SAS Data Loader for Hadoop Integrations

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Eliminate the risk of incremental, ad hoc operational decision making by using analytically derived business rules to automate and improve decisions across your organization. SAS Business Rules Manager provides a central rules repository, a common platform for managing rule development and deployment, and workflow automation throughout. Administrators have a single point of control for setting authorization, access and security levels for individual users. An integrated workflow for process customization ensures the traceability and versioning of publishing activity. Granular control of rule capabilities provides role security, ensuring that users are appropriately authorized. Use analytical modeling to derive business rules directly from your operational data and automatically generate rule definitions and vocabularies.

Power BI is a business intelligence platform that enables users to analyze data using AI-driven tools and intuitive report creation. It consolidates data from various sources into OneLake, creating a centralized data source. This platform aids in embedding actionable insights into applications like Microsoft 365, aiding decision-making. Power BI integrates with Microsoft Fabric, enhancing data management. It offers scalability to handle large data volumes and integrates seamlessly with Microsoft services. Its AI capabilities efficiently identify patterns and generate insights. Power BI ensures data security and compliance. Its Copilot feature allows rapid report generation. Additionally, Power BI Pro offers self-service analytics, and its free version includes data modeling and visualization tools. It's known for unified data management, empowering users with accessibility and training resources. Power BI has demonstrated a significant ROI and economic benefit, as evidenced in a Forres

Connect your product to hotel data in minutes Securely read from and write to many hotel systems using one powerful, well-documented JSON API. Connect your app to our Test Hotel in minutes, and connect to real hotels in days, not weeks. One easy-to-understand, universal REST API to connect to many hotel systems. Impala uses bank-grade security, is fully GDPR-compliant and uses geographically diverse hosting. Impala will be the last PMS integration you’ll ever need. We’re connecting your app to hotel data by integrating with a growing number of property management systems, so you don't have to. We're continuously adding hotel systems, so you can sell to a wider range of hotels every month. Modern hotel technology needs complete data and that's what Impala provides, seamlessly and in both directions. Whether you need to read guest information, write a new transaction or receive an update on a rate change, the Impala API provides a full range of data.

Get the right information to anyone who needs it. Integrate and discover data on your own. Create and share interactive reports. Spark your curiosity with easy-to-use analytics. And monitor key metrics so when something goes awry, you'll know why – and what to do about it. Quickly gain insights using automated analysis backed by machine learning, with easy-to-understand natural language explanations. Visually explore all relevant data, and quickly spot hidden relationships. Compelling visuals help you quickly grasp what the data has to tell you. Interactive visualizations backed by analytics are explained in terms everyone can understand. Compelling visuals help you quickly grasp what the data has to tell you. Interactive visualizations backed by analytics are explained in terms everyone can understand. No matter your skill level, you can ask tough questions. Easily explore, create and share. Follow your instincts. No need to engage IT.

Fight money laundering and terrorist financing with AI, machine learning, intelligent automation and advanced network visualization. Stay ahead of emerging risks and changing regulations. SAS® has helped financial institutions achieve more than 90% model accuracy, reduce false positives by up to 80% and improved the SAR conversion rate fourfold. Quickly uncover emerging, complex money laundering and terrorist financing threats with network and entity generation processes that automatically build network diagrams and reveal hidden relationships. Advanced analytics enables entity resolution by looking at multiple data sources and references to a customer, then accounting for inconsistencies, errors, abbreviations and incomplete records to help determine whether they relate to the same entity. Empower AML investigators with an integrated, configurable, user-friendly alert and case management solution that offers self-service capabilities.

Operate more efficiently and effectively at all levels of decision-making with a broad range of automation, scalability, statistical sophistication and transparency built on our experience working with hundreds of utilities worldwide. The changing nature of the grid requires a forecasting platform capable of ingesting massive data sets to provide insights down to the circuit level. SAS Energy Forecasting has been proven to provide granular insights based on these massive data sets. Through repeatable, scalable, traceable and defensible results, the solution improves forecasting performance across all locations, at any level of aggregation. Forecasts are transparent and documented for sharing with internal partners and third-party stakeholders, enabling you to avoid millions of dollars in regulatory fines. Use all your data to maximize investments in smart meters and advanced metering infrastructure.

No matter your level of marketing maturity, marketing solutions from SAS empower you to reimagine marketing. Adaptive planning, journey activation and a real-time decision engine enable you to create appealing, moments-based customer experiences that boost profitability and strengthen brand loyalty. Seamlessly enhance and extend customer data activation beyond a traditional customer data platform. Act faster with out-of-the-box insights driven by advanced AI and machine learning. Accelerate, automate and streamline marketing planning activities for optimal accountability. Create personalized customer journeys that boost response rates and generate profitable leads. Deliver a broader brand experience through other functions, suppliers, vendors or stakeholders. SAS Customer Intelligence 360 delivers purpose-built, intelligent marketing for today's modern enterprises. SAS moves brands from data, to insight, to action with rich functionality for adaptive planning, journey activation, etc.

No matter where your data is stored, from cloud, to legacy systems, to data lakes, like Hadoop, SAS Data Management helps you access the data you need. Create data management rules once and reuse them, giving you a standard, repeatable method for improving and integrating data, without additional cost. As an IT expert, it's easy to get entangled in tasks outside your normal duties. SAS Data Management enables your business users to update data, tweak processes and analyze results themselves, freeing you up for other projects. Plus, a built-in business glossary, as well as SAS and third-party metadata management and lineage visualization capabilities, keep everyone on the same page. SAS Data Management technology is truly integrated, which means you’re not forced to work with a solution that’s been cobbled together. All our components, from data quality to data federation technology, are part of the same architecture.

Access, organize, select and transform IoT data with this complete, AI-embedded solution. SAS Analytics for IoT covers the entire Internet of Things analytics life cycle, providing streamlined, extensible ETL, a sensor-focused data model, advanced analytics, and an industry-leading streaming execution engine to perform multi-phase analytics. SAS Analytics for IoT is built on SAS® Viya® and runs in a fast, in-memory distributed environment. Learn how to build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, respond in real time, and store only relevant data elements. This course covers basic concepts of event stream processing, including what component objects are available to build event stream processing applications. Curiosity is our code. SAS analytics solutions transform data into intelligence, inspiring customers around the world to make bold new discoveries that drive progress.

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2).

Integrate master data management technologies with those in SAS 9.4. SAS MDM is a web-based application that is accessed through the SAS Data Management Console. It provides a single, accurate and unified view of corporate data, integrating information from various data sources into one master record. SAS® Data Remediation and SAS® Task Manager work together with SAS MDM and as well as with other software offerings, such as SAS® Data Management and SAS® Data Quality. SAS Data Remediation enables users to manage and correct issues triggered by business rules in SAS MDM batch jobs and real-time processes. SAS Task Manager is a complementary application to others that integrate with SAS Workflow technologies giving users direct access to a workflow that might have been initiated from another SAS application. Users can start, stop, and transition workflows that have been uploaded to the SAS Workflow server environment.

No matter how your financial institution prioritizes risk, SAS has proven methodologies and best practices to help you establish a risk-aware culture, optimize capital and liquidity, and meet regulatory demands. Put on-demand, high-performance risk analytics in the hands of your risk professionals to ensure greater efficiency and transparency. Strike the right balance between short- and long-term strategies. And confidently address changing regulatory requirements. SAS has proven methodologies and best practices to help you establish a risk-aware culture, optimize capital and liquidity, and efficiently meet regulatory demands. Deploy a broad range of scalable credit models to continuously manage your loan portfolios. Improve regulatory compliance and instill powerful balance sheet management capabilities. Simulate over multiple scenarios. Produce results faster with a richer analysis to inform business decision-making.

Streamline the data mining process to develop models quickly. Understand key relationships. And find the patterns that matter most. Dramatically shorten model development time for your data miners and statisticians. An interactive, self-documenting process flow diagram environment efficiently maps the entire data mining process to produce the best results. And it has more predictive modeling techniques than any other commercial data mining package. Why not use the best? Business users and subject-matter experts with limited statistical skills can generate their own models using SAS Rapid Predictive Modeler. An easy-to-use GUI steps them through a workflow of data mining tasks. Analytics results are displayed in easy-to-understand charts that provide the insights needed for better decision-making. Create better-performing models using innovative algorithms and industry-specific methods. Verify results with visual assessment and validation metrics.

SAS Data Quality meets you where you are, addressing your data quality issues without requiring you to move your data. You’ll work faster and more efficiently – and, with role-based security, you won’t put sensitive data at risk. Data quality isn’t something you do just once; it’s a process. We help you at every stage, making it easy to profile and identify problems, preview data, and set up repeatable processes to maintain a high level of data quality. Only SAS delivers this much breadth and depth of data quality knowledge. We’ve experienced it all – and integrated that experience into our products. We know that data quality can mean taking things that look wrong and seeing if they’re actually right. How? With matching logic. Profiling. Deduplicating. SAS Data Quality gives business users the power to update and tweak data themselves, so IT is no longer spread too thin. Out-of-the-box capabilities don’t require extra coding.