LinkedIn is a business and employment-oriented social network that allows users to build profiles, connect with others, and share relevant information. One of the biggest social networks, it is primarily used for professional networking, online recruiting, and to seek employment.
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Popular Use Cases
Bring all your LinkedIn data to Amazon Redshift
Load your LinkedIn data to Google BigQuery
ETL all your LinkedIn data to Snowflake
Move your LinkedIn data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
LinkedIn's End Points
Get a detailed overview of organizations and search across organization profiles by industry, location, size, and more. This can help you understand your demographics and send targeted, accurate communications.
With this API, you can use LinkedIn to quickly sign in to other applications, with access to your name, photo, headline, and email address. Also easily connect to 1st degree connections and discover 2nd degree connections, thereby maintaining your networks and keeping your contacts across platforms.
Retrieve recommended jobs, search through LinkedIn jobs, and enable people to save jobs on their account.
Manage and promote your ads on LinkedIn, thereby raising brand awareness, building relationships, and driving quality leads.
LinkedIn Share and Social Stream
Share your content and insights through your professional network, distributing it via the network update stream. This stream has all of the content and changes happening in your 1st and 2nd degree networks, offering a place where you can widely distribute information and expand your influence.
Mode's End Points
Mode White-Label Embeds and Visualizations
Mode SQL Editor
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
Mode Helix Data Engine
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Mode Dashboard Features
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode Native Python and R Notebooks
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.