It takes less than 20 minutes to query Snowflake Data Warehouse in Natural Language using OpenAI and LangChain. Folks who love data but are not into SQL querying will start using this in the near future. Credit: https://lnkd.in/eYepEZJF
Analyze.Agency
IT-tjänster och IT-konsulttjänster
Gothenburg, Västra Götaland County 338 följare
We provide Ad Analytics, Data Engineering, Migration, Visualization, Transformation, and Product Analytics services.
Om oss
We help clients with Data Engineering, Ad Analytics, Product Analytics, Data Visualization, and Consulting Services. Ad Analytics Scenario: - A company has ads on one or multiple platforms like Google, LinkedIn etc. including offline marketing. - We will see to that we can accurately measure - Customer Acquisition Cost [1:1 matching – no generic aggregation] - Cost per Lead [1:1 matching – no generic aggregation] - Traffic to site [unique visits & over all visits] - Which channels / Sources bring better ROI - Measuring churn broken by popular cohorts - Engagement on platform by Ad source - Multi- touch attribution Tools Used - To get this done in the past we have used the following tools - Segment / Rudderstack/ mparticle as CDPs - Fivetran / Hevodata as Data migrating tools - Snowflake / Big Query / Redshift as Data Warehouses - Mode Analytics / Power BI / as Business Intelligence tools --- Data Engineering: - We move millions of user profiles with billions of data points from all three popular cloud providers [Aws, Azure, GCP] - We are also a parter with AWS - Our languages of choice for data transformation and data movement is Python & SQL. --- Product Aalytics: - We have deployed Amplitude, Mixpanel more than 10 times for various startups backed by Y Combinator and Mid-Tier companies. - We are also a Mixpanel Partner - We build complex dashboards using these tools; and derive product insights out of them --- Data Visualization - Our go-to data visualization tools are Tableau, Power BI, Domo, Looker, Mode Analytics - We have powered charts using Snowflake, Redshift, Big Query and many other data warehouses
- Webbplats
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http://analyze.agency/
Extern länk för Analyze.Agency
- Bransch
- IT-tjänster och IT-konsulttjänster
- Företagsstorlek
- 2–10 anställda
- Huvudkontor
- Gothenburg, Västra Götaland County
- Typ
- Privatägt företag
- Grundat
- 2022
- Specialistområden
- Data Analysis, Ad Analytics, Product Analytics, Data Engineering, Data Migration och Data Warehousing
Adresser
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Primär
Få vägbeskrivning
Ebbe Lieberathsgatan
Gothenburg, Västra Götaland County 412 65, SE
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Få vägbeskrivning
30 N Gould St
Ste R
Sheridan, Wyoming 82801, US
Anställda på Analyze.Agency
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Rubi Guzman Marchant
Financial Controller at Chucaotec
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Subhadra Bhupathiraju
Data Scientist | Business Analyst | Event Organizer | Blogger
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Jemilin Beulah
UX Designer
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Christopher Daniel
CEO at Analyze Agency. Helping Clients with Data Engineering, Ad Analytics, Product Analytics, Data Visualization, and Consulting Services. Reach me…
Uppdateringar
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We are looking to hire a data engineer who has experience in deploying Airbyte within our app using the powered by Airbyte mechanism [https://lnkd.in/gD89aS8X]. Should have very strong Python and Docker skills. Experience in GCP cloud is highly desirable. For further information please reach us at [email protected].
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We are Hiring a Sales Development Representative. The SDR should help us with Start Outreach Get in touch with prospects Set Appointments Close Deals We provide Ad Analytics Product Analytics Data Engineering Data Migration Data Visualization We want the Sales Development Representative to get one client for the above mentioned services. We are ready to pay $250 for this contract [for getting one client]. For questions reach me at [email protected]
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Snowflake's CTEs [Common Table Expression] perform sophisticated calculations requiring several levels of aggregation seamlessly. CTEs increase readability and do not store any data. Plug & play and see if you can build your own CTE. If you have any questions reach out to me at [email protected]
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Are you a Data Engineering / Data Warehouse Blog Writer? If yes, please share your previous work with [email protected]. We can pay you $250 per blog.
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Snowflake's in-built REGEX_SUBSTR [Regular expression] is a potent tool for text processing and pattern matching due to its flexibility and capability to handle intricate searches and transformations. This video explains how to use REGEX_SUBSTR to extract email from text.
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Mastering Snowflake's Joins A Comprehensive Guide for Data Analysts
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In order to smooth fluctuations in data; the Average Over Window function can be used. Snowflake makes it easy to calculate moving averages in runtime while grouping them, ordering them, filtering them, etc. This video starts with a spreadsheet and moves on to the Snowflake workspace. If you have any questions please reach me at [email protected]
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How to Connect to Snowflake via Python [blog version] can be found below. Plug & play and see if you can successfully establish a connection. If you have any questions reach me at [email protected]
The Blog version of connecting Python to Snowflake.
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The Blog version of connecting Python to Snowflake.
How To Connect To Snowflake via Python.
Analyze.Agency på LinkedIn