BIG DATA FOR TECHNICAL MANAGER & DECISION MAKERS

Training syllabus

BIG DATA FOR TECHNICAL MANAGER & DECISION MAKERS

 

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

 

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

 

TRAINING DURATION :   3 days

 

TRAINING TIME :  

  1. Januari 2024 Februari 2024 Maret 2024 April 2024
    3 – 5 Januari 2024 5 – 7 Februari 2024 4 – 6 Maret 2024 1 – 3 April 2024
    8 – 10 Januari 2024 12 – 14 Februari 2024 12 – 14 Maret 2024 22 – 24 April 2024
    15 – 17 Januari 2024 19 – 21 Februari 2024 18 – 20 Maret 2024 29 April – 1 Mei 2024
    22 – 24 Januari 2024 26 – 28 Februari 2024 25 – 27 Maret 2024
    29 – 31 Januari 2024
    Mei 2024 Juni 2024 Juli 2024 Agustus 2024
    6 – 8 Mei 2024 3 – 5 Juni 2024 1 – 3 Juli 2024 5 – 7 Agustus 2024
    13 – 15 Mei 2024 10 – 12 Juni 2024 8 – 10 Juli 2024 12 – 14 Agustus 2024
    20 – 22 Mei 2024 19 – 21 Juni 2024 15 – 17 Juli 2024 19 – 21 Agustus 2024
    27 – 29 Mei 2024 24 – 26 Juni 2024 22 – 24 Juli 2024 26 – 28 Agustus 2024
    29 – 31 Juli 2024
    September 2024 Oktober 2024 November 2024 Desember 2024
    2 – 4 September 2024 1 – 3 Oktober 2024 4 – 6 November 2024 2 – 4 Desember 2024
    9 – 11 September 2024 7 – 9 Oktober 2024 11 – 13 November 2024 9 – 11 Desember 2024
    16 – 18 September 2024 14 – 16 Oktober 2024 18 – 20 November 2024 16 – 18 Desember 2024
    23 – 25 September 2024 21 – 23 Oktober 2024 25 – 27 November 2024 26 – 28 Desember 2024
    28 – 30 Oktober 2024

 

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)