AirQuery’s Data Pipelines can move data from 200+ data sources
According to Gartner, 83% of data migration projects fail or exceed their budgets or schedules.
Amazon's cloud computing division, AWS, has experienced unprecedented growth, reporting revenues exceeding $80 billion in 2022, clearly establishing itself as the go-to platform for several enterprise cloud infrastructures. AWS provides a comprehensive suite of data storage and analytical solutions, enabling organizations to execute large-scale simulations and deep learning tasks within the cloud environment. Solutions like Amazon Redshift are gaining popularity as businesses recognize the advantages and transition to cloud-based platforms. Amazon Redshift, a fully managed data warehouse service, stands out for its high-speed performance and exceptional scalability, empowering businesses to efficiently collect, store, and analyze data for informed decision-making.
Why Redshift is Chosen by Many for Oracle Fusion Cloud ERP Data
Migrating Oracle Fusion Cloud ERP Applications data to Redshift or your other cloud data warehouse is pivotal in upgrading data infrastructure to boost analytics and reporting capabilities. This process requires thorough preparation, precise execution, and continuous optimization. It grants access to exceptional scalability and performance. Moreover, with its seamless integration into the AWS ecosystem, this migration empowers an organization with cheaper, highly available data storage, along with advanced analytics capabilities that go beyond traditional reporting and basic analytics. It provides organizations with powerful tools and functionalities to uncover trends, patterns, and correlations within their data. It enables predictive modeling, real-time insights, machine learning integration, and scalable performance, leading to strategic decision-making and operational excellence.
Benefits of Migrating Data from Oracle Fusion Cloud ERP to Redshift (Or your preferred Cloud Data Warehouse solution)
Scalability and Performance
AWS Redshift is one of the popular cloud databases that excels in handling large data volumes and complex analytical queries. Migrating Oracle Fusion Cloud Applications data to Redshift enhances data analytics and reporting performance, especially for organizations dealing with extensive datasets or experiencing data volume growth.
Redshift operates on a pay-as-you-go model, where organizations only pay for the resources they use. This can save costs compared to traditional on-premises or other cloud-based data warehouses. Redshift's ability to scale based on demand allows organizations to optimize costs as needed.
Integration with AWS Ecosystem
For organizations already utilizing AWS services in their infrastructure, incorporating Redshift into the AWS ecosystem can streamline operations and enhance overall efficiency with benefits like interoperability, streamlined operations, lower TCO, seamless integration and more.
Data Accessibility and Availability
Redshift provides high availability and data durability, ensuring that Oracle Fusion Cloud Applications data is accessible and protected. This feature is crucial for mission-critical applications that require real-time access to accurate and reliable data for decision-making.
Advanced Analytics Capabilities
Redshift’s ability to work seamlessly with various BI and analytics tools enables organizations to conduct advanced analytics, derive meaningful insights, and produce visual representations from their Oracle Fusion Cloud Applications data. This feature equips teams to base their decisions on data and achieve a competitive advantage.
Security and Compliance
AWS provides excellent security and compliance certifications, assisting organizations in fulfilling regulatory obligations and guarantee confidentiality, integrity, and availability of their Oracle Fusion Cloud Applications data. This ensures that Fusion data remains secure even while they are being used for various analytics and reporting purposes.
Data Governance & Management
Redshift provides data encryption, access controls, and auditing capabilities that enhance data governance. Organizations can implement policies and controls to manage data effectively, aligning with compliance and governance frameworks.
Optimized Reporting from Redshift
Data warehouse platforms are instrumental in reporting as they centralize and optimize data storage for efficient analysis. Complementing this, data pipelines play a crucial role in ensuring a smooth data flow, connecting diverse sources to the warehouse, and getting the best data pipelines for the job makes the difference. And Redshift emerges as the top solution in the industry with its robust architecture, scalability, and seamless integration within the AWS ecosystem positioning itself as the preferred choice for organizations in need of high-performance analytics.
AWS Redshift provides a powerful platform for creating high-performance and scalable reports with efficient data processing and analysis capabilities. By gaining a complete understanding of its key features, incorporating compatible reporting tools, and applying optimization strategies, organizations can harness the full potential of Redshift for timely and insightful reporting.
Let’s explore the Redshift features and see how reporting from Redshift can be optimized.
Columnar Storage and Compression
Redshift's columnar storage allows for efficient querying of large datasets. Utilizing compression techniques further reduces storage requirements and improves query performance.
Redshift leverages parallel processing across multiple nodes, enabling rapid execution of complex queries. This ensures timely report generation, even for extensive datasets.
Caching and Materialized Views
Caching mechanisms can be implemented or materialized views utilized for frequently accessed reports to pre-compute and store aggregated data. This reduces query times and alleviates the load on the Redshift cluster.
Data Distribution and Sorting
Properly selecting distribution keys and sort keys can significantly enhance query performance. Distributing data based on common join keys and sorting frequently queried columns improves efficiency.
Aggregation and Filtering
Pre-aggregating data wherever applicable will reduce the data that needs to be processed for reporting. Using filters will narrow down datasets before generating reports.
Regular Vacuum and Analyze Operations
Performing regular Vacuum and Analyze operations helps to maintain optimal performance by reclaiming unused space and updating statistics for improved query planning.
How Air Query Can Help
Despite the variety of reporting and analytics tools in the market, businesses seek a single tool to manage multiple needs. The high cost of investing in multiple solutions makes it difficult to maintain and defeats the purpose of moving to the cloud to do away with organizational silos. Also, the effectiveness of using data to make decisions is reduced which makes it difficult to collaborate.
To bring together data from disparate sources and get an augmented report, it is crucial to opt for a tool that can unlock the power of cloud data. AirQuery is popular and has features that complement Amazon Redshift or any other cloud data warehouse, and enable business users to unleash the full potential of AWS.
The AirQuery Advantage
Access Data from Multiple Sources
AirQuery supports data access and integration from disparate sources and has native integration with Redshift. Air Query connectors automatically integrate data from any cloud-based data warehouse and can integrate databases and business applications used across the organization, without having to write complex code. You can also consolidate data from various teams including finance, operations, supply chain, marketing, product, and manufacturing.
Smart Lookup with AirQuery’s Augmatica
With AirQuery’s Augmatica, you can do a smart lookup for any reports needed without using any reporting tool. You get your information at your fingertips with QUICKLETS. You can use Quicklets in any application to get precise, context-specific information immediately. Quicklets are customizable and are the best way to democratize information.
Access ERP Database Using Excel
You can explore data underlying application transactions, dashboards, and reports, and leverage Excel functionalities. AirQuery’s Excel Reporting tool allows you to pull real-time data from multiple applications and data sources into Excel. You can perform complex data comparisons, run custom SQL Queries, generate reports, and analyze data within the spreadsheet.
Role-based Access to Data based on Authentication and Authorization
With AirQuery, you do not have to recreate rules for role-based data access. The rules created in your EBS automatically apply without any added configuration. This adds to Redshift’s robust security features, including role-based access control (RBAC) to manage user permissions and control access to data.
If you are looking for a tool that integrates best with Amazon Redshift, AirQuery is the best and most powerful SaaS BI tool offering ease of use, scalability and compatibility with Redshift features and data structures. AirQuery provides ease of reporting and analytics whether it is operational, financial, strategic, or ad hoc reporting. If you would like to talk to an expert or explore the dynamic potential of Redshift integrated with AirQuery, we would be glad to demonstrate it for you.