SAS Data Loader for Hadoop Integrations

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Power BI provides advanced data analysis, leveraging AI features to transform complex datasets into visual insights. It integrates data into a single source, OneLake, reducing duplication and streamlining analysis. The platform enhances decision-making by integrating insights into everyday tools like Microsoft 365 and is bolstered by Microsoft Fabric for data team empowerment. Power BI is scalable, handling extensive data without performance loss, and integrates well with Microsoft's ecosystem for coherent data management. Its AI tools are user-friendly and contribute to efficient and accurate insights, supported by strong data governance measures. The Copilot function in Power BI enables quick and efficient report creation. Power BI Pro licenses individuals for self-service analytics, while the free account offers data connection and visualization capabilities. The platform ensures ease of use and accessibility, backed by comprehensive training. It has shown a notable return on investment and economic benefits, as reported in a Forrester study. Gartner's Magic Quadrant recognizes Power BI for its ability to execute and completeness of vision.

Reduce the risk of making a few decisions haphazardly and automate your operations by using analytically derived business rules. SAS Business Rules Manager is a central repository for rules, which can be used to manage rule development, deployment, and workflow automation.

Connect your product to hotel data within minutes. Securely read and write to multiple hotel systems with one powerful, well-documented JSON interface. Connect your app to our Test Hotel in minutes. Real hotels can be connected in days, not weeks. All you need to connect to multiple hotel systems is one easy-to-understand REST API. Impala is bank-grade secure, GDPR-compliant, and uses geographically diverse hosting. Impala will be your last PMS integration. We connect your app to hotel data through a growing number property management systems. We are constantly adding hotel systems so that you can sell to a wider variety of hotels each month. Modern hotel technology requires complete data. Impala provides that seamlessly and in both directions. The Impala API offers a wide range of data, including guest information, transaction details, and updates on rate changes.

All the information you need is at your fingertips. Integrate and discover data by yourself. Create and share interactive reports. Easy-to-use analytics will spark your curiosity. Monitor key metrics to find out what's happening and what you can do. Automated analysis supported by machine learning provides quick insights with simple-to-understand explanations in natural language. Visually explore all relevant data and spot hidden relationships. Visuals that are compelling and easy to understand will help you quickly grasp the meaning of the data. Analytics-backed interactive visualizations are explained in terms that everyone can understand. Visuals that are compelling will help you quickly understand the data. Analytics-backed interactive visualizations are easy to understand. No matter what your level of skill, you can ask difficult questions. You can easily explore, create, and share. Follow your instincts. There is no need to engage IT.

AI, machine learning and intelligent automation can help you fight money laundering and terrorist financing. Keep up with emerging risks and changes in regulations. SAS®, which has been used by financial institutions to improve their model accuracy by more than 90%, reduce false positives up to 80%, and increase the SAR conversion rate by fourfold, has been used by financial institutions. With network and entity generation processes that automatically create network diagrams and reveal hidden relationships, you can quickly uncover complex money laundering and terrorist financing issues. Advanced analytics allows entity resolution by looking at multiple data sources, references to customers, and then accounting for inconsistencies and errors to determine if they relate to the exact entity. AML investigators can be empowered with an integrated, configurable and user-friendly case management system that allows for self-service.

Our extensive experience working with hundreds upon thousands of utilities around the world has helped us to operate more efficiently and effectively at all decision-making levels. A forecasting platform that can ingest large data sets and provide insight down to the circuit level is required due to the changing nature of the grid. SAS Energy Forecasting has been shown to deliver granular insights from these huge data sets. The solution improves forecasting performance across all locations and at any level of aggregation by providing repeatable, scalable and traceable results. Forecasts can be shared with internal partners and third party stakeholders. This will help you avoid regulatory fines of millions of dollars. To maximize your investments in smart meters, advanced metering infrastructure, use all of your data.

SAS marketing solutions can help you reimagine marketing, regardless of your marketing maturity. SAS marketing solutions include adaptive planning, journey activation, and a real time decision engine. These enable you to create memorable customer experiences that increase profitability and build brand loyalty. You can seamlessly enhance and extend customer data activation beyond the traditional customer data platform. Advanced AI and machine learning enable you to act faster by leveraging out-of-the box insights. Optimize marketing planning for maximum accountability by automating, speeding up and streamlining it. Personalize customer journeys to increase response rates and generate leads. Other functions, suppliers, vendors, and stakeholders can help you deliver a wider brand experience. SAS Customer Intelligence 360 delivers purpose-built, intelligent marketing for today's modern enterprises. SAS helps brands move from data to insight to action with rich functionality that allows for adaptive planning, journey activation, and more.

SAS Data Management allows you to access your data regardless of where it is stored. You can create data management rules once and then reuse them. This gives you a consistent, repeatable way to improve and integrate data without extra cost. It's easy to get involved in tasks that are not your normal duties as an IT expert. SAS Data Management allows your business users to update data and tweak processes, as well as analyze results. This frees you up to work on other projects. A built-in business glossary, along with SAS and third-party metadata management, and lineage visualization capabilities, keeps everyone on the same page. SAS Data Management technology is fully integrated. This means that you don't have to use a solution that has been thrown together. All components of SAS Data Management technology, from data quality to federation technology, are part and parcel of the same architecture.

This complete, AI-embedded solution allows you to access, organize, select, and transform IoT data. SAS Analytics for IoT provides a comprehensive, extensible ETL solution that covers the entire Internet of Things analytics cycle. It also features advanced analytics, a sensor-focused data modeling, advanced analytics, and a streaming execution engine that can perform multi-phase analysis. SAS Analytics for IoT runs in a distributed, fast-in-memory environment. Learn how to create SAS Event Stream Processing applications that ingest large volumes of high-velocity data streams and respond in real-time. This course teaches you the basics of event stream processing and what components are needed to create event stream processing apps. Our code is Curiosity. SAS analytics solutions transform data to intelligence, inspiring customers all over the globe to make bold discoveries that lead to progress.

Apache Hadoop is a software library that allows distributed processing of large data sets across multiple computers. It uses simple programming models. It can scale from one server to thousands of machines and offer local computations and storage. Instead of relying on hardware to provide high-availability, it is designed to detect and manage failures at the application layer. This allows for highly-available services on top of a cluster computers that may be susceptible to failures.

Integrate master data management technologies into SAS 9.4. SAS MDM can be accessed via the SAS Data Management console. It provides a single, accurate, and unified view for corporate data by integrating data from multiple sources into one master record. SAS®, Data Remediation, and SAS(r] Task Manager can be used together with SAS MDM as well as other software offerings such as SAS® Data Management or SAS(r] Data Quality. SAS Data Remediation allows users to resolve issues that are triggered by business rules in SAS MDM batch job and real-time processes. SAS Task Manager is a complementing application that integrates with SAS Workflow technologies. It allows users direct access to a workflow that may have been initiated from another SAS app. Workflows that have been uploaded can be started, stopped, or transitioned.

SAS has proven methods and best practices that can help you create a culture of risk awareness, optimize capital and liquidity, meet regulatory requirements, and establish a culture of risk awareness, no matter what your financial institution's priority is. Your risk professionals can provide high-performance, on-demand risk analytics to increase efficiency and transparency. Find the right balance between short-term and long-term strategies. Be able to adapt to changing regulatory requirements. SAS offers proven methods and best practices that will help you create a culture of risk awareness, optimize capital and liquidity, meet regulatory requirements efficiently, and implement these best practices. To manage your loan portfolios, you can use a wide range of scalable credit models. Enhance regulatory compliance and strengthen your balance sheet management abilities. Simulate over multiple scenarios. You can produce faster results and have a deeper analysis to help you make business decisions.

To quickly develop models, streamline the data mining process. Learn the key relationships. Find the most important patterns. Your data miners and statisticians will be able to significantly reduce the time it takes to create models. A self-documenting interactive process flow diagram environment maps the entire data mining process for the best results. It also has more predictive modeling techniques that any commercial data mining program. Why not choose the best? SAS Rapid Predictive Modeller is available for business users and subject-matter specialists with limited statistical skills. A simple-to-use GUI guides them through the data mining process. Analytics results are presented in simple-to-understand charts that provide insights necessary for better decision-making. Use industry-specific methods and innovative algorithms to create models that are more efficient. Visual assessment and validation metrics are used to verify results.

SAS Data Quality is available to you wherever you are. It addresses your data quality issues without you having to move your data. You will work faster and more efficiently, and sensitive data won't be at risk with role-based security. Data quality is not something you do once. It's a process. We can help you at each stage. It's easy to identify and fix problems, preview data and set up repeatable processes that will ensure data quality. SAS is the only company that can provide this level of data quality knowledge. SAS has been there and done it all. We have incorporated that experience into our products. Data quality can be as simple as looking at things wrongly and then confirming that they are correct. How? With matching logic. Profiling. Deduplicating. SAS Data Quality gives business users the ability to update and modify data, so IT is not spread too thin. Out-of-the-box capabilities don't require extra coding.