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data insights from all your channels to achieve ultimate business intelligence. ",[558,585,608,631,654,675,700,723,745,766,789,811],{"dateReorder":559,"id":560,"documentId":561,"title":562,"summary":563,"slug":564,"read_time":52,"cover_image":565,"article_category":584},"2023-05-10",2909,"t7cjm54ic9ifhs59hxpgnrmw","7 Practical Benefits of Data Warehousing (+ Use Cases)","\u003Cp>Data warehousing has become a key component in achieving business intelligence (BI) that can point out a certain trend or actionable insight.&nbsp;\u003C/p>\u003Cp>However, maintaining a data warehouse costs money, often including other products, such as data visualization and an easy way to load data. Those are the costs that you may have difficulty justifying to stakeholders, especially if you can’t quantify the benefits upfront.&nbsp;\u003C/p>\u003Cp>But aside from consolidating data for a bigger picture, data warehousing has many other advantages you can apply to your business.&nbsp;\u003C/p>","data-warehousing-benefits",{"id":566,"name":567,"alternativeText":568,"caption":33,"width":569,"height":570,"formats":571,"hash":578,"ext":383,"mime":384,"size":579,"url":580,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":581,"updatedAt":582,"documentId":583,"publishedAt":372,"focalPoint":33},10712,"dtwrhbents.png","Practical Benefits of Data Warehousing (+ Use Cases)",1880,1058,{"thumbnail":572},{"ext":383,"url":573,"hash":574,"mime":384,"name":575,"path":33,"size":76,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_dtwrhbents_c3bc510b76.png","thumbnail_dtwrhbents_c3bc510b76","thumbnail_dtwrhbents.png",245,138,"dtwrhbents_c3bc510b76",62.79,"https://s3.us-east-2.amazonaws.com/whatagraph.com/dtwrhbents_c3bc510b76.png","2023-05-10T19:24:58.758Z","2024-09-30T19:12:14.443Z","lw6m70d5hp675i13m78v6hdg",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":586,"id":587,"documentId":588,"title":589,"summary":590,"slug":591,"read_time":52,"cover_image":592,"article_category":607},"2023-02-24",2259,"gytbdwzbzuz1iipxupfjeox0","What Is Data Mapping in ETL and How Does It Work?","\u003Cp>Successful businesses rely on data to lead them to valuable insights. But for any data analysis to be accurate and timely, you must ensure that the data coming from various sources is migrated and mapped seamlessly with no losses and errors.&nbsp;\u003C/p>\u003Cp>That is the job of data mapping.&nbsp;\u003C/p>","etl-data-mapping",{"id":593,"name":594,"alternativeText":589,"caption":33,"width":569,"height":570,"formats":595,"hash":601,"ext":383,"mime":384,"size":602,"url":603,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":604,"updatedAt":605,"documentId":606,"publishedAt":372,"focalPoint":33},10140,"datamappi.png",{"thumbnail":596},{"ext":383,"url":597,"hash":598,"mime":384,"name":599,"path":33,"size":600,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_datamappi_9537064a9a.png","thumbnail_datamappi_9537064a9a","thumbnail_datamappi.png",10.7,"datamappi_9537064a9a",63.96,"https://s3.us-east-2.amazonaws.com/whatagraph.com/datamappi_9537064a9a.png","2023-02-22T12:18:46.712Z","2024-07-31T09:13:36.677Z","fxlfgpeyzzkwadcl93yf4mu1",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":609,"id":610,"documentId":611,"title":612,"summary":613,"slug":614,"read_time":52,"cover_image":615,"article_category":630},"2023-02-22",2257,"fo6bq564cnfx6x0uhc60mo3d","ETL Data Modeling: What It Is and How It Works","\u003Cp>In the age of big data, businesses can get the upper hand if they learn more about their customers. However, to identify new market opportunities, you need accurate data analysis. And comprehensive data analysis is impossible without understanding the relationship between different bits of data across the system. ETL modeling helps you aggregate data&nbsp;across multiple tools and platforms.\u003C/p>","etl-data-modeling",{"id":616,"name":617,"alternativeText":612,"caption":33,"width":569,"height":570,"formats":618,"hash":624,"ext":383,"mime":384,"size":625,"url":626,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":627,"updatedAt":628,"documentId":629,"publishedAt":372,"focalPoint":33},10139,"datamodeli.png",{"thumbnail":619},{"ext":383,"url":620,"hash":621,"mime":384,"name":622,"path":33,"size":623,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_datamodeli_951f983a5a.png","thumbnail_datamodeli_951f983a5a","thumbnail_datamodeli.png",10.79,"datamodeli_951f983a5a",60.77,"https://s3.us-east-2.amazonaws.com/whatagraph.com/datamodeli_951f983a5a.png","2023-02-22T12:18:46.705Z","2024-02-27T10:12:48.881Z","r06x3p7gk92bfkhmcs1su4h6",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":632,"id":633,"documentId":634,"title":635,"summary":636,"slug":637,"read_time":52,"cover_image":638,"article_category":653},"2023-02-14",2897,"l3j8ij8pc12rdbr80sso1gpl","ETL Data Transformation Process: The Step-By-Step Guide","\u003Cp style=\"text-align:justify;\">In today’s fast-paced information age, businesses can’t afford to make poor decisions based on unreliable data. Aggregating and structuring&nbsp;data coming from different sources has become a much less laborious job thanks to the ETL data transformation process.\u003C/p>\u003Cp style=\"text-align:justify;\">Today, we’ll tell you all you need to know about ETL — what it contains, what types of data transformation exist, and how to choose the right data transformation tool.\u003Cbr>&nbsp;\u003C/p>","etl-data-transformation",{"id":639,"name":640,"alternativeText":635,"caption":33,"width":569,"height":570,"formats":641,"hash":647,"ext":383,"mime":384,"size":648,"url":649,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":650,"updatedAt":651,"documentId":652,"publishedAt":372,"focalPoint":33},9555,"etltrans.png",{"thumbnail":642},{"ext":383,"url":643,"hash":644,"mime":384,"name":645,"path":33,"size":646,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_etltrans_89db0314c0.png","thumbnail_etltrans_89db0314c0","thumbnail_etltrans.png",11.44,"etltrans_89db0314c0",65.89,"https://s3.us-east-2.amazonaws.com/whatagraph.com/etltrans_89db0314c0.png","2023-02-14T11:39:47.220Z","2024-08-01T15:10:04.222Z","nudt00yhrh6ok8g7dehkzkjw",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":632,"id":655,"documentId":656,"title":657,"summary":658,"slug":659,"read_time":52,"cover_image":660,"article_category":674},2902,"qmiwyft8coytemow83uz2pxw","ETL for Data Migration: The Ultimate Guide","\u003Cp>You’d be pressed hard to find an online business that doesn't depend on at least one data platform. So when the time comes to upgrade to a more capable solution, you can’t just delete the data and start from scratch. You need to migrate data into a new environment without any loss.&nbsp;\u003C/p>\u003Cp>That’s when ETL data migration enters the fray.\u003C/p>","etl-data-migration",{"id":661,"name":662,"alternativeText":33,"caption":33,"width":569,"height":570,"formats":663,"hash":669,"ext":383,"mime":384,"size":670,"url":671,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":672,"updatedAt":672,"documentId":673,"publishedAt":372,"focalPoint":33},9582,"etlmigrat.png",{"thumbnail":664},{"ext":383,"url":665,"hash":666,"mime":384,"name":667,"path":33,"size":668,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_etlmigrat_c917583fd1.png","thumbnail_etlmigrat_c917583fd1","thumbnail_etlmigrat.png",10.73,"etlmigrat_c917583fd1",60.71,"https://s3.us-east-2.amazonaws.com/whatagraph.com/etlmigrat_c917583fd1.png","2023-02-14T13:37:12.392Z","mgx44ikl370ep6lqtyz97rct",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":676,"id":677,"documentId":678,"title":679,"summary":680,"slug":681,"read_time":288,"cover_image":682,"article_category":699},"2023-01-27",1803,"hchnu1twhx4qnlnckvdb34na","Top 7 Google BigQuery Data Visualization Tools for Data-Driven Businesses in 2026","\u003Cp>Data visualization and reporting are the core of today’s data-driven enterprises. By implementing data visualization tools, organizations can make big data more accessible to their internal teams, clients, and decision-makers. Serverless data warehouses such as Google BigQuery are an essential component of this system. Luckily, there are plenty of Google BigQuery visualization tools to choose from. Take your pick.\u003C/p>","bigquery-data-visualization",{"id":683,"name":684,"alternativeText":685,"caption":33,"width":569,"height":570,"formats":686,"hash":693,"ext":383,"mime":384,"size":694,"url":695,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":696,"updatedAt":697,"documentId":698,"publishedAt":372,"focalPoint":33},9506,"bqvisual.png","Top Google BigQuery Data Visualization Tools for Data-Driven Businesses ",{"thumbnail":687},{"ext":383,"url":688,"hash":689,"mime":384,"name":690,"path":691,"size":692,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/thumbnail_bqvisual_2e9cee3b6a.png","thumbnail_bqvisual_2e9cee3b6a","thumbnail_bqvisual.png","strapi_blog_files",13.27,"bqvisual_2e9cee3b6a",64.06,"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/bqvisual_2e9cee3b6a.png","2023-02-13T09:46:03.554Z","2024-10-02T13:56:18.650Z","lc0tswwlx0k917bsm6h9hdw2",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":701,"id":702,"documentId":703,"title":704,"summary":705,"slug":706,"read_time":288,"cover_image":707,"article_category":722},"2023-01-18",2899,"fj7x1lovl1hhjd1vgzethy19","BigQuery Analytics — A Complete Overview","\u003Cp>Google BigQuery is the data warehouse component of Google Cloud Platform optimized to run analytic queries on large datasets. Cloud data warehouses help users analyze big data and access it in real time for faster analysis and reporting. You can export data from a Google Analytics 360 account to BigQuery and then use a SQL-like syntax to query all your Analytics data. However, to maximize your data analysis investment, you need to understand its capabilities and how it processes queries.\u003C/p>","bigquery-analytics",{"id":708,"name":709,"alternativeText":704,"caption":33,"width":569,"height":570,"formats":710,"hash":716,"ext":383,"mime":384,"size":717,"url":718,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":719,"updatedAt":720,"documentId":721,"publishedAt":372,"focalPoint":33},7242,"bqanalytics.png",{"thumbnail":711},{"ext":383,"url":712,"hash":713,"mime":384,"name":714,"path":691,"size":715,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/thumbnail_bqanalytics_7fb7599d1a.png","thumbnail_bqanalytics_7fb7599d1a","thumbnail_bqanalytics.png",11.04,"bqanalytics_7fb7599d1a",61.38,"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/bqanalytics_7fb7599d1a.png","2023-01-20T12:58:49.898Z","2024-02-29T21:00:48.189Z","latq0m792g6kd2sa61gqadac",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":724,"id":725,"documentId":726,"title":727,"summary":728,"slug":729,"read_time":60,"cover_image":730,"article_category":744},"2023-01-17",2903,"qa8tbzs9qvv2aepuwlg21rw7","Google BigQuery Tutorial: The Complete Guide","\u003Cp>BigQuery has become popular with marketers thanks to its ability to store and analyze data from sources like Google Analytics or Facebook Ads. The aim of this article is to provide a comprehensive BigQuery tutorial. Here you’ll learn what Google BigQuery is, how to set it up, how to use it, and most importantly, why you should use BigQuery in the first place.\u003C/p>","bigquery-tutorial",{"id":731,"name":732,"alternativeText":33,"caption":33,"width":569,"height":570,"formats":733,"hash":739,"ext":383,"mime":384,"size":740,"url":741,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":742,"updatedAt":742,"documentId":743,"publishedAt":372,"focalPoint":33},7236,"bigquery-tutorial.png",{"thumbnail":734},{"ext":383,"url":735,"hash":736,"mime":384,"name":737,"path":691,"size":738,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/thumbnail_bigquery_tutorial_1a886e2900.png","thumbnail_bigquery_tutorial_1a886e2900","thumbnail_bigquery-tutorial.png",12.34,"bigquery_tutorial_1a886e2900",63.71,"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/bigquery_tutorial_1a886e2900.png","2023-01-20T12:58:38.424Z","zn738alrlbdjh2i5qx0jhxas",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":724,"id":746,"documentId":747,"title":748,"summary":749,"slug":750,"read_time":288,"cover_image":751,"article_category":765},2905,"u0fnw6pw0tzqt2h7qlj6mjhz","9 Most Important BigQuery Data Types","\u003Cp>Understanding BigQuery data types is essential if you want to maximize the on-demand offerings and capabilities of this data warehouse. Many of our customers would like to know more about the different data types provided by BigQuery and how to map the data from their source to BigQuery data types. Let’s dive in and simplify BigQuery data types.\u003C/p>","bigquery-data-types",{"id":752,"name":753,"alternativeText":33,"caption":33,"width":569,"height":570,"formats":754,"hash":760,"ext":383,"mime":384,"size":761,"url":762,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":763,"updatedAt":763,"documentId":764,"publishedAt":372,"focalPoint":33},10064,"bigquery-data-types.png",{"thumbnail":755},{"ext":383,"url":756,"hash":757,"mime":384,"name":758,"path":691,"size":759,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/thumbnail_bigquery_data_types_663e494431.png","thumbnail_bigquery_data_types_663e494431","thumbnail_bigquery-data-types.png",11.47,"bigquery_data_types_663e494431",62.66,"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/bigquery_data_types_663e494431.png","2023-02-14T17:43:52.310Z","texloq4ucrptr8nkw21c50z4",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":767,"id":768,"documentId":769,"title":770,"summary":771,"slug":772,"read_time":60,"cover_image":773,"article_category":788},"2023-01-11",2898,"t5b19b6yele9eem4qgpft9kq","What is Google BigQuery and How Does it Work? – The Ultimate Guide","\u003Cp>Companies increasingly rely on data-driven decision-making and embracing an open data culture where the data is not siloed among multiple vendors, behind multiple APIs with their limitations. Data warehouses like Google BigQuery, Snowflake, Amazon Redshift, and Microsoft Azure play a big part in driving the innovation. In this guide, we talk about BigQuery, an enterprise-grade data warehouse based on Google Cloud infrastructure.\u003C/p>","google-bigquery",{"id":774,"name":775,"alternativeText":770,"caption":33,"width":569,"height":570,"formats":776,"hash":782,"ext":383,"mime":384,"size":783,"url":784,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":785,"updatedAt":786,"documentId":787,"publishedAt":372,"focalPoint":33},10063,"google-bigquery.png",{"thumbnail":777},{"ext":383,"url":778,"hash":779,"mime":384,"name":780,"path":691,"size":781,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/thumbnail_google_bigquery_fdaa67389e.png","thumbnail_google_bigquery_fdaa67389e","thumbnail_google-bigquery.png",13.7,"google_bigquery_fdaa67389e",63.67,"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/google_bigquery_fdaa67389e.png","2023-02-14T17:43:33.923Z","2024-06-25T09:30:33.028Z","o1i6ceza4nmxou1s3roiiwpy",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":790,"id":791,"documentId":792,"title":793,"summary":794,"slug":795,"read_time":19,"cover_image":796,"article_category":810},"2022-12-09",2901,"khpdpd2ppv13k9vg9q4near5","What is a Marketing Data Warehouse and Why Do You Need One?","\u003Cp>Tools like Asana, Close, Facebook Ads, NetSuite, Salesforce, Zoho, and hundreds of other apps each collect different data on your customers. All those apps are designed to make our work easier. But in reality, teams end up with separate data silos. This makes it difficult to use data from individual tools in planning future marketing strategies. So how do you get a 360° customer view? By using a marketing data warehouse. Let’s find out what exactly a marketing data warehouse is and how your business can benefit from it.\u003C/p>","marketing-data-warehouse",{"id":797,"name":798,"alternativeText":793,"caption":33,"width":569,"height":570,"formats":799,"hash":805,"ext":383,"mime":384,"size":694,"url":806,"previewUrl":33,"provider":369,"provider_metadata":33,"createdAt":807,"updatedAt":808,"documentId":809,"publishedAt":372,"focalPoint":33},10059,"Howtowriteareport-2.png",{"thumbnail":800},{"ext":383,"url":801,"hash":802,"mime":384,"name":803,"path":691,"size":804,"width":576,"height":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/thumbnail_Howtowriteareport_2_c5e56ce6ff.png","thumbnail_Howtowriteareport_2_c5e56ce6ff","thumbnail_Howtowriteareport-2.png",11.95,"Howtowriteareport_2_c5e56ce6ff","https://s3.us-east-2.amazonaws.com/whatagraph.com/strapi_blog_files/Howtowriteareport_2_c5e56ce6ff.png","2023-02-14T17:42:34.024Z","2024-02-27T10:06:51.763Z","qsvu6yavjosbtracrr6nt3ty",{"id":5,"title":547,"slug":548,"subheading":549,"createdAt":550,"updatedAt":551,"publishedAt":552,"documentId":553},{"dateReorder":812,"id":813,"documentId":814,"title":815,"summary":816,"slug":817,"read_time":52,"cover_image":818,"article_category":838},"2021-12-10",2201,"a6y59qffk3tzqqaxzleoh9mo","Ecommerce Analytics: Actionable Insights for Business Success","\u003Cp>The eCommerce industry is growing at an exponential rate. Google's investment in partner integrations like Shopify, Woocommerce and others opened the door for eCommerce companies to grow their businesses. 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