\n to get your website’s search performance data into BigQuery to increase storage, analysis, and reporting
\n capabilities. For example, after exporting the data, you can perform query and URL clustering, run
\n analyses on long-tail search queries, and join search with other sources of data. You can also choose
\n to retain the data for as long as you need it.\n<\/p>\n
\nWhen using Bulk data exports, it’s important to make informed decisions when managing the data processing \nIf you haven’t set up a bulk data export yet, check the step-by-step guide<\/a> \nWhen considering your costs, it might help to think through how much you’d be willing to spend. The answer \nOnce you have a budget amount in mind, you can create a Google Cloud budget alert<\/a> \n \nFor added protection, you can also restrict the number of bytes billed<\/a> \nBigQuery is fast, and it is tempting to link your dashboard directly to the Search Console exported tables. \nTo avoid these costs, consider pre-aggregating the data from every daily drop and materializing one or \nCheck the scheduling queries<\/a> \nWhen you start a bulk data export, by default, data is kept forever in your BigQuery dataset. However,
\n and storage costs. There are no costs associated with Search Console to export the data; however, do read
\n the BigQuery pricing<\/a> to
\n understand what you will be billed for. In this post, we’ll discuss tips to help you take advantage
\n of the new data without incurring significant cost.<\/strong>\n<\/p>\n
\n in the Search Console help center. For an overview of the data available through the export, check the
\n video embedded here.\n<\/p>\nCreate billing alerts and restrictions<\/h2>\n
\n to that question is likely to be different between storage, analysis, and monitoring. For example, you
\n might be willing to pay a certain amount to make sure you’re storing all your data, but less to create
\n a reporting platform. While thinking through that, you might want to set a monthly budget to invest in
\n Search data.\n<\/p>\n
\n to avoid surprises on your bill. You can also set threshold rules that trigger email notifications when
\n you’re advancing towards your budget amount.\n<\/p>\n![\"Screenshot](\"https:\/\/alienroad.com\/wp-content\/uploads\/kb-gorsel\/g-f06cf92590c9.png\")
\n<\/p>\n
\n for a query. If you do that, the number of bytes that the query will read is estimated before the query
\n execution. If the number of estimated bytes is beyond the limit, then the query fails without incurring
\n a charge.\n<\/p>\nDon’t build dashboards directly on raw data<\/h2>\n
\n But for large sites, this dataset is very large (especially with over-time queries). If you build a
\n dashboard that recomputes summary information on every view and share that within your company, this
\n will quickly run up large query costs.\n<\/p>\n
\n more summary tables. Your dashboard can then query a much smaller time series table, decreasing processing
\n costs.\n<\/p>\n
\nfunctionality in BigQuery, or consider BI Engine<\/a>
\nif you’d like a more automated solution.\n<\/p>\nOptimize data storage costs<\/h2>\n
\n you can update the default partition expiration times<\/a>
\n so that date partitions are automatically deleted after a year, or 16 months, or any duration you desire.\n<\/p>\n