SAS® Solutions for Hadoop
Hadoop brings big data. We bring insight.
More data is only a good thing if it's smarter data.
SAS is a powerful complement to Hadoop.
SAS provides everything you need to get the most value from all your big data. Simplified data management eases time-consuming data prep. Visual data discovery helps you quickly spot what's relevant. In-memory analytics and machine learning techniques lead to faster insights.
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Data Exploration & Visualization
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Data Management
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Predictive Analytics
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Analytics for the Data Scientist
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Data Scoring
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Data Exploration & Visualization
Understand your data. It's the first step to finding value.
With Hadoop, understanding what your data has to tell you can be challenging. SAS makes it easy to understand. With SAS, you can:
- Interactively explore billions of rows of data in seconds. Visually examine Hadoop data quickly. Look at both structured and unstructured data – like Twitter feeds – to discover when and why your customers' behavior changes.
- Put fast, powerful analytics in the hands of all users. Easy-to-use analytics helps even those with limited technical skills interact with and analyze data on their own.
- Tell others. Whether it's through the web, mobile devices or Microsoft Office applications, you can easily share your findings. Pass it along.
- Self-service, easy-to-use BI designed for large-scale use. Interactive query, reporting and visual data discovery are at your fingertips. Now everyone can glean insights from Hadoop.
- Analytics for everyone. You don't have to be a programmer to use our tried-and-true analytics to get value from Hadoop. Intuitively find relationships, generate forecasts and predict scenarios on the fly.
- Integration with Microsoft Office and mobile devices. You've got a gold mine of information stored in Hadoop. Put your insights where others can easily access, share and use them.
Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.
Data Management for Hadoop
Effectively manage big data.
Big data skills are in high demand. Now business users can profile, transform and cleanse data – on Hadoop or anywhere else it may reside – using an intuitive user interface. Data analysts can run SAS code on Hadoop for even better performance. With SAS, you can:
- Access and load Hadoop data fast. Turn big data into valuable data with quick, easy access to Hadoop and the ability to load to and from relational data sources as well as SAS datasets.
- Stop the “garbage in, garbage out” cycle. Integrated data quality delivers pristine data that fuels accurate analytics amplified by the power of Hadoop.
- Put big data to work for you. Transform, filter and summarize data yourself, and get more value from your big data.
- Get more out of your computing resources. Optimize your workloads, and gain high availability across the Hadoop cluster.
Learn about SAS® Data Loader for Hadoop
- Better productivity through faster management of big data. In-Hadoop data quality and code execution take advantage of MapReduce and YARN to speed the process of accessing trusted data.
- Big data management. Big data is becoming the backbone of business information. We help business and IT work together to deliver big data that's enterprise ready – no need to write code (unless you want to).
- Data you can trust. Make big data better. SAS provides multiple data integration and data quality transformations to profile, parse and join your data without moving it out of Hadoop.
- SAS® Data Loader for Hadoop
Manage big data on your own terms – and avoid burdening IT – with self-service data integration. - SAS® Data Management
Ensure better, more reliable data integrated from any source. - Service Offerings for Hadoop
Get the most out of your Hadoop data with support, training and resources from SAS.
Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.
Interactive Predictive Analytics
Tired of waiting? Get answers now.
Want answers from Hadoop? Churning out a couple of models a week isn’t going to cut it. Neither is waiting hours for analytical results that must be refined further. SAS takes a different approach, so you can:
- Answer questions you never had time to ask. Build and refine predictive models in a visual, intuitive environment. Get results in minutes – even seconds – using in-memory processing.
- Produce better insights. Use diverse data and run more models on-the-fly. Test more ideas and find the best answers.
- Seize new opportunities. With finer, more accurate results you can make the right choices, drive new revenue and improve your bottom line. Put your Hadoop data to work for you.
- In-memory processing for persisting data. SAS reads big data into memory once. It can then be analyzed multiple times. By multiple users. All without having to write data to disk or perform expensive data shuffling.
- Deeper drilling for bigger challenges. Evaluate and refine models to get precise answers. SAS helps you solve problems you could not address before.
- Faster experimentation, better answers. In-memory processing allows you to run frequent modeling iterations to find the results that bring the most value.
Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.
Analytics for the Data Scientist
Like coding? You'll love this – real results from Hadoop in seconds.
An all-in-one, interactive environment gives you everything you need to get accurate insights from data in Hadoop. At lightning-fast speed. With SAS, you can:
- Do everything from a single environment. Many users can work simultaneously. Manipulate and prepare data. Explore. Build models. And deploy. We've got the entire analytical life cycle covered.
- Build better models for better results. Create sophisticated models using world-class statistical and machine-learning techniques. Run them against all your Hadoop data.
- Analyze as fast as you think. An interactive, in-memory environment lets you customize your code and get instant results. How fast and creative can you be?
- Scale to meet enterprise needs. More data, more users and complex issues? No problem. Our highly scalable, in-memory environment grows easily as needed.
- Faster results. Build models and quickly run multiple iterations to determine the best performer. Shrink the time from model inception to deployment.
- Ability to persist data in memory. Our unique technology reads in big data once, but you can analyze it multiple times. The result? Greater productivity and turn-on-a-dime creativity.
- Unprecedented analytical power. Powerful statistical and machine-learning techniques, text analytics, a recommendation system and more. Know more, faster.
- One environment for the entire analytical life cycle. You don’t have to switch between different Hadoop languages and technologies to get insights that drive better decisions. You're covered from beginning to end.
Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.
Data Scoring in Hadoop
Get models out fast for faster predictive insights and real-time action.
Moving analytical models from design into production can be resource-intensive. But it's crucial to deploy them inside Hadoop as quickly as possible to reap the benefits. With SAS, you can:
- Score data in Hadoop. Don't waste time moving data when you can score it inside Hadoop and quickly turn insights into action.
- Operationalize analytics. We've automated the analytic model deployment process so you can put more models into production faster.
- Score raw data as it comes in. Export not just the model, but the entire workflow – including data preparation and variable transformation logic for scoring.
- Reduced data movement, greater data governance. Score data inside Hadoop instead of moving it. Avoid data latency and replication.
- Streamlined model deployment. Execute your model-scoring processes within Hadoop to avoid manual processing errors and get faster results.
- More productive IT and analytic teams. Faster automated deployment frees your analytics team to focus on developing more models and lets IT focus on strategic projects.
Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.
- SAS/ACCESS® SoftwareRead, write and update data regardless of its native database or platform.
- SAS® Data Loader for HadoopManage big data on your own terms – and avoid burdening IT – with self-service data integration and data quality.
- SAS® Econometrics Analyze complex business and economic scenarios, providing a scientific basis for better decision making.
- SAS® Event Stream ProcessingGet immediate analytic insights from real-time big data streaming into your organization.
- SAS® In-Memory StatisticsFind insights in big data with a single environment that moves you quickly through each phase of the analytical life cycle.
- SAS® OptimizationFind optimal solutions to complex business and planning problems faster than ever.
- SAS® Scoring AcceleratorAutomate data scoring processes within the database to improve model performance and get faster results.
- SAS® Visual AnalyticsVisually explore all data, discover new patterns and publish reports to the web and mobile devices.
- SAS® Visual Data Mining and Machine LearningSolve your most complex problems faster with a single, integrated in-memory environment.
- SAS® Visual StatisticsCreate and modify predictive models faster than ever using a visual interface and in-memory processing.
- Service Offerings for HadoopGet the most out of your Hadoop data with support, training and resources from SAS.
SAS Insights, your source for top big data news, views and best practices.
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Modern manufacturing's triple play: Digital twins, analytics and IoT Using exact duplicates to manage complex systems dates to NASA’s early moon missions. Today, IoT is key to implementing digital twin technology in manufacturing.
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5 ways to measure beehive health with analytics and hive-streaming dataThis analytical approach to understanding bee hive health can automatically alert beekeepers to changes in hive weights, temperatures, flight activity and more.
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Edge computingWith traditional methods, data is captured, stored and analyzed later – limiting how quickly businesses can act on insights from the data. With edge computing, IoT data is processed at the edge of a network – right where it’s created or collected – avoiding delays and enabling real-time processing and action.
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IT/OT convergence: The dilemma of the IoT perception gapThe IoT phenomenon demands intimate collaboration between information technology (IT) and operational technology (OT). But IT and OT have distinct gaps in perception about the goals and outcomes of IoT initiatives. Tom Bradicich explains why IT/OT convergence is essential for successful IoT projects.
What People Are Saying
"Our goal was to analyze growing volumes of network and customer data with greater speed, in seconds instead of minutes, accelerating the decision-making process. Hadoop and SAS have provided that ability."
