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Similar to DE Plan 2024, Data engineers work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret
Similar to DE Plan 2024, Data engineers work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret (20)
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DE Plan 2024, Data engineers work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret
- 2. Now and then • Supporting Service for Data Pipeline Process • Software House • Next …. ???
- 3. Threat and Opportunity Threat Opportunity Technology Evolve Knowledge obsoletes quickly Technology Evolve Let’s ride the wave Indonesia’s Digital Transformation Red Oceans Indonesia’s Digital Transformation Positioning
- 4. Next …. positioning • How to pick tech • How to pick people • How to develop capability
- 5. Tech Cloud Service, IOT, Python & OOP
- 6. People IT background and strong in data analytics IT Outsoursing
- 7. People Reasons for IT Outsourcing • Cost Savings: Outsourcing can often be more cost-effective than maintaining in-house teams, especially when labor costs are lower in the outsourcing destination. • Access to Expertise: Companies can tap into the specialized skills and knowledge of external IT professionals. • Focus on Core Competencies: Outsourcing allows organizations to concentrate on their core business functions while leaving non-core tasks to experts. • Scalability: Outsourcing provides flexibility to scale IT resources up or down based on business needs.
Editor's Notes
- 1. Technical skills Data modeling & Database design: Understanding relational and NoSQL databases, normalization, and denormalization. Big Data Technologies: Familiarity with big data frameworks such as Hadoop, Spark, and others. ETL processes: Knowledge of extraction, transformation, and loading (ETL) processes and tools like Apache NiFi, Talend, and others. Streaming data platforms: Experience with platforms like Apache Kafka, Apache Flink, etc. Programming & Scripting: Proficiency in languages commonly used in data engineering, such as Python, Java, Scala, and SQL. Cloud platforms: Familiarity with cloud platforms such as AWS, Azure, and GCP, and their respective big data solutions. Performance tuning: Ability to optimize database performance, queries, and ETL processes. Data warehousing solutions: Knowledge of tools and platforms like Snowflake, Redshift, BigQuery, etc. Data Security: Awareness of data encryption, masking, and compliance standards.
- Reasons for IT Outsourcing Cost Savings: Outsourcing can often be more cost-effective than maintaining in-house teams, especially when labor costs are lower in the outsourcing destination. Access to Expertise: Companies can tap into the specialized skills and knowledge of external IT professionals. Focus on Core Competencies: Outsourcing allows organizations to concentrate on their core business functions while leaving non-core tasks to experts. Scalability: Outsourcing provides flexibility to scale IT resources up or down based on business needs.
- Reasons for IT Outsourcing Cost Savings: Outsourcing can often be more cost-effective than maintaining in-house teams, especially when labor costs are lower in the outsourcing destination. Access to Expertise: Companies can tap into the specialized skills and knowledge of external IT professionals. Focus on Core Competencies: Outsourcing allows organizations to concentrate on their core business functions while leaving non-core tasks to experts. Scalability: Outsourcing provides flexibility to scale IT resources up or down based on business needs.