i Data Services
- jim mason
Key Points
References
| Reference_description_with_linked_URLs_________________________ | Notes_________________________________________________________________ |
|---|---|
https://career.guru99.com/top-10-redis-interview-questions/ https://drive.google.com/open?id=17PQsNq-WodhWUc8TEqKoYPWMyr7GBhDE | Redis questions can set expiry time on keys to auto-delete on full, single threaded, 2gb key length shards, replication are user managed |
https://www.onlineinterviewquestions.com/memcached-interview-questions/ https://drive.google.com/open?id=1nzwOhpwlUOX_l4_8zWdtIJwTl5RE89Jk | Memcached questions very limited cache, uses LRU logic |
https://www.javatpoint.com/memcached-interview-questions-and-answers https://drive.google.com/open?id=15bUGZ2tLbbHWwHRvruX8ugsONQEe__UE | More Memcached questions |
Key Concepts
What are key technologies for data science data management?
- best-practices in software development (PySpark, Python, JavaScript, and SQL) to guide platform and data engineers in developing scalable and maintainable code
Data Services Skills YOU'LL NEED:
Education and Experience
Expertise using data visualization tools such as Tableau/QuickSight - BIRT or MS PowerBI or Grafana or GCP GDS
Expertise using ETL tools such as Pentaho/Databricks/Apache NiFi
Expertise in coding in SQL and Python/Spark
Experience with databases such as Netezza/SQL Server/Snowflake or MySQL or MariaDB
Experience with streaming data (AWS Kinesis and Kafka) or Java / Nodejs streams
Knowledge, Skills and Abilities
Familiarity with Amazon Web Services - basic IAAS and Lambda functions
Familiarity in coding with Javascript, Linux Shell Scripting, Scala, Perl, or Powershell.
Familiarity with Big Data platforms (Hadoop, Hive).
Familiarity with predictive analytics/machine learning – Tensorflow and Keras
Potential Value Opportunities
Potential Challenges
Candidate Solutions
Step-by-step guide for Example
sample code block