BIG DATA FOR TECHNICAL MANAGER & DECISION MAKERS

Acara

04 – 06 Maret 2019 | Rp 6.500.000/ peserta di Bandung
22 – 24 April 2019 | Rp 6.500.000/ peserta di Bandung
27 – 29 Mei 2019 | Rp 6.500.000/ peserta di Bandung
19 – 21 Juni 2019 | Rp 6.500.000/ peserta di Bandung

Jadwal Training 2019 Selanjutnya …

 

 

DESCRIPTION

This course is intended for decision makers, technical managers and team leaders, who are interested to learn how to design big data solutions. This course will introduce concepts, use-cases and leading products that are used to design a scalable solution for big data in the modern data landscape. This course will introduce the different components a big data solution is comprised of, using pre-defined use cases as an example on how to plan a solution, from start to finish.

 

OBJECTIVE

  • Be familiar with data trends in recent years, the potential hidden in that data and the problems new data platforms need to handle with.
  • Be familiar with the different components needed to build a big data solution, such as data ingestion, analysis and transformation.
  • Be familiar with big data use cases
  • Be familiar with big data products

 

BIG DATA FOR TECHNICAL MANAGER & DECISION MAKERS TRAINING MATERIAL OUTLINE

  1. The modern data trends
    1. Modern data trends and use cases
    2. What is Big Data?
    3. The building blocks of big data solutions
      1. Ingesting, Querying, Indexing, Processing and Analyzing
      2. Hadoop and Hadoop eco-system
    4. The Lambda architecture, and other design patterns
      1. Horizontal Scaling
      2. Micro-Services
    5. Introducing our Use-Cases
  2. Ingesting Data
    1. How data is collected?
    2. Where to keep data?
    3. Kafka vs. Flume vs. Sqoop
  3. Saving and Querying Data
    1. Distributed File Storage
      1. Saving data over HDFS
      2. Querying data using SQL over data files
  • Using Hive
  1. NoSQL Introduction
    1. Key-Value Stores (Riak)
    2. Columnar Databases (Cassandra)
  • Document Databases (Couchbase)
  1. Graph Databases (Neo4j)
  1. Processing Data
    1. Extract, Transform, Load
    2. ETL using Pig
    3. Batch Processing
    4. Hadoop vs. Spark
    5. Near-Real-Time Processing
    6. Storm vs. Spark Streaming
  2. Search and Indexing data
    1. Full text search and beyond
    2. Elastic Search/Solr
  3. Big Data solutions, End-to-End
    1. Public Cloud Deployments
    2. Workflow Management
    3. Security

 

RECOMMENDATION FOR PARTICIPANT: Participant must bring Laptop for practice sessions

 

INSTRUCTOR :    Abdullah Fajar, S.Si.,M.Sc.

 

VENUE :   Bandung (Golden Flower, Banana Inn, Serela, Gino Feruci), Amaroossa Hotel, Noor Hotel, Grand Setiabudi Hotel, dll

 

TRAINING DURATION :   3 days

 

JADWAL TRAINING 2019

  1. 04 Mar 2019-06 Mar 2019
  2. 22 Apr 2019-24 Apr 2019
  3. 27 Mei 2019-29 Mei 2019
  4. 19 Jun 2019-21 Jun 2019
  5. 22 Jul 2019-24 Jul 2019
  6. 05 Agust 2019-07 Agust 2019
  7. 02 Sep 2019-04 Sep 2019
  8. 21 Okt 2019-23 Okt 2019
  9. 04 Nop 2019-06 Nop 2019
  10. 02 Des 2019-04 Des 2019

 

INVESTATION PRICE/PERSON :

  1. Rp. 6.500.000/peserta (bayar penuh)  atau
  2. Rp. 6.250.000/peserta (early bird, yang membayar 1 minggu sebelum training)  atau
  3. Rp. 5.950.000/peserta (peserta bergroup yang terdiri dari 3 peserta atau lebih dari 1 perusahaan yang sama)

 

FACILITIES FOR PARTICIPANTS:

  1. Modul Training
  2. Flash Disk berisi materi training
  3. Sertifikat
  4. ATK: NoteBook dan Ballpoint
  5. T-Shirt
  6. Ransel
  7. Foto Training
  8. Ruang Training dengan fasilitas Full AC dan multimedia
  9. Makan siang dan 2 kali coffeebreak
  10. Instruktur yang Qualified
  11. Transportasi untuk peserta dari hotel penginapan ke hotel tempat training – PP (jika peserta minimal dari satu perusahaan ada 4 peserta)

 

BIG DATA FOR TECHNICAL MANAGER & DECISION MAKERS

 

Formulir Pra-Pendaftaran Public Training / Permintaan Informasi Lebih Lanjut
  1. JENIS INFORMASI/TRAINING
  2. (required)
  3. (required)
  4. DATA PRIBADI
  5. (required)
  6. (required)
  7. (required)
  8. (valid email required)
  9. (required)
  10. (required)
  11. DATA PRE REGISTRATION (Tidak Mengikat)
  12. (required)
  13. PESAN UNTUK PENYELENGGARA TRAINING
 

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