Cloud computing, Cluster, DBMS, Hadoop, ML - Machine learning, R, Python, Scala, DW - Data warehouse, Elasticsearch, REST, ETL/ELT, OLAP, AWS - Amazon Web Service, GCP - Google Cloud Platform, Cryptography & Cipher, Docker & Kubernetes, Go, HBase, Hive, MongoDB, Kafka, Pentaho, Pigs, Spark, Zookeeper, IoT - Internet of Things, MySQL, NoSQL, Microsoft SQL Server Integration Services (SSIS), SQL Server Management Studio (SSMS), vmware, Talend, Cloudera, Tableau, Google Data Studio, File Maker Pro: - manage a hardware and software environment of big data - explore databases to identify relationships and correlations - understand mathematical models and complex problems - use specialized IT tools in big data and business intelligence - acquire, ingest and manage the data - implement the relevant technical solutions and create data processing solutions - translate business needs into robust analysis and visualization solutions (reporting) - define data interfaces - describe concepts related to big data management - manage a big data hardware and software environment (Big Data) - manage data warehouses - deal with big data - use a visualization tool (reporting) for business decision-making - data mining