Ly Thai To

Level 5, 41A Ly Thai To Street, Hanoi, Vietnam

The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is located within five minutes walk to the Opera House, the Metropole and the Hilton Hanoi Opera and in close proximity to The Ministry of Finance, The Hanoi People's Committee, The State Bank of Vietnam and numerous other commercial properties and foreign banks. Ly Thai To Street is a prominent street which is well known in Hanoi and provides easy of access for any visitors. Key office developments in the vicinity include BIDV Tower, 63 Ly Thai To and the Opera Business Centre and there is high-end shopping malls in the immediate locality.

Toong IPH

3rd Floor, Indochina Plaza, 241 Xuan Thuy street, Cau Giay district, Ha Noi, Vietnam

Located on the 3rd floor of Indochina Plaza, Hanoi, Toong coworking space is one of the key tenants in the whole service complex. We help complete and elevate an ecosystem of living - working - socializing - trading - and relaxing hubs for local entrepreneurs and knowledge workers.

UPGEN KEANGNAM

Level 43, Keangnam Hanoi Landmark Tower, Pham Hung Street, Nam Tu Liem District, Ha Noi, Viet Nam

Inside the tallest building in Hanoi and second tallest in Vietnam, the 72-floor skyscraper Keangnam Hanoi Landmark Tower (Landmark72) is home to one of UPGen’s most impressive spaces. This Grade-A building boasts an incredible view of the city unlike anywhere else in Hanoi. UPGen Keangnam is conveniently located just five minutes’ walk from the metro line.

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Oracle: Programming with PL/SQL II

21 Hours

Oracle: Programming with PL/SQL I

28 Hours

Oracle Database 19c PL and Advanced SQL

28 Hours

Scaling and Optimizing Prometheus and Grafana for Large Environments

14 Hours

Custom Metrics and Instrumentation with Prometheus and Grafana

14 Hours

Monitoring Kubernetes with Prometheus and Grafana

14 Hours

Advanced Alerting and Automation with Grafana and Prometheus

14 Hours

Integrating Grafana and Prometheus with Cloud Services

14 Hours

Building Effective Dashboards with Grafana and Prometheus

14 Hours

Monitoring with Grafana and Prometheus

14 Hours

Milvus: Open-Source Vector Database for AI Applications

21 Hours

Introduction to Grafana and Prometheus

14 Hours

Pinecone: Vector Database Solutions for AI

21 Hours

Spine-Leaf Architecture with VXLAN in Database Management

14 Hours

Oracle SQL for Developers

35 Hours

Mastering Vector Databases for Scalable AI Solutions

14 Hours

Mastering Oracle APEX 23-24: Workflows and Security

21 Hours

Database Design and Programming with SQL

21 Hours

Oracle SQL for Administrators

21 Hours

PL/SQL in Oracle 19c

21 Hours

Cost Analysis with Presto COST IT Module

14 Hours

Introduction to SQL Server 2022 Integration Services (SSIS)

28 Hours

Introduction to Vector Databases

14 Hours

Oracle SQL for beginners

21 Hours

ORACLE SQL Fundamentals

14 Hours

ORACLE PL/SQL Fundamentals

21 Hours

Oracle SQL Intermediate

14 Hours

Oracle SQL Advanced

14 Hours

Monitoring Kubernetes with Prometheus

7 Hours

Oracle SQL for Development and Database Management

35 Hours

Oracle SQL Intermediate - Data Extraction

14 Hours

Migrating Oracle to Azure SQL or PostgreSQL

7 Hours

Introduction to SQL Server 2012 Integration Services (SSIS)

28 Hours

ClickHouse Fundamentals

14 Hours

NoSQL Database with Microsoft Azure Cosmos DB

14 Hours

Data Management

35 Hours

Change Data Capture (CDC) with Debezium

14 Hours

Hasura GraphQL Engine

14 Hours

Distributed Data Processing and Storage with Hazelcast

14 Hours

Mastering LINQ with C#

14 Hours

MarkLogic Server

14 Hours

MongoDB Atlas Fundamentals

14 Hours

Beyond the Relational Database: Neo4j

21 Hours

Building Graph Databases with Neo4j AuraDB

14 Hours

Developing Applications with Oracle Application Express (APEX)

21 Hours

Administration with Powershell

35 Hours

Prometheus Fundamentals

14 Hours

SAP ASE for Database Administrators

28 Hours

SQLite Fundamentals

14 Hours

Business Intelligence with SSAS

14 Hours

Oracle SQL Language

14 Hours

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