Best AI tools for< Analyze Data In Bigquery >

Avian is a generative BI platform that uses AI to help businesses uncover insights, create reports, and take transformative action. It is used by professionals at companies such as Google, Salesforce, and Boeing. Avian's AI agents are trained on large language models and can analyze data from a variety of sources, including spreadsheets, Shopify, LinkedIn Ads, BigQuery, Google Analytics 4, Google Ads, Google Search Console, Facebook Ads, and Facebook Insights. Avian is committed to protecting user privacy and operates with secure, SOC/2 approved Open Source Foundation language models on Microsoft Azure.

Vizly is an AI-powered data analysis tool that empowers users to make the most of their data. It allows users to chat with their data, visualize insights, and perform complex analysis. Vizly supports various file formats like CSV, Excel, and JSON, making it versatile for different data sources. The tool is free to use for up to 10 messages per month and offers a student discount of 50%. Vizly is suitable for individuals, students, academics, and organizations looking to gain actionable insights from their data.

Roboto AI is an advanced platform that allows users to curate, transform, and analyze robotics data at scale. It provides features for data management, actions, events, search capabilities, and SDK integration. The application helps users understand complex machine data through multimodal queries and custom actions, enabling efficient data processing and collaboration within teams.

Graphy is a data visualization and reporting tool that helps marketers create beautiful, interactive reports in minutes. It is powered by AI to increase productivity and make data more accessible and understandable. With Graphy, you can unify your data from all your tools into a single, shareable view. You can also explore data in the tools you've already mastered, then save it in Graphy to tell your data story with AI Insights, comments, annotations, goals, trend lines, and even emojis.

Coginiti is a collaborative analytics platform and tools designed for SQL developers, data scientists, engineers, and analysts. It offers capabilities such as AI assistant, data mesh, database & object store support, powerful query & analysis, and share & reuse curated assets. Coginiti empowers teams and organizations to manage collaborative practices, data efficiency, and deliver trusted data products faster. The platform integrates modular analytic development, collaborative versioned teamwork, and a data quality framework to enhance productivity and ensure data reliability. Coginiti also provides an AI-enabled virtual analytics advisor to boost team efficiency and empower data heroes.

HEAVY.AI is a cutting-edge analytics and location intelligence platform that empowers users to make time-sensitive, high-impact decisions over vast datasets. The platform offers Conversational Analytics, enabling users to ask questions about their data in natural language and view actionable visualizations instantly. With HeavyEco, the platform also supports emergency response efforts by streamlining the management of weather events. HEAVY.AI combines interactive visual analytics, hardware-accelerated SQL, and advanced analytics & data science framework to uncover hidden opportunities and risks within enterprise datasets.

SingleStore is a real-time data platform designed for apps, analytics, and gen AI. It offers faster hybrid vector + full-text search, fast-scaling integrations, and a free tier. SingleStore can read, write, and reason on petabyte-scale data in milliseconds. It supports streaming ingestion, high concurrency, first-class vector support, record lookups, and more.

Hansei is an AI-powered platform that allows users to chat with their data using AI assistants, create AI ChatBots without coding, and streamline data importing from various sources. It offers customizable and shareable chat widgets, bot customization and integrations, and advanced analytics insights. Hansei is designed to revolutionize the way users interact with their data by providing instant answers to questions and personalized assistance across multiple channels.

ChartAI is an AI-powered tool that helps you create beautiful charts and graphs from your data in seconds. With ChartAI, you can easily create bar charts, line charts, pie charts, and more. You can also customize your charts with different colors, fonts, and styles. ChartAI is the perfect tool for anyone who wants to create professional-looking charts and graphs quickly and easily.

Nexa is an autonomous AI tool designed for Sales and Marketing teams. It uses AI agents to unify data from various tools, generating valuable insights to enhance sales performance and optimize marketing spend. The platform is built for high-growth startups post Series A funding, offering seamless data integration and instant access to revenue-driving insights. Nexa aims to streamline data analysis processes and boost productivity by providing a user-friendly interface and customizable features.

Analytics India Magazine is a leading publication covering the latest advancements in artificial intelligence, data science, and machine learning. The website provides in-depth analysis, interviews with industry experts, and insights into the impact of AI on various sectors. It also hosts events and conferences that bring together professionals and thought leaders in the field.

Jeda.ai is a generative AI workspace that allows users to create, visualize, and analyze data in a collaborative environment. It offers a variety of features, including AI template analysis, AI mind map diagrams, AI flowchart diagrams, AI wireframe, AI text writer, AI sticky notes, AI art, AI vision and transform, AI data analysis, AI document analysis, and AI business cases. Jeda.ai is designed to help users improve their productivity and make better decisions.

GPT-4o is a state-of-the-art AI model developed by OpenAI, capable of processing and generating text, audio, and image outputs. It offers enhanced emotion recognition, real-time interaction, multimodal capabilities, improved accessibility, and advanced language capabilities. GPT-4o provides cost-effective and efficient AI solutions with superior vision and audio understanding. It aims to revolutionize human-computer interaction and empower users worldwide with cutting-edge AI technology.

Genius Sheets is a self-service data reporting tool that allows users to connect to data in Excel and Google Sheets and generate reports without the need for SQL or Python. It is designed to be easy to use and provides enterprise-grade security. Genius Sheets is trusted by over 100 companies and has been featured in publications such as Forbes and TechCrunch.

RTutor is an AI-powered tool developed by Orditus LLC that allows users to analyze and interpret data using natural language. It leverages OpenAI's large language models to translate user queries into R or Python code, which is then executed to provide analysis results. Users can upload data in various formats, ask questions, and receive results in seconds. RTutor offers a comprehensive Exploratory Data Analysis (EDA) report, supports data cleaning and preparation, and provides code chunks for analysis. It is designed for users to interact with data in their own languages, making data analysis accessible and efficient.

GPT Workspace is an AI-powered tool designed to enhance productivity and streamline tasks within Google Workspace applications such as Gmail, Google Docs, Google Slides, Google Sheets, and Google Drive. It leverages GPT-4o and Gemini technology to provide users with advanced features like transforming data in seconds, building stunning presentations, perfecting content writing, and generating personalized emails at warp speed. With a user-friendly interface and seamless integration with Google Workspace tools, GPT Workspace is trusted by over 7 million users worldwide for its efficiency and privacy-focused approach.

ChatSpot is a free AI-powered assistant that combines the power of ChatGPT with unique data sources, including the HubSpot CRM, to help supercharge your work. With ChatSpot, you can research smarter with prompt templates and unique data sources, generate personalized responses designed for you to take action, connect with your business by integrating your HubSpot CRM and talking to your data in real time, and accelerate sales prospecting by quickly identifying key opportunities for outreach. ChatSpot also offers integrated content generation, deep insights into company data, SEO expertise, and better HubSpot CRM integration with command line, summaries, analyst, and optimizer features.

Reprompt is a prompt testing tool designed to help developers save time and make data-driven decisions about their prompts. It allows users to analyze more data in less time, easily identify anomalies, and speed up debugging by testing multiple scenarios at once. With Reprompt, users can have confidence in their changes by comparing with previous versions. The tool also offers real-time trading, < 1 sec operations, no commissions, built-in enterprise encryption and security, 256-bit AES encryption, and advanced security standards.

DataChat is a no-code, AI analytics platform that enables business users to ask questions of their data in plain English, empowering them to gain insights quickly and efficiently. The platform allows users to refine questions, reshape data, and adjust insights without any coding required. DataChat ensures transparency in the workflow and maintains data security by performing all computations within the user's data warehouse. With DataChat, users can easily access real-time insights and make data-driven decisions to enhance their business operations.

Looppanel is an AI-powered research assistant that revolutionizes the way research data is managed. It automatically records calls, transcribes them, and centralizes all research data in one place. Looppanel's highly accurate transcripts support multiple languages and accents, enabling users to focus on interviews while AI takes notes. The platform simplifies analysis, allows for time-stamped note-taking, and facilitates collaboration among team members. Looppanel ensures data security and compliance with high standards, making it a valuable tool for researchers and professionals.

The Looker GenAI Extension provides code examples and resources for building a Looker Extension that integrates with Vertex AI Large Language Models (LLMs). Users can leverage the power of LLMs to enhance data exploration and analysis within Looker. The extension offers generative explore functionality to ask natural language questions about data and generative insights on dashboards to analyze data by asking questions. It leverages components like BQML Remote Models, BQML Remote UDF with Vertex AI, and Custom Fine Tune Model for different integration options. Deployment involves setting up infrastructure with Terraform and deploying the Looker Extension by creating a Looker project, copying extension files, configuring BigQuery connection, connecting to Git, and testing the extension. Users can save example prompts and configure user settings for the extension. Development of the Looker Extension environment includes installing dependencies, starting the development server, and building for production.

Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

The vscode-dbt-power-user is an open-source extension that enhances the functionality of Visual Studio Code to seamlessly work with dbt™. It provides features such as auto-complete for dbt™ code, previewing query results, column lineage visualization, generating dbt™ models, documentation generation, deferring model builds, running parent/child models and tests with a click, compiled query preview and explanation, project health check, SQL validation, BigQuery cost estimation, and other features like dbt™ logs viewer. The extension is fully compatible with dev containers, code spaces, and remote extensions, supporting dbt™ versions above 1.0.

This repository codifies the Airflow cluster that is deployed at workflow.telemetry.mozilla.org (behind SSO) and commonly referred to as "WTMO" or simply "Airflow". Some links relevant to users and developers of WTMO: * The `dags` directory in this repository contains some custom DAG definitions * Many of the DAGs registered with WTMO don't live in this repository, but are instead generated from ETL task definitions in bigquery-etl * The Data SRE team maintains a WTMO Developer Guide (behind SSO)

Lance is a modern columnar data format optimized for ML workflows and datasets. It offers high-performance random access, vector search, zero-copy automatic versioning, and ecosystem integrations with Apache Arrow, Pandas, Polars, and DuckDB. Lance is designed to address the challenges of the ML development cycle, providing a unified data format for collection, exploration, analytics, feature engineering, training, evaluation, deployment, and monitoring. It aims to reduce data silos and streamline the ML development process.

Cube is a semantic layer for building data applications, helping data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. It works with SQL-enabled data sources, providing sub-second latency and high concurrency for API requests. Cube addresses SQL code organization, performance, and access control issues in data applications, enabling efficient data modeling, access control, and performance optimizations for various tools like embedded analytics, dashboarding, reporting, and data notebooks.

Ryoma is an AI Powered Data Agent framework that offers a comprehensive solution for data analysis, engineering, and visualization. It leverages cutting-edge technologies like Langchain, Reflex, Apache Arrow, Jupyter Ai Magics, Amundsen, Ibis, and Feast to provide seamless integration of language models, build interactive web applications, handle in-memory data efficiently, work with AI models, and manage machine learning features in production. Ryoma also supports various data sources like Snowflake, Sqlite, BigQuery, Postgres, MySQL, and different engines like Apache Spark and Apache Flink. The tool enables users to connect to databases, run SQL queries, and interact with data and AI models through a user-friendly UI called Ryoma Lab.

The Google Cloud Document AI Samples repository contains code samples and Community Samples demonstrating how to analyze, classify, and search documents using Google Cloud Document AI. It includes various projects showcasing different functionalities such as integrating with Google Drive, processing documents using Python, content moderation with Dialogflow CX, fraud detection, language extraction, paper summarization, tax processing pipeline, and more. The repository also provides access to test document files stored in a publicly-accessible Google Cloud Storage Bucket. Additionally, there are codelabs available for optical character recognition (OCR), form parsing, specialized processors, and managing Document AI processors. Community samples, like the PDF Annotator Sample, are also included. Contributions are welcome, and users can seek help or report issues through the repository's issues page. Please note that this repository is not an officially supported Google product and is intended for demonstrative purposes only.

The Data Scientist Roadmap2024 provides a comprehensive guide to mastering essential tools for data science success. It includes programming languages, machine learning libraries, cloud platforms, and concepts categorized by difficulty. The roadmap covers a wide range of topics from programming languages to machine learning techniques, data visualization tools, and DevOps/MLOps tools. It also includes web development frameworks and specific concepts like supervised and unsupervised learning, NLP, deep learning, reinforcement learning, and statistics. Additionally, it delves into DevOps tools like Airflow and MLFlow, data visualization tools like Tableau and Matplotlib, and other topics such as ETL processes, optimization algorithms, and financial modeling.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

A curated list of awesome Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list focuses on production-ready and experimental servers extending AI capabilities through file access, database connections, API integrations, and other contextual services.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

AgentCloud is an open-source platform that enables companies to build and deploy private LLM chat apps, empowering teams to securely interact with their data. It comprises three main components: Agent Backend, Webapp, and Vector Proxy. To run this project locally, clone the repository, install Docker, and start the services. The project is licensed under the GNU Affero General Public License, version 3 only. Contributions and feedback are welcome from the community.

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

Awesome AI-Powered Developer Tools is a curated list of AI-powered developer tools that leverage AI to assist developers in tasks such as code completion, refactoring, debugging, documentation, and more. The repository includes a wide range of tools, from IDEs and Git clients to assistants, agents, app generators, UI generators, snippet generators, documentation tools, code generation tools, agent platforms, OpenAI plugins, search tools, and testing tools. These tools are designed to enhance developer productivity and streamline various development tasks by integrating AI capabilities.

The Google Cloud Vertex AI sample repository contains notebooks and community content that demonstrate how to develop and manage ML workflows using Google Cloud Vertex AI.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

Expert in Google Analytics 4, GTM, BigQuery, and Looker Studio

Delivers business data in detailed tables.

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R coding expert minimizing errors in R programming

安達孝一さんがSE時代に蓄積してきた、Oracle RDBMSのナレッジやノウハウ等 (Oracle 7/8.1.6/8.1.7/9iR1/9iR2/10gR1/10gR2/11gR2/12c/SQLチューニング) について、ご質問頂けます。また、対話内容を基に、ChatGPT(GPT-4)向けの、汎用的な質問文例も作成できます。

I analyze and integrate missing clusters in data for coherent structuring.

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