Graph DBs developer

A Graph DBs developer designs, implements, and maintains graph databases, a type of NoSQL database that uses graph theory to store, map, and query relationships. They utilize graph structures for semantic queries with nodes, edges, and properties to represent and store data. Their work involves data modeling, performance tuning, and developing APIs for data interaction. They use graph-oriented programming and query languages like Cypher or Gremlin. They ensure data consistency, security, and availability. They also work closely with data scientists and analysts to optimize data retrieval and deliver insights. They may also handle data migration and integration tasks.

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Graph DBs developer

A Graph DBs developer can manipulate complex and connected data in ways traditional databases can't. They can create systems that provide insightful relationships and patterns crucial for data-driven decision making. This is particularly useful in social networking, recommendation engines, fraud detection, real-time analytics, and managing hierarchies. Hiring a Graph DBs developer can help you harness the power of graph databases, leading to more effective data analysis and improved business intelligence.

Timothy Sharakh

IT/Programming

Graph DBs,

Node.js,

AWS

Bahtiyor Alikhodjaev

IT/Programming

Graph DBs,

IT Management,

Network technologies,

Windows,

Linux,

unix,

Bash,

CVS,

Git,

HTML,

XML,

CSS,

VBScript,

JavaScript,

jQuery,

J2EE,

SQL Server,

SQL,

Azure,

Oracle

Taras Tanasov

IT/Programming

Graph DBs,

Business Intelligence,

Oracle,

SQL,

unix,

Business Analysis,

PL/SQL,

Business Process Modeling,

Requirements Analysis,

ERP,

SAP,

Data Modeling,

CRM,

ITIL,

Quality Control,

SDLC,

SOA

Sergey Priporov

IT/Programming

Graph DBs,

Program Management,

C++,

Java,

Assembler,

unix,

Linux,

SQL,

Android,

Qnx,

Symbian,

SIP,

VOIP Software,

Ethernet 802.1Q,

Jama,

Jira,

Git,

GitHub,

Gerrit

Mikalai Biadrytski

IT/Programming

Graph DBs,

QA,

Automation Testing

Jamshid Tursunov

IT/Programming

Graph DBs,

DevOps,

Automation,

Team Lead,

Redis,

Ansible,

Oracle,

Terraform,

AWS,

MySQL,

PostgreSQL,

MongoDB

Timothy Sharakh

IT/Programming

Graph DBs,

Node.js,

AWS

Bahtiyor Alikhodjaev

IT/Programming

Graph DBs,

IT Management,

Network technologies,

Windows,

Linux,

unix,

Bash,

CVS,

Git,

HTML,

XML,

CSS,

VBScript,

JavaScript,

jQuery,

J2EE,

SQL Server,

SQL,

Azure,

Oracle

Taras Tanasov

IT/Programming

Graph DBs,

Business Intelligence,

Oracle,

SQL,

unix,

Business Analysis,

PL/SQL,

Business Process Modeling,

Requirements Analysis,

ERP,

SAP,

Data Modeling,

CRM,

ITIL,

Quality Control,

SDLC,

SOA

Sergey Priporov

IT/Programming

Graph DBs,

Program Management,

C++,

Java,

Assembler,

unix,

Linux,

SQL,

Android,

Qnx,

Symbian,

SIP,

VOIP Software,

Ethernet 802.1Q,

Jama,

Jira,

Git,

GitHub,

Gerrit

Mikalai Biadrytski

IT/Programming

Graph DBs,

QA,

Automation Testing

Jamshid Tursunov

IT/Programming

Graph DBs,

DevOps,

Automation,

Team Lead,

Redis,

Ansible,

Oracle,

Terraform,

AWS,

MySQL,

PostgreSQL,

MongoDB

Timothy Sharakh

IT/Programming

Graph DBs,

Node.js,

AWS

Bahtiyor Alikhodjaev

IT/Programming

Graph DBs,

IT Management,

Network technologies,

Windows,

Linux,

unix,

Bash,

CVS,

Git,

HTML,

XML,

CSS,

VBScript,

JavaScript,

jQuery,

J2EE,

SQL Server,

SQL,

Azure,

Oracle

Taras Tanasov

IT/Programming

Graph DBs,

Business Intelligence,

Oracle,

SQL,

unix,

Business Analysis,

PL/SQL,

Business Process Modeling,

Requirements Analysis,

ERP,

SAP,

Data Modeling,

CRM,

ITIL,

Quality Control,

SDLC,

SOA

Sergey Priporov

IT/Programming

Graph DBs,

Program Management,

C++,

Java,

Assembler,

unix,

Linux,

SQL,

Android,

Qnx,

Symbian,

SIP,

VOIP Software,

Ethernet 802.1Q,

Jama,

Jira,

Git,

GitHub,

Gerrit

Mikalai Biadrytski

IT/Programming

Graph DBs,

QA,

Automation Testing

Hiring a Graph DBs developer brings numerous advantages to your organization. Firstly, they can help you leverage the power of graph databases to manage and analyze complex relationships and networks. This is particularly useful in areas like social networking, recommendation systems, and fraud detection.

Graph DB developers can optimize data retrieval, as graph databases are designed for high-performance querying of connected data. This can significantly enhance the speed and efficiency of data handling processes.

These developers also facilitate better data modeling. Unlike relational databases, graph databases allow for more natural data representation, reducing the complexity of data management.

Moreover, a Graph DBs developer can help in achieving scalability. Graph databases can scale more naturally to large datasets as they do not require expensive join operations.

Finally, with a Graph DBs developer, you can benefit from real-time insights. Since graph databases traverse connected data points efficiently, they can provide real-time recommendations and fraud detection.

In summary, a Graph DBs developer can help you unlock the full potential of your data, making your systems more efficient, scalable, and insightful.

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