Looker VS Launch

• Powerful Data Modeling
  Looker uses LookML, a proprietary modeling language, making it possible to transform raw data into meaningful metrics and dimensions, providing deep insights without needing SQL expertise.
• Ease of Use
  Its intuitive user interface enables non-technical users to create visualizations and reports with relative ease, reducing the workload on data teams.
• Customization
  Looker offers extensive customization options for data exploration and visualization, allowing dashboards and reports to be tailored to specific user needs.
• Embedded Analytics
  Provides robust capabilities for embedding analytics into applications or portals, broadening the scope of data-driven decision-making throughout the organization.
• Real-time Data
  Supports real-time data analytics by querying live data, which ensures up-to-date insights and helps in making timely decisions.
• Integrations
  Looker integrates seamlessly with a wide range of databases and cloud data warehouses, including Google BigQuery, Amazon Redshift, and Snowflake.

Possible disadvantages

• Learning Curve
  LookML, while powerful, can be complex for beginners who are not already familiar with data modeling or SQL, resulting in a steep learning curve.
• Cost
  Looker can be expensive, especially for small businesses, as pricing is typically based on the number of users and the data volume processed.
• Performance
  Query performance can sometimes be slow, especially with complex data models and large data sets, which may impact the user experience.
• Customization Constraints
  While Looker offers great customization, certain advanced customizations may require significant expertise and time, posing a potential barrier.
• Limited Offline Capabilities
  Looker is primarily designed for online use, so it lacks robust offline capabilities, which can be a limitation for users who need access to data in situations without internet connectivity.

• Comprehensive Coverage
  The ebook offers a thorough guide on product launches, providing readers with step-by-step instructions and insights, which can be particularly beneficial for beginners.
• Expert Insights
  It includes insights from industry experts, which can help readers understand the nuances and best practices from experienced professionals.
• Actionable Strategies
  The ebook outlines practical strategies and tactics that can be directly applied, helping product managers to execute effective product launches.
• Real-world Examples
  Featuring case studies and real-world examples makes the content more relatable and easier to understand and apply.
• Free Resource
  Being a free resource makes it easily accessible to a wide audience without any financial barrier.

Possible disadvantages

• Generic Content
  Some readers may find the content too generic and not tailored enough to specific industries or product types.
• Depth of Content
  While comprehensive, some topics may not be covered in-depth enough for advanced professionals looking for more detailed information.
• Format Limitation
  As an ebook, it might not cater to individuals who prefer more dynamic forms of learning, such as interactive courses or videos.
• Marketing Bias
  There could be a potential bias since it's produced by Product School, possibly leading readers to favor their methodologies or approaches.
• Up-to-date Information
  The rapidly changing nature of the tech and product management fields might render some information outdated quickly.

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• edit home page to add folder section

  Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the... Source: over 3 years ago

• Stars, tables, and activities: How do we model the real world?

  Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins... - Source: dev.to / almost 4 years ago

• dbt for Data Quality Testing & Alerting at FINN

  We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago

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Tracking Launch since Mar 2021.