88% of organizations see Hadoop as an opportunity. Are you in?
Adding Hadoop to your big data mix? Now what? SAS provides everything you need to derive valuable insights from all that data. Extensive data management – because prepping data is hugely time consuming. Visual data discovery. In-memory processing. Sophisticated analytics. And the ability to quickly deploy the models that provide the best answers.
Data Exploration & Visualization
Understand the data. It's your first step to finding value.
With Hadoop, it’s challenging to know what data you have. And what it can tell you. 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 what your customers really think.
- Put fast, powerful analytics in the hands of all users. Easy-to-use analytics helps even those with limited technical skills explore and understand data on their own.
- Tell others. Whether it's through the Web, mobile devices or Microsoft applications, you can easily share your findings. Pass it along.
- SAS Analytics for everyone. Use our tried-and-true analytics to get value from Hadoop without being an analytical expert or programmer. Determine relationships, forecast and examine scenarios. No programming required.
- Integration with Microsoft Office and mobile devices. You've got a gold mine of information stored in Hadoop. Put your insights where people can easily access and use them.
- Self-service BI designed for large-scale use. Interactive querying, BI and visualization are combined with out-of-the box advanced analytics. Now everyone can discover insights from Hadoop.
Data Management for Hadoop
Don’t just store big data. Make it useful.
Big data projects initially focused on collection and storage. Now? It’s about managing that data. And using massive data sets to make a difference. With SAS, you can:
- Access Hadoop data fast. Turn big data into valuable data with quick, easy access to Hadoop.
- Stop the “garbage in, garbage out” cycle. Integrated data storage delivers high-quality data that fuels accurate analytics.
- Put big data to work for you. Reuse your data integration skills to focus on big data sets – and take big data out of the shadows.
- Faster management of big data. In-Hadoop data quality and data integration take advantage of MapReduce and YARN to speed the process of getting trusted data.
- Big data management. No coding required. Big data is emerging as the backbone for business information. We help business and IT to work together to deliver big data that's enterprise ready.
- Data management for Hadoop. Make big data better. SAS provides dozens of transformations for Hive, Pig and MapReduce.
Analytics on Hadoop
Stop the waiting. Get answers now.
Hadoop requires a different approach. Churning out a couple of models a week isn’t going to cut it. Waiting hours for analytical results won't help either. With SAS, you can:
- Answer questions you never had time to ask. Perform complex computations in a distributed, in-memory environment. Get results in minutes – even seconds.
- Produce better insights. Use complete data and run more models. Evaluating multiple scenarios with all your data lets you 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.
- Use the amount of data required to solve the problem. Develop predictive models using all your data, not subsets or samples.
- Address problems you could not address before. Drill deeper into complex and diverse data. Depend on our proven algorithms for more precise answers.
- Experiment faster to get the best answers. Run fast, frequent modeling iterations to find the model that brings the most value.
Model Deployment & Execution
The faster your models go out, the more value they bring in.
Moving analytical models from creation into production can be resource-intensive. But it's crucial to deploy them as quickly as possible to reap the benefits. With SAS, you can:
- Reduce data movement and ensure data governance. Score data inside Hadoop instead of moving it. Avoid data latency and replication.
- Streamline model deployment. Execute your model-scoring processes within Hadoop to avoid manual processing errors and get quicker results.
- Enhance the productivity of IT and analytic teams. Faster automated deployment frees your analytics team to focus on developing more models and lets IT focus on strategic projects.
- In-Hadoop scoring. The ability to score data in Hadoop allows you to quickly put insights into action.
- Operationalized analytics. Model deployment is a crucial step to gaining value from your analytical work. We've automated the process so you can put more models into production faster.
- Ability to 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.
For the Data Scientist
Get 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. Data management. Exploration. Model building. Deployment. 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 time to 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 is 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.
Big data – who leads the initiative? Where does it fit within an organization? How will you manage the project? Find out how 20 companies tackle big data.
What people are saying
Cloudera CEO Tom Reilly discusses the new Enterprise Data Hub offering. He explains how it works with Hadoop, how it creates a single repository of full-history and full-fidelity data, and how it exposes that data to all users interested in exploratory analytics.
Shaun Connolly, Vice President of Corporate Strategy at Hortonworks, explains how companies can incorporate Hadoop into their data analytics streams.
451 Research discusses SAS' big data strategy. Learn more.
"This is an era of visualization, so we should provide ranking officers and board members with eye-catching tables and charts that help them quickly grasp the meaning of the data provided and make informed decisions."
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