Azure Synapse Analytics is the next incarnation of Azure SQL Data Warehouse from Microsoft. Like SQL Data Warehouse, Azure Synapse Analytics is a cloud-based, relational data warehouse system with MPP (massively parallel processing), virtually unlimited scaling capacity, and the power to process and store petabytes of data. The difference is that Azure Synapse Analytics has added business intelligence, machine learning, and other advanced features to its data warehousing profile. Microsoft has also boosted the platform's capacity to ingest, transform, manage, and process larger volumes of relational and non-relational data faster and more efficiently.
Taboola is a discovery-driven content marketing service for both advertisers and publishers that is designed to offer visitors highly personalized external content while they engage with a publisher’s website. Taboola accomplishes this level of personalization through a predictive analysis engine that looks at a wide range of data points, including demographic data, browsing history, purchase history, etc. Then, it chooses and displays the discovery links that are most likely to engage those visitors, thereby increasing the likelihood of conversion.
Bring all your Taboola data to Amazon Redshift
Load your Taboola data to Google BigQuery
ETL all your Taboola data to Snowflake
Move your Taboola data to MySQL
In addition to serving as a powerful, scalable, cloud-based data warehouse, Azure Synapse adds advanced business intelligence and machine learning data analytics to its list of services.
Whether you need a non-relational data lake, relational data warehouse, or a combination of both, Azure Synapse integrates the two and lets you query the data in SQL while serving as a unified, end-to-end analytics solution. Within a single workspace, Azure Synapse allows you to achieve your data warehousing, data preparation, data management, AI, machine learning, and business intelligence goals. Access all of your data and create stunning dashboards with Power BI via a single interface.
With Azure Synapse Link, cloud-native HTAP implementation allows you to integrate Azure Synapse with Azure databases to extract near real-time insights from operational databases. This allows Azure Synapse to extract machine learning and business intelligence analyses from live data without disrupting the transactional performance of operational systems.
Azure Synapse allows your team to work with their preferred language. Whether it's T-SQL, Scala, Spark SQL, Python, or .Net, Azure Synapse is compatible with your language of choice while using either provisioned or serverless processing resources.
Azure Synapse lets you query data with provisioned or serverless on-demand computational resources.
Azure Synapse natively connects with a wide range of Azure and Microsoft services. The platform includes native connectors for Azure Machine Learning, Azure Data Lake, Azure Blob Storage, Azure Active Directory for authentication, and Microsoft Power BI for visualizing data. Azure Synapse also integrates its machine learning and business intelligence tools with Open Data Initiative tools and services. Led by Microsoft, Adobe, and SAP Software solutions, the Open Data Initiative seeks to boost the connectivity and interoperability of cloud-based SaaS services. Open Data Initiative compatible services include the Microsoft Office 365 suite, the Microsoft Dynamics 365 suite, and more.
Microsoft Azure Synapse makes it easy to optimize your query performance through limitless concurrency, workload isolation, workload management.
Azure Synapse offers cutting-edge security and privacy that includes dynamic, real-time data masking, always-on data encryption, automated threat detection, authentication through single-sign-on and Azure Active Directory. The platform also includes access control features like column-level security and native row-level security for additional security and privacy within your team.
In terms of compliance, Azure offers more certifications than any cloud provider to ensure that your data collection and data use practices comply with industry-specific, regional, state, and national compliance standards.
Manage the details of one or more of your ad campaigns, including the financial details - such as cost-per-click (CPC), spending limit, and daily cap - and preferred targets for the campaign i.e. publishers, countries, platforms, etc. This ensures that your campaigns are personalized for the audience most likely to engage them.
Retrieve performance reports that include advertiser-relevant data - such as CPC, impressions, total clicks, etc. - as well as publisher metrics, like detailed analytics on the revenue that is being generated by a page. This information allows publishers and advertisers to gauge how to best maximize their discovery-based marketing performance.
Request resources that can help set up a campaign on Taboola, including the supported regions and region codes, which platforms are supported, and a dictionary that lists all of the terms that can be used when requesting these resources. Then, use this information to customize a campaign that will provide more effective targeting.