Pelatihan BIG DATA FOR TECHNICAL MANAGER & DECISION MAKERS

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)

4. 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
5. Search and Indexing data
   1. Full text search and beyond
   2. Elastic Search/Solr
6. 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

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

Training Serupa

• EXPORT IMPORTBandung
• PROJECT MANAGEMENT (5hr)Bandung
• PROJECT MANAGEMENT (3 Hr)Bandung
• HIGIENE SANITASI MAKANAN(Food Sanitation and Hygiene)Bandung
• PROJECT MANAGEMENT (PM) (5Hr)Bandung
• DRILLING ENGINEERING FOR NON-DRILLING ENGINEERSBandung
• TRAINING DEVELOPMENT MANAGEMENTBandung
• Digital Marketing untuk UMKM – Sertifikasi BNSPBandung, Jakarta, Yogyakarta
• Digital Marketing Berbasis Kecerdasan Buatan (Artificial Intelligence) – Sertifikasi BNSPBandung, Jakarta, Yogyakarta
• Search Engine Optimization (SEO) Specialist – Sertifikasi BNSPBandung, Jakarta, Yogyakarta
• Content Creator – Sertifikasi BNSPBandung, Jakarta, Yogyakarta
• Sosial Media Marketing – Sertifikasi BNSPBandung, Jakarta, Yogyakarta

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