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Cloudera's a data warehouse player now
I think Olson knew he was preaching to the converted as he told me how inefficient and insufficient MapReduce-based computing was for the Enterprise. The answer, he said, was Impala, a Hive-compatible ... read more
Kafka Hadoop Integration
Basically, it works on the principle of the MapReduce framework, which is introduced by Google. It offers a simple interface for the parallelization as well as the distribution of large-scale ... read more
DataOps comes to the cloud
Features include development automation through a fully-featured dataflow designer that includes 'easy button'connectors for Amazon S3, Elastic MapReduce (EMR) and RedShift; Azure Data Lake ... read more
The top 10 big data frameworks used in the enterprise
Spark, HBase, Presto, Kafka, Impala, Flink, and homegrown approaches all rose in popularity in 2018, while Hive, MapReduce, Storm, and Pig all dropped in usage. Businesses may be prioritizing big data ... read more
LinkedIn open sources TonY, its framework to run TensorFlow on Hadoop
The core idea is to run TensorFlow jobs as reliably and flexibly as other first-class citizens on Hadoop including MapReduce and Spark, LinkedIn said. "We wanted a flexible and sustainable way to brid... read more
Google’s MapReduce patent: what does it mean for Hadoop?
The USPTO awarded search giant Google a software method patent that covers the principle of distributed MapReduce, a strategy for parallel processing that is used by the search giant. If Google choose... read more
Hortonworks: The Elephants Are Roaring Back!
There are 4 main modules in the Hadoop offering which include a distributed file system, something called MapReduce which reads data and arranges in in a format suitable for analysis, and then ... read more
Data and containers and the keys to success
As big data evolved, the analytics tools graduated from custom code like MapReduce, Hive, and Pig to tools like Spark, Python, and Tensorflow, which made analysis easier. With these newer tools ... read more
Social Business Intelligence Market Revenue from Worldwide Deployment. Rising at a CAGR of 6% from 2016 to 2026
This is a welcome trend in the global social business intelligence market. Furthermore, the introduction of YARN and MapReduce has substantially expanded the capabilities of Hadoop, thereby creating l... read more
Do THIS Not THAT for Modern BI: Query Data in Place, Don't Have Copies All Over
But then new problems evolved. The first generation of big databases were developed for batch processing (think MapReduce). It took a while to find ways to quickly query big databases. Approaches ... read more
A Beginner’s Guide to NPM Packages
Some new ES6 features can now be used instead of lodash, such as map, reduce, and filter. However, lodash still remains very popular with about 14 million weekly npm downloads. Let’s explore a ... read more
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MapReduce vs. SQL: It's Not One or the Other
I think MapReduce (and its variants, like Hadoop) have received a lot of unnecessary adoration thanks to the fervor over cloud computing. Some people, it seems, associated Google, Yahoo (s yhoo) and t... read more
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