Crescendo introduces BigQuery integration!

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What is BigQuery?
BigQuery is a cloud data warehousing and analysis service launched by Google Cloud Platform . It can replace traditional data warehousing and analysis, and even serve as an alternative to customer data platform CDP data integration, processing, analysis, and application .

Enterprises importing BigQuery not only do not need to own and maintain the software and hardware for data warehousing, but also can quickly process PB-scale data. It also has the advantages of low cost and flexible expansion. Therefore, it is a powerful assistant for many medium and large enterprises, including Spotify, AirBnB, The New York Times, HSBC and other international large companies are using it.

What are the top 5 advantages of BigQuery? Which roles in the business can benefit?
There are many reasons why enterprises love to oman whatsapp phone number use BigQuery. We have summarized the five most common reasons: fast computing speed, low cost, large processing scale, low technical threshold, and high expansion flexibility . The benefits brought by BigQuery are very diverse and can bring about cost-effective improvements in the overall operation of the enterprise, and various functional roles in the enterprise can also benefit from it.

1. Fast computing speed | Data analysts, marketers
According to Cloud Ace's actual measurement , there are a total of 100 billion items and 4TB of data. Using fuzzy comparison syntax that consumes a lot of data, as well as complex Group By and Order By syntax, you will find that the calculation processing that used to take about two hours has been shortened to It only takes 23 seconds to complete!

BigQuery can complete real-time or near-real-time analysis for two main reasons: First, BigQuery will distribute the computing work to thousands of servers to process scheduling queries at the same time. Second, BigQuery uses a method that is conducive to fast search to store data. Such fast data processing speed will reduce waiting time, improve flexibility in market response, and also prevent data analysts from falling into the dilemma of "waiting for two hours after placing an order" before discovering the order error.