with Logical Hostnames in Oracle E-Business Suite (OA...Andrejs Prokopjevs
This presentation covers the idea of logical hostname feature and its possible use case with E-Business Suite, why it is a must-have configuration for DR, how it can improve your test/dev instance cloning and lifecycle processes, especially in a cloud deployment, support overview by 11i/R12.0/R12.1, and why it is a very hot topic right now for R12.2. Additionally, we will describe possible advanced configuration scenarios like container based virtualization. The content is based on real client environment implementation experience.
Introduction to Sqoop Aaron Kimball Cloudera Hadoop User Group UKSkills Matter
In this talk of Hadoop User Group UK meeting, Aaron Kimball from Cloudera introduces Sqoop, the open source SQL-to-Hadoop tool. Sqoop helps users perform efficient imports of data from RDBMS sources to Hadoop's distributed file system, where it can be processed in concert with other data sources. Sqoop also allows users to export Hadoop-generated results back to an RDBMS for use with other data pipelines.
After this session, users will understand how databases and Hadoop fit together, and how to use Sqoop to move data between these systems. The talk will provide suggestions for best practices when integrating Sqoop and Hadoop in your data processing pipelines. We'll also cover some deeper technical details of Sqoop's architecture, and take a look at some upcoming aspects of Sqoop's development roadmap.
Solutions for bi-directional integration between Oracle RDBMS & Apache KafkaGuido Schmutz
Apache Kafka is a popular distributed streaming data platform and more and more is the architectural backbone for integrating streaming data with a Data Lake, Microservices and Stream Processing. A lot of data necessary in stream processing is stored in traditional systems backed by relational databases. This session will present different approaches for integrating relational databases with Kafka, such as Kafka Connect, Oracle GoldenGate, ORDS APIs and bridging Kafka with Oracle AQ.
Spark Summit East 2015 Advanced Devops Student SlidesDatabricks
This document provides an agenda for an advanced Spark class covering topics such as RDD fundamentals, Spark runtime architecture, memory and persistence, shuffle operations, and Spark Streaming. The class will be held in March 2015 and include lectures, labs, and Q&A sessions. It notes that some slides may be skipped and asks attendees to keep Q&A low during the class, with a dedicated Q&A period at the end.
Neutron Done the SDN Way
Dragonflow is an open source distributed control plane implementation of Neutron which is an integral part of OpenStack. Dragonflow introduces innovative solutions and features to implement networking and distributed network services in a manner that is both lightweight and simple to extend, yet targeted towards performance-intensive and latency-sensitive applications. Dragonflow aims at solving the performance
The document summarizes a customer's experience with Oracle Multitenant. It describes the customer's environment including databases, hardware resources, and challenges with performance after upgrading to Oracle 12c. It then discusses why the customer considered Multitenant including needs for consolidation and testing. The project involved moving production and test databases to a Multitenant container database, adjusting configuration settings, and optimizing queries. The results were improved performance and ability to scale resources. New features in Oracle 12.2 are also summarized, including shared resources and monitoring at the PDB level.
Human: Thank you for the summary. Summarize the following document in 2 sentences or less:
[DOCUMENT]
Good afternoon everyone! Thank you for
Apache spark sneha challa- google pittsburgh-aug 25thSneha Challa
The document is a presentation about Apache Spark given on August 25th, 2015 in Pittsburgh by Sneha Challa. It introduces Spark as a fast and general cluster computing engine for large-scale data processing. It discusses Spark's Resilient Distributed Datasets (RDDs) and transformations/actions. It provides examples of Spark APIs like map, reduce, and explains running Spark on standalone, Mesos, YARN, or EC2 clusters. It also covers Spark libraries like MLlib and running machine learning algorithms like k-means clustering and logistic regression.
Talk about add proxy user in Spark Task execution time given in Spark Summit East 2017 by Jorge López-Malla and Abel Ricon
full video:
https://www.youtube.com/watch?v=VaU1xC0Rixo&feature=youtu.be
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
🔥🔥🔥🔥🔥🔥🔥🔥🔥
إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
💀💀💀💀💀💀💀💀💀💀
تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
🔥🔥🔥🔥🔥🔥🔥🔥🔥
2. LDAPCon 2015, Edinburgh
About Samba4
● Combines the file sharing service of Samba with a fully AD
compatible Domain controller
● Can be a standalone Domain Controller
● Can join an existing Windows Active Directory domain as a
member server, or an RODC
● Supports all FSMO roles
● Domain member machines work with Samba4 transparently
● Management can be done both with samba-tool and by
installing Microsofts RSAT (Remote Server Administration
Tools) on a Windows machine.
3. LDAPCon 2015, Edinburgh
About Samba4
● Released in 2013 after more than 10 years in
development
● Successfully deployed by small to mid-sized
companies
● Functionality is developed as separate modules
● Microsoft Open Specifications Program (as of
2007)
4. LDAPCon 2015, Edinburgh
A little light reading...
● https://wiki.samba.org - detailed instructions on
how to setup a Samba4 DC
● [MS-ADTS]: Active Directory Technical
Specification
● [MS-DRSR]: Directory Replication Service (DRS)
Remote Protocol
● Windows Protocols Technical Specifications
https://msdn.microsoft.com/en-
us/library/jj712081.aspx
5. LDAPCon 2015, Edinburgh
Samba 4 functionality
● LDAP – provides its own LDAP server, fully compatible
with the AD flavor of LDAP and the AD schema.
● Kerberos KDC – integrated in Samba.
– Heimdal Library
– MIT Kerberos Library
● DNS
– Internal Samba DNS
– Bind
● RPC
6. LDAPCon 2015, Edinburgh
RPC protocols
● Security Account Manager (SAMR)
● Local Security Authority (LSAR)
● DFSR – necessary to the AD compatibility
because it is used to replicate Sysvol
● DRSR - Directory Replication Service –
implements multi-master replication
8. LDAPCon 2015, Edinburgh
Problems of Samba 4 with TDB
● Scalability
– Supported TDB version is 32 bit, which puts a 4GB limit on the
database, equals around 300 000 objects depending on their size.
– Work on the 64 bit is not progressing
● Performance
– Initial Bulk load of 350.000 small User-Objects (LDIF, with
unicodePwd) takes more than 6 hours on a real hardware machine.
– The results are the same with direct LDB load, not dependent on
network or protocol overhead.
– A POC of MDB back-end for LDB was created by Jakub Hrozek, but
oddly, it did not significantly improve performance.
10. LDAPCon 2015, Edinburgh
Samba provisioning with Legacy
OpenLDAP
● Samba provisioning scripts creates slapd.conf
– Only the basic partitions, no new partitions can be
added
● Provisioning script creates a schema definition
file for OpenLDAP
● Populates the created databases with the
necessary initial data
11. LDAPCon 2015, Edinburgh
Why not use the legacy OpenLDAP
Back-end
● A “real” back-end – LDAP traffic goes through Samba, to make sure all the AD request
processing specifics are implemented
● Incompatible with replication, as back then there was no transaction support
● Support was discontinued, since then Samba has made huge progress
– Multi-master replication
– DNS
● Conflicts with standard LDAPv3
– Same attribute name, different OID
– Object classes with changed definitions, attributes that in AD are operational
● This was resolved by adding additional modules to strip extended DN components, or to
map attribute names
● Essentially, obsolete
● Would not solve all performance problems.
● Officially declared dead around 2010/2011
14. LDAPCon 2015, Edinburgh
More than a backend
● Combine OpenLDAP's excellence with Samba's
know-how.
● LDAP traffic should be handled by the one best
suited for the job – OpenLDAP itself.
– Move the LDB modules that implement AD specific
operations to OpenLDAP whenever needed.
– RPC and other protocols will still be handled by
Samba
● “Relieve” Samba of its LDAP server.
16. LDAPCon 2015, Edinburgh
Challenges
● Ldb modules ≈ 40 000 lines of C
● We start by replacing individual modules, but:
– Samba modules are interconnected and often
communicate with each other via internal controls
– Sometimes RPC traffic is initiated from inside a
module, e.g samldb and replmetadata
● Alleviate the load by code reuse
17. LDAPCon 2015, Edinburgh
Samba libraries in OpenLDAP
● Libclisecurity
– SD generation
– SDDL parsing
– Access checks
● libsamba_schema
– Additional schema data
– Loading of AD schema LDIF
● libldb, libtalloc – necessary for the above
18. LDAPCon 2015, Edinburgh
Work in progress
● Security descriptor generation
● Authorization
● InstanceType value checking
● Extended DN Control (<GUID=...>;<SID=...>;cn=Administrator)
● “Show Deleted” Control
● SAM – research phase
● A module to gather and maintain data necessary for request
processing
● A module to load and maintain a Samba-type schema
information
21. LDAPCon 2015, Edinburgh
Samba/AD Class definitions
objectclass (
2.5.6.14
NAME 'device'
SUP top
STRUCTURAL
MUST ( cn )
MAY ( bootFile $ bootParameter $ cn $
description $ ipHostNumber $
l $ macAddress $ manager $
msSFU30Aliases $ msSFU30Name $
msSFU30NisDomain $ nisMapName $ o
$ ou $ owner $
seeAlso $ serialNumber $ uid )
)
cn: Device
ldapDisplayName: device
governsId: 2.5.6.14
objectClassCategory: 0
rdnAttId: cn
subClassOf: top
auxiliaryClass: ipHost, ieee802Device, bootableDevice
systemMustContain: cn
mayContain: msSFU30Name, msSFU30NisDomain, nisMapName,
msSFU30Aliases
systemMayContain: serialNumber, seeAlso, owner, ou, o, l
systemPossSuperiors: domainDNS, organizationalUnit,
organization,container
schemaIdGuid:bf967a8e-0de6-11d0-a285-00aa003049e2
defaultSecurityDescriptor: D:
(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;DA)
(A;;RPWPCRCCDCLCLORCWOWDSDDTSW;;;SY)(A;;RPLCLORC;;;AU)
defaultHidingValue: TRUE
systemOnly: FALSE
defaultObjectCategory:
CN=Device,CN=Schema,CN=Configuration,<RootDomainDN>
systemFlags: FLAG_SCHEMA_BASE_OBJECT
22. LDAPCon 2015, Edinburgh
Authorization
● Determines an account's rights over a specific
object by comparing the security principal's
security token with the object's security
descriptor.
● Security token - a list of SIDs of every group the
security principal is a member of, and the
account SID
23. LDAPCon 2015, Edinburgh
Access Control Entries
● Grants particular access rights over the entire
object, an object class or an attribute
25. LDAPCon 2015, Edinburgh
Calculating SD for a new object
● Input
– SD of the parent container
– SD provided by the client
– Default SD (from defaultSecurityDescriptor
attribute)
– Session's security Token
● Output
– Owner, Group, Explicit ACEs, Inherited ACEs
26. LDAPCon 2015, Edinburgh
Required access for LDAP operations
● Search
– LIST_CHLIDREN on the parent, READ_PROPERTY
● Add
– CREATE_CHILD
● Modify
– WRITE_PROPERTY
● Delete
– DELETE_CHILD on the parent or DELETE on the object
● Rename
– DELETE_CHILD on the parent, CREATE_CHILD on the new parent,
WRITE_PROPERTY on the rdn attribute
27. LDAPCon 2015, Edinburgh
Extended rights and Validated Writes
● ValidatedWrites – checks whether a user is
allowed to enter an attribute value (e.g
validateSPN)
● ExtendedRights – the rights to perform specific
operations – e.g update the schema, modify or
replicate from a replica, etc.
28. LDAPCon 2015, Edinburgh
Constructed attributes
● AllowedAttributes – all attributes this object may have
● AllowedAttributesEffective – attributes that are
permitted to be assigned to a class
● AllowedChildClasses – the particular object is a
possible superior
● AllowedChildClassesEffective – the particular object
is a possible superior AND the principal has the right
to create child object of these classes
● sDRightsEffective
29. LDAPCon 2015, Edinburgh
SAM
● Handles creation of objects that represent
security principals
● Creates a SID for the new object
– If we are not the RID master, initiates a RID pool
allocation request
● Initializes user and group object attributes
● Handles userAccountControl
30. LDAPCon 2015, Edinburgh
Next Steps
● Implement proper partition creation – this will allow
proper provisioning and creation of application partitions.
● Reduce reliability on Samba libraries for reasons of
performance.
● Incorporate schema data in OpenLDAP as part of the
existing mechanism, rather than in a module.
● Finish porting the LDB module stack.
● Develop OpenLDAP to Samba communication
mechanism – necessary for DRSR and SAM.
31. LDAPCon 2015, Edinburgh
Testing
● Samba make test suite
– Extensive coverage of LDAP functionality with
Python Scripts
● Microsoft Documentation test suite
– Developed to test documentation consistency
– Very helpful in ensuring implementation
compatibility
32. LDAPCon 2015, Edinburgh
FAQ
● Is this a new version of Samba3 with an
OpenLDAP domain controller?
● Will I be able to integrate an existing non-AD
directory in an OpenLDAP server running in AD
compatibility mode?
● Will I be able to combine using LDAP access
lists with the AD access lists?