{"id":40029,"date":"2022-12-13T11:10:52","date_gmt":"2022-12-13T08:10:52","guid":{"rendered":"https:\/\/bilgem.tubitak.gov.tr\/?page_id=40029"},"modified":"2023-11-03T14:37:36","modified_gmt":"2023-11-03T11:37:36","slug":"bte-trainings","status":"publish","type":"page","link":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/egitimler\/bte-egitimleri\/","title":{"rendered":"BTE Trainings"},"content":{"rendered":"
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\n\t\t\t\t\t\t\t\t\tBTE Home<\/a>\u00a0 \u00a0\/\u00a0 \u00a0Trainings\u00a0<\/a> \/\u00a0 \u00a0BTE Trainings<\/a>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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TRAININGS<\/h3>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\tInformation Technologies Institute Trainings<\/span>\n\t\t\t\t\t\t\t<\/h1>\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Big Data Trainings<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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<\/i><\/span><\/i><\/span>Big Data Learning Training<\/span><\/i><\/div>

Duration of Education<\/strong><\/p><\/td>

\u2022 2 days<\/p><\/td><\/tr>

Prerequisites<\/strong><\/p><\/td>

\u2022 To graduate from fields such as Engineering, Mathematics, Statistics, Informatics.
\u2022 To have basic Python knowledge.
\u2022 To have basic Linux knowledge.<\/p><\/td><\/tr>

Who Can Participate?<\/strong><\/p><\/td>

\u2022 Designing highly scalable distributed systems dealing with big data expertise and using different open source tools,
\u2022 Understanding how algorithms work and creating high-performance algorithms,
\u2022 Working on processes such as collecting, parsing, managing, analyzing and visualizing complex big data projects,
\u2022 It is suitable for people who want to decide on the necessary hardware and software design needs and design processes according to these decisions.<\/p><\/td><\/tr>

Education Goals<\/strong><\/p><\/td>

\u2022 Learning basic information about the history of big data, Hadoop foundations and basic technologies that make up the ecosystem,
\u2022 Learning the basics of project life cycle, data collection, data evaluation, data conversion and data analysis,
\u2022 To learn the basic information about the features and usage of the distributed file system (HDFS) that makes up the core Hadoop and YARN, which provides resource management,
\u2022 Planning big data set setup, learning information about big data set setup, configuration and management with Ambari,<\/p>

\u2022 To learn general information about usage scenarios and basic components for Kafka and Nifi, which are the basis of data transfer technologies,
\u2022 Learning basic information about Flume and Sqoop, which are used to transfer data to Hadoop environment,
\u2022 Learning basic information about Hive, which enables to run query scripts on files in the distributed file system,
\u2022 Learning basic information about Spark and SQL, DataFrame, Machine Learning and GraphX libraries used to perform in-memory analysis and analytical studies on big data,
\u2022 Learning basic information about Pig Latin script language for data analysis,
\u2022 Learning basic information about Zookeeper, which is a service manager in the big data ecosystem, and Oozie, which is a business planner,
\u2022 To learn basic information about NoSQL databases and their usage.<\/p><\/td><\/tr>

Subject Headings<\/strong><\/p><\/td>

\u2022 Big Data History and Fundamentals
\u2022 Data Science Fundamentals
\u2022 Kernel Hadoop: HDFS and YARN
\u2022 Big Data Cluster Management with Ambari
\u2022 Data Integration: Kafka and Nifi
\u2022 Data Integration: Flume and Sqoop
\u2022 Data Analysis: Hive
\u2022 Data Processing: Spark (Streaming, SQL, DataFrame, ML, GraphX)
\u2022 Data Analysis: Pig
\u2022 Zookeeper and Oozie
\u2022 Data Storage: Hbase<\/p><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t<\/div>

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<\/i><\/span><\/i><\/span>Machine Learning Training<\/span><\/i><\/div>

Duration of Education<\/strong><\/p><\/td>

\u2022 2 days<\/p><\/td><\/tr>

Prerequisites<\/strong><\/p><\/td>

\u2022 To have knowledge of data, data analysis, mathematics, statistics, computer science, database, database query.
\u2022 To have basic Python knowledge.
\u2022 To have basic Linux knowledge.<\/p><\/td><\/tr>

Who Can Participate?<\/strong><\/p><\/td>

\u2022 Software developers, analysts and data scientists who need to implement data science and machine learning in Spark \/ Hadoop,
\u2022 Collecting, analyzing and interpreting enormous amounts of data,
\u2022 Using advanced analysis technologies,
\u2022 Those who want to work on large amounts of data, collecting and analyzing data, detecting patterns, trends and relationships in data sets and various analysis and
It is suitable for people who want to use reporting tools.<\/p><\/td><\/tr>

Education Goals<\/strong><\/p><\/td>

\u2022 Learning the basics of project life cycle, data collection, data evaluation, data conversion and data analysis,
\u2022 Theoretical learning of machine learning (guided\/unguided algorithms) algorithms,
\u2022 Learning the basics of working on flowing data and using machine learning algorithms with Spark, which is used to perform in-memory analysis and analytical studies on big data,
\u2022 Making sample application studies.<\/p><\/td><\/tr>

Subject Headings<\/strong><\/p><\/td>

\u2022 Data Science Fundamentals
\u2022 Machine Learning Methods
\u2022 Spark ML
\u2022 Spark ML Lab Study
\u2022 Application Study<\/p><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t<\/div>

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<\/i><\/span><\/i><\/span>Big Data Artificial Intelligence Training<\/span><\/i><\/div>

Duration of Education<\/strong><\/p><\/td>

\u2022 4 days<\/p><\/td><\/tr>

Prerequisites<\/strong><\/p><\/td>

\u2022 To graduate from fields such as Engineering, Mathematics, Statistics, Informatics.
\u2022 To have basic Python knowledge.
\u2022 To have basic Linux knowledge.
\u2022 To have knowledge of data, data analysis, mathematics, statistics, computer science, database, database query.<\/p><\/td><\/tr>

Who Can Participate?<\/strong><\/p><\/td>

\u2022 Designing highly scalable distributed systems dealing with big data expertise and using different open source tools,
\u2022 Understanding how algorithms work and creating high-performance algorithms,
\u2022 Working on processes such as collecting, parsing, managing, analyzing and visualizing complex big data projects,
\u2022 It is suitable for people who want to decide on the necessary hardware and software design needs and design processes according to these decisions.
\u2022 Software developers, analysts and data scientists who need to implement data science and machine learning in Spark \/ Hadoop,
\u2022 Collecting, analyzing and interpreting huge amounts of data, using advanced analysis technologies,
\u2022 Those who want to work on large amounts of data, collecting and analyzing data, detecting patterns, trends and relationships in data sets and various analysis and
using reporting tools<\/p><\/td><\/tr>

Education Goals<\/strong><\/p><\/td>

\u2022 Learning basic information about scenarios that require the emergence of the big data concept, Hadoop fundamentals and basic technologies that make up the ecosystem,
\u2022 To learn the basic information about the features and usage of the distributed file system (HDFS) that makes up the core Hadoop and YARN, which provides resource management,
\u2022 Planning big data set setup, learning information about big data set setup, configuration and management with Ambari,
\u2022 To learn general information about usage scenarios and basic components for Kafka and Nifi, which are the basis of data transfer technologies,
\u2022 Learning basic information about Flume and Sqoop used for data transfer to Hadoop environment
\u2022 Learning basic information about Hive, which enables to run query scripts on files in the distributed file system,
\u2022 Learning basic information about Spark, Streaming, SQL, DataFrame and GraphX libraries, which are used to perform in-memory analysis and analytical studies on big data,
\u2022 Learning the basics of Pig Latin script language for data analysis
\u2022 To learn basic information about Zookeeper, which is a service manager in the Big Data Ecosystem, and Oozie, which is a business planner,
\u2022 Learning basic information about NoSQL databases and their usage,
\u2022 Learning the basics of project life cycle, data collection, data evaluation, data conversion and data analysis,<\/p>

\u2022 Learning basic information about Artificial Intelligence and Machine Learning,
\u2022 Learning the basics of using machine learning algorithms with Spark, which is used to perform in-memory analysis and analytical studies on big data,
\u2022 Making sample application studies
\u2022 Examining case studies on Advanced Analytics Applications in Big Data
\u2022 Examining how big data technologies and artificial intelligence can be used in real world problems<\/p><\/td><\/tr>

Subject Headings<\/strong><\/p><\/td>

\u2022 Big Data History and Fundamentals
\u2022 Kernel Hadoop: HDFS and YARN
\u2022 Big Data Cluster Management with Ambari
\u2022 Data Integration: Kafka and Nifi
\u2022 Data Integration: Flume and Sqoop
\u2022 Data Analysis: Hive
\u2022 Data Processing: Spark (Streaming, SQL, DataFrame, GraphX)
\u2022 Data Analysis: Pig
\u2022 Zookeeper and Oozie
\u2022 Data Storage: HBase
\u2022 Data Science Fundamentals
\u2022 Artificial Intelligence and Machine Learning Fundamentals
\u2022 Data Processing: Spark ML
\u2022 Spark ML Lab Study
\u2022 Advanced Analytics Applications in Big Data
\u2022 Big data technologies and artificial
How can intelligence be used?
\u2022 Application Study<\/p><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t<\/div>

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<\/i><\/span><\/i><\/span>Spark Training<\/span><\/i><\/div>

Duration of Education<\/strong><\/p><\/td>

\u2022 3 days<\/p><\/td><\/tr>

Prerequisites<\/strong><\/p><\/td>

\u2022 To have knowledge of data, data analysis, mathematics, statistics, computer science, database, database query.
\u2022 To have basic Linux knowledge.<\/p><\/td><\/tr>

Who Can Participate?<\/strong><\/p><\/td>

\u2022 Software developers, analysts and data scientists who need to apply data science and machine learning with Spark,
\u2022 Collecting, analyzing and interpreting enormous amounts of data,
\u2022 Using advanced analysis technologies,
\u2022 Those who want to work on large amounts of data, collecting and analyzing data, detecting patterns, trends and relationships in data sets and various analysis and
Suitable for people who want to use reporting tools<\/p><\/td><\/tr>

Education Goals<\/strong><\/p><\/td>

\u2022 Learning the basics of Python Programming,
\u2022 Learning basic information about big data foundations and basic technologies that make up the ecosystem,
\u2022 To learn the basic information about the features and usage of the distributed file system (HDFS) that makes up the core Hadoop and YARN, which provides resource management,
\u2022 Learning basic information about Spark and SQL, DataFrame, Machine Learning and GraphX libraries used to perform in-memory analysis and analytical studies on big data,
\u2022 Learning the basics of using machine learning algorithms with Spark, which is used to perform in-memory analysis and analytical studies on big data,<\/p><\/td><\/tr>

Subject Headings<\/strong><\/p><\/td>

\u2022 Introduction to Python
\u2022 Big Data Fundamentals
\u2022 Kernel Hadoop: HDFS and YARN
\u2022 Spark Architecture
\u2022 Spark Low Level API (RDD)
\u2022 Spark High Level API (DataFrame, Dataset, SQL) DataFrame
and Dataset Persistence
\u2022 Spark Streaming
\u2022 Spark Structured Streaming
\u2022 Spark Distributed Processing
\u2022 Writing, Configuring and Running Spark Applications
\u2022 Performance Tuning
\u2022 Spark ML
\u2022 Deep Learning with Spark<\/p><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t<\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Safir Cloud Trainings<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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<\/i><\/span><\/i><\/span>OpenStack User Training<\/span><\/i><\/div>

Duration of Education<\/strong><\/p><\/td>

\u2022 1 day<\/p><\/td><\/tr>

Prerequisites<\/strong><\/p><\/td>

\u2022 To graduate from fields such as Engineering, Mathematics, Statistics, Informatics.
\u2022 To have basic Linux knowledge.
\u2022 Have basic Networking knowledge.<\/p><\/td><\/tr>

Who Can Participate?<\/strong><\/p><\/td>

\u2022 Employees as System Specialists
\u2022 Information processing officers
\u2022 Those who manage systems in distributed and clustering architectures
\u2022 Cloud infrastructure users<\/p><\/td><\/tr>

Education Goals<\/strong><\/p><\/td>

\u2022 Learning basic information about the history of virtualization and virtualization technologies
\u2022 Learning the advantages and disadvantages of virtualization
\u2022 Learning basic information about Cloud Computing
\u2022 Learning the advantages and disadvantages of Cloud Computing
\u2022 Learning basic information about Cloud Computing service models
\u2022 Detailed explanation of Cloud Types
\u2022 Explaining basic features about OpenStack
\u2022 Learning the basics of OpenStack Architecture
\u2022 Learning basic information about OpenStack services
\u2022 Virtual machine, virtual network and disk on Safir Cloud
Demonstration of creation steps in detail
\u2022 Organizing a workshop on Safir Cloud<\/p><\/td><\/tr>

Subject Headings<\/strong><\/p><\/td>

\u2022 Virtualization History and Fundamentals
\u2022 Cloud Computing History and Fundamentals
\u2022 Cloud Computing Service Models
\u2022 Types of Cloud Computing
\u2022 OpenStack History and Fundamentals
\u2022 OpenStack Architecture
\u2022 Sapphire Cloud Bootcamp<\/p><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t<\/div>

\n\t\t\t\t\t
<\/i><\/span><\/i><\/span>OpenStack Admin Training<\/span><\/i><\/div>

Duration of Education<\/strong><\/p><\/td>

\u2022 3 days<\/p><\/td><\/tr>

Prerequisites<\/strong><\/p><\/td>

\u2022 To graduate from fields such as Engineering, Mathematics, Statistics, Informatics.
\u2022 To have basic Linux knowledge.
\u2022 To have basic knowledge of Linux Bash Script.
\u2022 Have basic Networking knowledge.
\u2022 Have basic Python knowledge<\/p><\/td><\/tr>

Who Can Participate?<\/strong><\/p><\/td>

\u2022 Employees as System Specialists
\u2022 Information processing officers
\u2022 Those who manage systems in distributed and clustering architectures
\u2022 Cloud infrastructure administrators
\u2022 Data Center Managers<\/p><\/td><\/tr>

Education Goals<\/strong><\/p><\/td>

\u2022 Learning basic information about the history of virtualization and virtualization technologies
\u2022 Learning the advantages and disadvantages of virtualization
\u2022 Learning basic information about Cloud Computing
\u2022 Learning the advantages and disadvantages of Cloud Computing
\u2022 Learning basic information about Cloud Computing service models
\u2022 Detailed explanation of Cloud Types
\u2022 Explaining basic features about OpenStack
\u2022 Learning the basics of OpenStack Architecture
\u2022 Learning basic information about OpenStack services
\u2022 Detailed explanation of OpenStack Identity Management (Keystone) service
\u2022 Detailed explanation of OpenStack Image Management (Glance) service
\u2022 Detailed explanation of OpenStack Compute (Nova) service
\u2022 Detailed explanation of OpenStack Block Storage (Cinder) service<\/p>

\u2022 Detailed explanation of OpenStack Network Management (Neutron) service
\u2022 Detailed explanation of Ansible, the IT automation language
\u2022 Learning the basics of OpenStack installation
\u2022 Learning the basics of OpenStack Ansible
\u2022 Virtual machine, virtual network and disk on Safir Cloud
Demonstration of creation steps in detail
\u2022 Organizing a workshop on Safir Cloud<\/p><\/td><\/tr>

Subject Headings<\/strong><\/p><\/td>

\u2022 Virtualization History and Fundamentals
\u2022 Cloud Computing History and Fundamentals
\u2022 Cloud Computing Service Models
\u2022 Types of Cloud Computing
\u2022 OpenStack History and Fundamentals
\u2022 OpenStack Architecture
\u2022 Sapphire Cloud Bootcamp<\/p><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t<\/div>

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<\/i><\/span><\/i><\/span>Ansible Training<\/span><\/i><\/div>

Duration of Education<\/strong><\/p><\/td>

\u2022 1 day<\/p><\/td><\/tr>

Prerequisites<\/strong><\/p><\/td>

\u2022 To graduate from fields such as Engineering, Mathematics, Statistics, Informatics.
\u2022 To have basic Python knowledge.
\u2022 To have basic Linux knowledge.
\u2022 Having basic knowledge of Linux Bash Script
\u2022 Have basic Networking knowledge.<\/p><\/td><\/tr>

Who Can Participate?<\/strong><\/p><\/td>

\u2022 Employees as System Specialists
\u2022 Information processing officers
\u2022 Those who manage systems in distributed and clustering architectures
\u2022 Cloud infrastructure administrators
\u2022 Data Center Managers<\/p><\/td><\/tr>

Education Goals<\/strong><\/p><\/td>

\u2022 Explaining Ansible's features and architecture
\u2022 Installing Ansible
\u2022 Learning Ansible core components
\u2022 Writing scripts to be executed in Ansible and writing a playbook
\u2022 Installing a service running in clustering architecture with Ansible<\/p><\/td><\/tr>

Subject Headings<\/strong><\/p><\/td>

\u2022 Introduction to Ansible language
\u2022 Ansible Installation
\u2022 Inventory
\u2022 Ad-Hoc tasks
\u2022 Modules
\u2022 Plugins
\u2022 Ansible Playbooks
\u2022 Ansible Roles<\/p><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t<\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

BTE Ana Sayfa\u00a0 \u00a0\/\u00a0 \u00a0E\u011fitimler\u00a0 \/\u00a0 \u00a0BTE E\u011fitimleri E\u011e\u0130T\u0130MLER Bili\u015fim Teknolojileri Enstit\u00fcs\u00fc E\u011fitimleri B\u00fcy\u00fck Veri E\u011fitimleri B\u00fcy\u00fck Veri \u00d6\u011frenmesi E\u011fitimi […]<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":38091,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"elementor_header_footer","meta":{"_acf_changed":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"full-width-container","site-content-style":"unboxed","site-sidebar-style":"unboxed","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-40029","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/wp-json\/wp\/v2\/pages\/40029","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/wp-json\/wp\/v2\/comments?post=40029"}],"version-history":[{"count":5,"href":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/wp-json\/wp\/v2\/pages\/40029\/revisions"}],"predecessor-version":[{"id":124337,"href":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/wp-json\/wp\/v2\/pages\/40029\/revisions\/124337"}],"up":[{"embeddable":true,"href":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/wp-json\/wp\/v2\/pages\/38091"}],"wp:attachment":[{"href":"https:\/\/en.bilgem.tubitak.gov.tr\/en\/wp-json\/wp\/v2\/media?parent=40029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}