Izibalo Ezinkulu Zedatha
( 25 Amamojula )

module #1
Isingeniso Sedatha Enkulu
Ukuchaza idatha enkulu, izici zayo, nokubaluleka ekuthathweni kwezinqumo zebhizinisi

module #2
I-Big Data Analytics Overview
Ukuqonda izinhlobo ezahlukene zezibalo, kanye nendima yokuhlaziya idatha enkulu ku ibhizinisi

module #3
Big Data Technologies
Uhlolojikelele lwe-Hadoop, Spark, NoSQL database, nobunye ubuchwepheshe bedatha enkulu

module #4
Hadoop Ecosystem
Bheka ngokujulile i-Hadoop, okuhlanganisa i-HDFS, i-MapReduce, ne-YARN

module #5
Spark Fundamentals
Isingeniso ku-Apache Spark, ukwakheka kwayo, kanye namacala okusetshenziswa

module #6
NoSQL Databases
Ukuqonda izinhlobo ezahlukene zolwazi lwe-NoSQL, okuhlanganisa inani elingukhiye, idokhumenti, nesizindalwazi segrafu

module #7
Ukufakwa Kwedatha Nokucubungula
Ukuqoqa, ukucubungula, nokugcina idatha enkulu kusetshenziswa amathuluzi afana ne-Flume, Kafka, ne-NiFi

module #8
Data Storage and Management
Ukuklama nokusebenzisa izixazululo zokulondoloza idatha kusetshenziswa i-HDFS, HBase , kanye no-Cassandra

module #9
I-Data Warehousing ne-ETL
Ukwakha izindawo zokugcina idatha nokwenza imisebenzi ye-ETL (Extract, Transform, Load)

module #10
Big Data Analytics Tools
Uhlolojikelele lwamathuluzi amakhulu okuhlaziya idatha, okuhlanganisa i-Hive , Pig, and Spark SQL

module #11
Izisekelo Zokufunda Ngomshini
Isethulo emicabangweni yokufunda komshini, okuhlanganisa ukufunda okugadiwe nokungagadiwe

module #12
Machine Learning with Spark
Amamodeli okufunda omshini wokwakha kusetshenziswa i-Spark MLlib ne-Spark ML

module #13
Ukufunda Okujulile Ngedatha Enkulu
Isethulo emicabangweni nezindlela zokufunda ezijulile, okuhlanganisa amanethiwekhi emizwa kanye namanethiwekhi e-convolutional neural

module #14
I-Text Analytics ne-NLP
Ukuhlaziya nokucubungula idatha engahlelekile kusetshenziswa ukucutshungulwa kolimi lwemvelo ( NLP) amasu

module #15
Ukubonakala Kwedatha Yedatha Enkulu
Ukubona ngeso lengqondo imininingwane yedatha emikhulu usebenzisa amathuluzi afana ne-Tableau, Power BI, ne-D3.js

module #16
Izimo Zokusebenzisa Idatha Enkulu Nezinhlelo Zokusebenza
Ukuhlola umhlaba wangempela sebenzisa izimo nokusetshenziswa kokuhlaziywa kwedatha enkulu ezimbonini ezihlukahlukene

module #17
Ukuphepha Okukhulu Kwedatha Nokuphatha
Ukuqinisekisa ukuphepha kwedatha, ubumfihlo, nokuhambisana ezindaweni ezinkulu zedatha

module #18
I-Big Data Analytics ngePython
Ukusebenzisa I-Python yokuhlaziya idatha enkulu, okuhlanganisa ukukhohliswa kwedatha, ukubona ngamehlo engqondo, nokufunda ngomshini

module #19
I-Big Data Analytics eno-R
Ukusebenzisa i-R ngokuhlaziywa kwedatha enkulu, okuhlanganisa ukukhohlisa kwedatha, ukubona ngeso, nokufunda ngomshini

module #20
Okukhulu I-Data Analytics ku-Cloud
Ukuthumela izibalo zedatha ezinkulu ezinkundleni zokuxhumana zamafu, okuhlanganisa i-AWS, i-Azure, ne-GCP

module #21
I-Real-time Big Data Analytics
Ukuklama nokusebenzisa izixazululo zedatha enkulu yesikhathi sangempela kusetshenziswa amathuluzi afana I-Apache Storm ne-Apache Flink

module #22
Ikhwalithi Nokuphatha Kwedatha Enkulu
Ukuqinisekisa ikhwalithi yedatha, ubuqotho, nokuphatha ezindaweni ezinkulu zedatha

module #23
Izifundo Zezibalo Ezinkulu Zedatha
Ukuhlola izehlakalo zomhlaba wangempela kanye izindaba zempumelelo zezibalo ezinkulu zedatha ezimbonini ezihlukahlukene

module #24
Imikhuba Engcono Kakhulu Yezibalo Zedatha
Imikhuba emihle nemihlahlandlela yokusebenzisa amaphrojekthi amakhulu okuhlaziya idatha

module #25
Ukugoqwa Kwezifundo & Isiphetho
Ukuhlela izinyathelo ezilandelayo emsebenzini we-Big Data Analytics

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Ngosekelo Lwezwi

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Izibalo Ezinkulu Zedatha ( 25 Amamojula )

Ukulungele ukufunda, ukwaba, nokuncintisana?

Umsizi Wokufunda UlimiNgosekelo Lwezwi

Izibalo Ezinkulu Zedatha
( 25 Amamojula )

Umsizi Wokufunda Ulimi
Ngosekelo Lwezwi