Redash is an open-source data visualization and dashboarding tool that allows users to connect to various data sources, run queries, and create interactive visualizations and dashboards for data analysis and reporting.

About Redash
Redash was created in 2013 by Arik Fraimovich to address the need for a simple, accessible tool for visualizing and sharing data insights. It gained popularity for its ability to connect to multiple data sources and provide easy-to-use query and visualization capabilities.
Strengths of Redash included its open-source nature, ease of use, and ability to connect to multiple data sources. Weaknesses involved limited advanced features and scalability issues. Competitors included Tableau, Power BI, and Looker.
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How to hire a Redash expert
A Redash expert must have strong SQL skills, experience with data visualization techniques, proficiency in connecting and querying various data sources, and familiarity with JavaScript and Python for customizations and integrations.

Vitor G.
Skills
A postgraduate in Data Science and a Computer Engineering graduate, with substantial experience in the field, having contributed to both national and multinational companies within diverse sectors, including manufacturing, services, and the third sector. Specializes in data extraction, consolidation, processing, and ETL (Extract, Transform, Load), with a strong emphasis on fraud investigations and the identification of discrepancies and anomalies in collected data. Expertise in developing intuitive and insightful dashboards to enhance decision-making processes related to analyzed problems, supporting fraud resolution and compliance. Demonstrates proficiency in planning activities aimed at understanding departmental needs, proposing effective solutions, and developing ETLs on various data platforms while ensuring adherence to process compliance. Possesses strong skills in SQL, Tableau, Python, Power BI, SAP, Alteryx, and Oracle, and is well-versed in ITIL and Agile methodologies. Background includes drafting managerial reports, monitoring performance indicators, and providing strategic decision-making support. A team-oriented professional dedicated to achieving results, cost reduction, and is highly organized, responsible, and adaptable.

Maycon D.
Skills
A finance management graduate with a postgraduate degree in Applied Statistics, currently pursuing an MBA in Data Science and Analytics, possesses over a decade of expertise in data analysis and business intelligence. The career trajectory includes leadership roles that focus on improving operational efficiency through financial analysis of projects and budget development. Proficient in advanced statistical techniques, including multivariate analysis and machine learning methods such as Random Forest, Logistic/Linear Regression, NLP, and PCA. Recognized for significant contributions using analytical tools like Tableau, Power BI, and Python, while holding multiple professional certifications, including Project Management Professional and Lean Six Sigma Black Belt. Demonstrates a strong capacity for utilizing data-driven insights to enhance decision-making processes and foster continuous improvement across various organizational levels.

Leandro S.
Skills
Data Scientist holding a Bachelor's degree in Physics and a degree in Industrial Automation, specializing in SQL databases, Google Cloud Platform, Tableau, Power BI, and primarily Python. Engages in the application of artificial intelligence techniques, statistical analysis, and machine learning to develop and maintain predictive and optimization models for resolving business challenges, from data extraction to production deployment. Possesses extensive experience in dashboard creation and task automation within data and analytics teams.

José E.
Skills
Data Analyst specializing in business intelligence, currently engaged in a degree program in Data Science with a focus on Machine Learning and Deep Learning, aimed at leveraging data for strategic decision-making and business performance enhancement. Key competencies encompass proficiency in English at a B1 level with a comprehensive understanding of technical terminology, as well as extensive experience in utilizing Power BI for creating visually compelling and insightful data presentations. Expertise in Excel includes leveraging advanced features for efficient data analysis and reporting. Proficient in Python along with essential libraries pertinent to data science and machine learning, facilitating the development of customized, advanced analysis solutions. Exhibits strong analytical thinking and problem-solving skills, capable of extracting significant insights from complex datasets. Committed to continuous professional development and staying current with the latest advances in data analysis and machine learning.

Liandra V.
Skills
Specialist in BI/Analytics projects with extensive experience in SQL across various platforms, including SQL Server, PostgreSQL, BigQuery, and MySQL. Proficient in Power BI, utilizing M for data modeling and DAX for advanced function creation. Certified as a Tableau Business Intelligence Analyst, with expertise in Tableau Desktop and Looker Data Studio. Currently focusing on Software Engineering, with a particular interest in data visualization using D3.js.

Welington A.
Skills
Data professional with extensive experience in participating in diverse data projects. Expertise includes Business Intelligence, KPI tracking, dashboard creation, and the development of metrics for monitoring newly developed products. Competencies include managing the entire product lifecycle from initial conception, focusing on data collection and availability, to the creation and visualization of metrics for daily monitoring.

Paulo S.
Skills
Paulo has six years of experience as a Machine Learning Engineer and two as a Backend Developer. His primary tech stack is Python, and he is proficient in machine learning algorithms, data analysis, and visualization.

Hugo A.
Skills
Management of the entire project domain is conducted by utilizing expertise to elevate the performance of teams, including developers, designers, product owners, and support staff. This is achieved through the establishment of effective processes, motivation strategies, and strategic decision-making. Additionally, performance data analysis is conducted to assess the department's efficiency, project progress, and customer satisfaction. Proficiency in multiple languages enables support for international clients.
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