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10 things you [probably] didn’t know you could do with Mixpanel

Mixpanel

They’re how I check on which blog articles the world finds interesting. We use BigQuery at Mixpanel to calculate certain advanced business trends that span systems of record. Are you ready to the next episode? To that end, an additional inspiration for this post was the popularity of last year’s article, 2018 Product Highlights.

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How to Build Your Dream Analytics Stack

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A cloud-based solution, data flows through Tealium, so like Segment and mParticle, it’s best suited for companies without strict privacy needs. Since it’s open-source, it provides more data privacy than cloud-based solutions, while offering a lower-cost alternative to popular options like Segment. ETL vs. ELT.

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10 things you [probably] didn’t know you could do with Mixpanel

Mixpanel

They’re how I check on which blog articles the world finds interesting. We use BigQuery at Mixpanel to calculate certain advanced business trends that span systems of record. Are you ready to the next episode? To that end, an additional inspiration for this post was the popularity of last year’s article, 2018 Product Highlights.

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Gaming Analytics: How to Leverage Your Customer Data for Sustained Business Growth

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Here are several use cases, according to the Data Science blog KDNuggets , for predictive analytics in gaming: Game development – identify optimization points for product and marketing teams to make optimizations. Examples of data warehouses include Google BigQuery , Amazon Redshift , and Snowflake.

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Data Lake vs. Data Warehouse: What’s the Difference?

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Tools like Snowflake, Google BigQuery, and Amazon Redshift are all data warehouses, for example. AWS S3, Google Cloud Storage, Microsoft Azure Datalake, Databricks Deltalake are examples of data lakes. Here are a few of the major data warehouse players: Google BigQuery. Google Cloud Storage.