So you want to enter the data science field, or maybe you are already a data scientist looking to expand your horizons. Several routes into the profession can provide the core skills, knowledge and best practices necessary to become a developer in the era of cognitive computing. And events such as
Apache Spark is exploding as a worldwide phenomenon since its origin in the Silicon Valley area of California. Find out just who widespread its adoption has grown in a survey of global examples, a wide array of community participations and upcoming event opportunities.
No one keeps a weather eye like the property and casualty industry does. In their incessant quest to mitigate and prevent natural disasters, insurance providers can be among the chief beneficiaries of weather analytics, gauging weather-related risks to protect insured assets and avoid incurring
Why is Spark so badly needed by the data science community? Primarily, it offers an open platform for fast, powerful data access that is vital for organizations because they are increasingly using a wide variety of technologies to deliver analytics, and they are tied to a variety of workloads.
As a strategic sponsor, IBM was represented in full force at Strata + Hadoop World 2015 in New York, New York. Day one proved to be a buzz of activity that included IBM data science experts getting a hands-on lab course on practical data science underway, IBM spokespeople discussing offerings and
Weather’s power over us is undeniable. But now big data analytics can help enterprises take advantage of forecasts to anticipate how the weather is going to influence consumers, and then measure, monitor, predict and execute strategy against a nonstop flow of weather data.
Data scientists may be of a different breed from other analytics team members, but they are essential for bringing to the table curiosity about data and an unquenchable thirst for finding patterns and relationships in that data. Discover how combining the roles of data scientist, business analyst,
As one principle of the buffalo theory demonstrates, open source projects are applying a process of natural selection through the manner in which they tackle performance bottlenecks and other obstacles that can prevent further technological advancement. By continually identifying and addressing the
Why are people talking about Apache Spark? It’s because many organizations are using the myriad features of this open source engine to boost their predictive analytics processing. The result? Better, deeper and faster data analyses with reduced coding time and effort.
While some observers may argue that Apache Spark is causing the relevance of the Apache Hadoop community to wane, the fact of the matter is innovative Spark development depends on Hadoop platforms. Discover why Hadoop is stronger than ever as an open source information refinery that is expected to
For startups that want to thrive, leveraging data science is imperative. However, it has been difficult to do so because fragmented data science approaches have prevented integration of data analysis into applications. But now Apache Spark brings together the data science workflow to enable cross-
Although weather is one of the most significant influences on business performance in a wide array of industries, it is also one of the least predictable. Join us at “Hack the Weather” to learn how smart data applications could usher in the next stage of meteorological forecasting.
Using Apache Spark, we built an end-to-end fingerprinting tool to identify matching candidates among two independent data sets, calculating a similarity score and solving the stable marriage problem. Integration with a graphical environment not only saved us time, but also allowed us to easily