Ergebnisse für "data+engineering"
Status: NeuStatus: Kostenloser TestzeitraumPragmatic AI Labs
Kompetenzen, die Sie erwerben: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Python-Programmierung, Web Scraping, Einheitstest, Daten-Pipelines, Grundsätze der Programmierung, IBM DB2, Datenbank-Design, Datenspeicherung, Big Data, Datenarchitektur, Daten importieren/exportieren, Relationale Datenbanken, SQL Server Integrationsdienste (SSIS), Datenbanken, Technologien zur Datenspeicherung, Auszug, PostgreSQL, Gespeicherte Prozedur, SQL, Datenbank Management
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Dashboard, Data Preprocessing, Apache Airflow, Star Schema, Data Storytelling, Process Mapping, Extract, Transform, Load, Data Transformation, SQL, Data Pipelines, JSON, Apache Kafka, Data Warehousing, Data Modeling, Pandas (Python Package), Business Intelligence, Data Validation, Data Quality, Performance Improvement, Python Programming
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Apache Hadoop, Scala Programming, Spring Boot, Development Environment, Apache, JSON, Data Processing, Information Architecture, Live Streaming, Data Transformation, Java, Restful API, Performance Tuning, Software Architecture, Data Validation, System Configuration
Status: Kostenloser TestzeitraumStatus: KI-FähigkeitenKompetenzen, die Sie erwerben: Python-Programmierung, Linux-Befehle, Datenbankadministration, Datenwissenschaft, Daten-Pipelines, Professionelles Netzwerken, Apache Hadoop, Datenbank-Design, Generative KI, IBM Cognos-Analytik, Web Scraping, NoSQL, Daten importieren/exportieren, Apache Spark, Relationale Datenbanken, Data-Warehousing, Datenbank Management, Auszug, SQL, Datenanalyse
Status: NeuStatus: Kostenloser TestzeitraumPragmatic AI Labs
Kompetenzen, die Sie erwerben: Data Pipelines, Extract, Transform, Load, Data Lakes, Databricks, Data Architecture, Data Processing, Data Wrangling, Data Strategy, Data Presentation, Data Mining, Data Management, Data Governance, Data Integrity, Data Science, Live Streaming, SQL, Data Storage, Data Ethics, Data Security, Apache
Was führt Sie heute zu Coursera?
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Apache Airflow, Docker (Software), Git (Version Control System), Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Continuous Deployment, Database Management, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, SQL, Automation, Configuration Management, Root Cause Analysis, Python Programming
Status: Kostenloser TestzeitraumSnowflake
Kompetenzen, die Sie erwerben: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Warehousing, Change Control, DevOps, Cloud Development, SQL, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Development Tools, Stored Procedure, Data Analysis
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Datenwissenschaft, Daten-Seen, Big Data, Apache Hadoop, Datenspeicherung, Daten-Pipelines, Datensicherheit, Apache Spark, Data-Warehousing, Daten-Integration, Datenarchitektur, Daten-Governance, Datenumwandlung, NoSQL, Technologien zur Datenspeicherung, Relationale Datenbanken, Datenbanken, Auszug, SQL
Status: Kostenloser TestzeitraumDuke University
Kompetenzen, die Sie erwerben: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Storage Technologies, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing
Status: Kostenloser TestzeitraumMehrere Erzieher
Kompetenzen, die Sie erwerben: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Vector Databases, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Dataflow, Data Integration, Data Management
Was führt Sie heute zu Coursera?
Zusammenfassend finden Sie hier 10 unsere beliebtesten data+engineering Kurse
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- Grundlagen der Datentechnik: IBM
- Data Pipeline Engineering & Analytics: Coursera
- Apache Avro & Kafka Data Engineering Projects: EDUCBA
- IBM Datentechnik: IBM
- Data Engineering with Delta Lake on Databricks: Pragmatic AI Labs
- DataOps: Automation & Reliability: Coursera
- Snowflake Data Engineering: Snowflake
- Einführung in das Dateningenieurswesen: IBM
- Applied Python Data Engineering: Duke University
