Pelatihan BIG DATA FOR EXECUTIVE

DESCRIPTION

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. This course may attended by:

1. Business and data analysts who want to sharpen their analytical skills
2. Department heads and other senior managers who want to use the analytics output to improve their decision making
3. Marketing and business managers seeking to reach the intended audience through better analytics.

OBJECTIVE

This course introduces the concept of big data and how it can help business drive decisions, innovation and productivity. This course will help participants to gain an understanding of how managers use big data analytics to draw insights, formulate and solve business problems and to support managerial decision making.

They will also learn how to use and apply selected data analytics software. This course will benefit those who plan careers in analytics, targeted marketing, predictive modelling and strategic consulting. Participants will work on a project on Big Data Analytics and gain hands-on project experience

TRAINING MATERIAL OUTLINE

1. What is Big Data – introduction, sources, storage and retrieval management
2. Introduction to analytics and the need for Big Data Analytics
3. When is an organisation ready for Big Data Analytics?
   1. Assessing the maturity for Big Data Analytics
   2. Big Data and Enterprise Master Data Management
   3. Big Data Governance
4. Data Mining for Business
5. Hadoop and its ecosystem for Big Data
   1. What is Hadoop?
   2. The Hadoop Distributed File System
   3. How MapReduce Works
   4. Anatomy of a Hadoop Cluster
   5. Motivation for Hadoop: Requirements for a new approach
   6. Comparing Hadoop Vs. Traditional systems
   7. Hadoop Solutions – Big Picture
   8. NoSQL Databases
   9. Hadoop ecosystem
6. Understanding text analytics, sentiment analysis and social network analysis using case studies and hands on exercises using tools
7. Using big data for decision making, innovation and increasing productivity across functions like marketing, supply chain and operations and finance
8. Understanding the impact of Big data Analytics on business performance using case studies
9. Big Data solutions and challenges on Cloud
10. Big Data Visualisation using Tableau.

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
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