Waterline Data Science Announces Product to Make Hadoop Consumable by Business Analysts and Data Scientists
Waterline Data Science has announced the launch of Waterline Data Inventory to enable data self-service on Hadoop, allowing users to find, understand, and help govern Hadoop data.
Feedzai, a data science company that uses real-time, machine-based learning to analyze big data to make commerce safe, and DataStax, the company that delivers Apache Cassandra to the enterprise, today announced a commercial partnership under which Feedzai is now part of the DataStax Partner Network.
This article is the fifth and last in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of business decisions, and use the insight to increase customer satisfaction and sales performance.
In this special guest feature, Shahbaz Ali of Tarmin takes a look at the commoditization of data and how aggregated data has evolved to the extent of being so crucial and proprietary that its value is unparalleled and irreplaceable to the organization. [Read More...]
“The Hadoop MapReduce framework grew out of an effort to make it easy to express and parallelize simple computations that were routinely performed at Google. It wasn’t long before libraries, like Apache Mahout, were developed to enable matrix factorization, clustering, regression, and other more complex analyses on Hadoop. Now, many of these libraries and their workloads are migrating to Apache Spark because it supports a wider class of applications than MapReduce and is more appropriate for iterative algorithms, interactive processing, and streaming applications.” [Read More...]
All Recent News
- Big Data Start-up Cognitive Scale Emerges from Stealth
- Waterline Data Science Announces Product to Make Hadoop Consumable by Business Analysts and Data Scientists
- Feedzai Partners with Datastax for Real-Time Fraud Analysis
- Sumo Logic Launches Transaction Analytics to Transform How Companies Learn from Business Events
- GridGain In-Memory Data Fabric
- SAS Survey: Finding the Right Balance Between Personalization and Privacy
- Data Science 101: Data Agnosticism – Feature Engineering Without Domain Expertise