Powerful, Flexible and Accessible Code-free Data Science

Data Science Central

As the demand for data science expertise grows, so does the need for tools that deliver flexibility, speed, and ease of use. Organizations need solutions that can access several data types such as Big Data; offer a vast library of algorithms, including the most popular open source methods; and are accessible to expert coders and non-coders alike. Join us for this latest Data Science Central Webinar to learn more about the newest IBM SPSS Modeler capabilities, such as: Python algorithms for non-coders to provide greater analytical power and flexibility. Seamless integration with IBM Decision Optimization to help you determine the best scenarios for your business and budget
Watch Now

Spotlight

New and exciting technologies, tools, development methods, big data sources, and best practices collectively called emerging technologies and methods (ETMs) are changing the fields of enterprises’ business intelligence, analytics, data warehousing, and data management. In the recent TDWI Best Practices Report Emerging Technologies For Business Intelligence, Analytics, and Data Warehousing, we explore what’s hot and what enterprises are planning to use. Here are several of the key survey results.


OTHER ON-DEMAND WEBINARS

How Quotient's Data Leader Drove a BI on Hadoop Evolution

AtScale

As a leading site in the highly transactional online offers market, Quotient (aka Coupons.com) processes millions, and stores billions, of transactions daily. Immediate insight into what, when, and how those transactions take place is key to maintaining customer happiness and a competitive edge.How did Quotient innovate in the face of exploding data, while enhancing the value of existing investments in BI tools and skillsets? According to Eric Sit, Quotient’s Director of BI and Data Platforms, the key was starting a BI on Hadoop evolution.
Watch Now

Deep Learning for Natural Language Processing

SAS

Ever wondered what deep learning is, or how its techniques are being applied to natural language processing?Curious about what dog training and natural language processing have in common?If the answer is yes to either of these questions, you’ll want to watch this on-demand webinar and learn more about the work SAS and North Carolina State University are doing in this important arena.
Watch Now

Apache Spark Empowering the Real-time, Data Driven Enterprise: The De Facto Choice for Stream Processing and Machine Learning

Impetus

Apache Spark is one of the most popular Big Data frameworks today. It is fast becoming the de facto technology choice for stream processing, real-time analytics, data science and machine learning applications at scale. It has moved well beyond the early-adopter phase, is supported by a vibrant open source community and is enjoying accelerated adoption in enterprises.
Watch Now

How Columnar Databases Support Modern Analytics

MariaDB

The increased requirements of modern analytical workloads – querying billions of rows on demand, in real time and in unforeseen ways – is a challenge for traditional databases because they’re optimized for transactional workloads (e.g., point and range queries with indexes). A transactional query may return every column in a single row whereas an analytical query may aggregate a single column in every row. Thus, it is far more efficient to store data by column rather than by row. In addition, the use of distributed data and massively parallel processing enables columnar databases to support scalable, high-performance analytics.
Watch Now

Spotlight

New and exciting technologies, tools, development methods, big data sources, and best practices collectively called emerging technologies and methods (ETMs) are changing the fields of enterprises’ business intelligence, analytics, data warehousing, and data management. In the recent TDWI Best Practices Report Emerging Technologies For Business Intelligence, Analytics, and Data Warehousing, we explore what’s hot and what enterprises are planning to use. Here are several of the key survey results.

resources