Examples of using Apache hadoop in English and their translations into German
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Use of Apache Hadoop for Big Data Analytics.
Driving a True Customer 360 with Apache Hadoop.
Apache Hadoop Tutorial|… 1 year ago, 1,567 views, 0 comments.
Build big data applications on Apache Hadoop with the latest open source tools.
ORC is a self-describing type-aware columnar file format designed for Apache Hadoop.
Apache Hadoop- open source distributed system for processing large datasets based on simple algorithms.
HBasePumper for Oracle and Apache Hadoop/HBase- Query and manage NoSQL Big Data databases.
You can also run BigData applications from companies like Cloudera including the Apache Hadoop software library.
Apache Hadoop, MapReduce, Spark and Storm are forming an analytics foundation so firms can analyze more data faster than ever before.
The Hortonworks DataPlatform is an 100% Open Source Apache Hadoop Distribution and comes with the following components.
ApacheTM Avro is widely used for a compact, fast, binary serialization of Big Data,most often used within the Apache Hadoop software framework.
Put your data scientists to work with Apache Hadoop® datalake, pre-integrated and tested on the latest HPE technology.
We develop with Python, Javascript, Java, C and for the platforms webapp2, jQuery, Zope2, J2EE,POSIX, Apache Hadoop, Apache Jena, Google Web Toolkit GWT.
GFT's solution, based on Apache Hadoop and other Open Source components, brings all of the required data together in an inexpensive product.
With the Lenovo Big Data Validated Design for Cloudera Enterprise,Lenovo delivers a certified solution for both Apache Hadoop and Apache Spark environments.
Big data analytics and machine learning workloads with Apache Hadoop and Apache Spark also run reliably and fast on SUSE Linux Enterprise.
In addition to Apache Hadoop, the Big Data Lab is equipped with other big data technologies such as Apache Spark and Apache Storm on its computer clusters.
Not only has the cost of data storage dropped considerably,open source technology like Apache Hadoop has made it possible to store any volume of data at costs approaching zero.
The platform includes various Apache Hadoop projects including the Hadoop Distributed File System, MapReduce, Pig, Hive, HBase and Zookeeper and additional components.
Amazon EMR- Makes it easy, fast, and cost-effective for you to distribute and process vast amounts of data across Amazon EC2 servers, using a framework such as Apache Hadoop or Apache Spark.
This means your team can start working with Apache Hadoop, Apache Spark, Spark Streaming, and NoSQL databases, for cloud or on-premises today.
DIL follows an open source strategy and has strong expertise in applying tools and frameworks such as R, SciKit Learn, Tensorflow, Keras, Apache Spark,Apache Cassandra and Apache Hadoop.
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.
The experts at GFThave developed a scalable solution based on the Apache Hadoop platform that can scrutinise over 60 million data records for suspicious similarities in seconds.
We focus on Apache Hadoop& emerging data technologies, providing human and digital services to help enable our customers to succeed with their Big Data efforts.
Besides the aforementioned Duplicity, an increasing number of modern applications can make use of object storage directly,such as Apache Hadoop or various content management systems such as Drupal and Wordpress.
Architectures like Apache Hadoop let companies store data at massive scale in full atomic format, providing data points for initial machine learning and training.
Matt Aslett, Research Director, 451 Research states,"With Informatica Big Data Management v10 the company already delivered a single platform for integration, quality, governance, metadata management and security of big data, based on Blaze, a YARN-native high-performance executionengine for complex batch processing of data in Apache Hadoop.
Watch this on-demand webinar to see how a data lake, powered by Apache Hadoop, combined with a unified integration platform can eliminate blind spots and drive a true customer 360 view.
ELT has been around for a while, but gained renewed interest with tools like Apache Hadoop, a framework for distributing and processing large workloads across a few-or many thousand-work nodes for parallel processing.