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

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 2024Februari 2024Maret 2024April 2024
    3 – 5 Januari 20245 – 7 Februari 20244 – 6 Maret 20241 – 3 April 2024
    8 – 10 Januari 202412 – 14 Februari 202412 – 14 Maret 202422 – 24 April 2024
    15 – 17 Januari 202419 – 21 Februari 202418 – 20 Maret 202429 April – 1 Mei 2024
    22 – 24 Januari 202426 – 28 Februari 202425 – 27 Maret 2024
    29 – 31 Januari 2024
    Mei 2024Juni 2024Juli 2024Agustus 2024
    6 – 8 Mei 20243 – 5 Juni 20241 – 3 Juli 20245 – 7 Agustus 2024
    13 – 15 Mei 202410 – 12 Juni 20248 – 10 Juli 202412 – 14 Agustus 2024
    20 – 22 Mei 202419 – 21 Juni 202415 – 17 Juli 202419 – 21 Agustus 2024
    27 – 29 Mei 202424 – 26 Juni 202422 – 24 Juli 202426 – 28 Agustus 2024
    29 – 31 Juli 2024
    September 2024Oktober 2024November 2024Desember 2024
    2 – 4 September 20241 – 3 Oktober 20244 – 6 November 20242 – 4 Desember 2024
    9 – 11 September 20247 – 9 Oktober 202411 – 13 November 20249 – 11 Desember 2024
    16 – 18 September 202414 – 16 Oktober 202418 – 20 November 202416 – 18 Desember 2024
    23 – 25 September 202421 – 23 Oktober 202425 – 27 November 202426 – 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