Monthly Archives: January 2018

Home » Archives for January 2018

Spark SQL 

By | 2019-06-20T13:02:47+00:00 January 31st, 2018|SparkSQL, Technologies|

Apache Spark is a lightning-fast cluster computing framework designed for fast computation. It is of the most successful projects in the Apache Software Foundation. Spark SQL is a new module in Spark which integrates relational processing with [...]

Apache Hive 

By | 2018-08-01T12:52:59+00:00 January 31st, 2018|Apache Hive, Technologies|

The Apache Hive™ data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage and queried using SQL syntax. Built on top of Apache Hadoop™, Hive provides the following features: Tools to enable easy [...]

Apache Mahout 

By | 2019-06-20T13:12:29+00:00 January 31st, 2018|Apache Mahout, Technologies|

Apache™ Mahout is a library of scalable machine-learning algorithms, implemented on top of Apache Hadoop®  and using the MapReduce paradigm. Machine learning is a discipline of artificial intelligence focused on enabling machines to learn [...]

Apache Flink

By | 2019-06-18T13:26:21+00:00 January 31st, 2018|Apache Flink, Technologies|

Introduction to Apache Flink® Below is a high-level overview of Apache Flink and stream processing. Continuous Processing for Unbounded Datasets Features: Why Flink? Flink, the streaming model, and bounded datasets The “What”: Flink from [...]

Apache ZooKeeper

By | 2019-06-19T12:46:28+00:00 January 31st, 2018|Apache ZooKeeper, Technologies|

Apache ZooKeeper Apache ZooKeeper is a distributed, open-source coordination service for distributed applications. It exposes a simple set of primitives that distributed applications can build upon to implement higher level services for synchronization, configuration [...]

Cloudera Impala 

By | 2018-08-01T12:58:52+00:00 January 31st, 2018|Cloudera Impala, Technologies|

Cloudera Impala provides fast, interactive SQL queries directly on your Apache Hadoop data stored in HDFS or HBase. In addition to using the same unified storage platform, Impala also uses the same metadata, SQL [...]

Apache Kafka

By | 2018-08-01T13:00:04+00:00 January 30th, 2018|Apache Kafka, Technologies|

We think of a streaming platform as having three key capabilities: It lets you publish and subscribe to streams of records. In this respect it is similar to a message queue or enterprise messaging [...]

Apache Flume

By | 2018-08-01T13:01:09+00:00 January 30th, 2018|Apache Flume, Technologies|

Apache Flume is a distributed, reliable, and available system for efficiently collecting, aggregating and moving large amounts of log data from many different sources to a centralized data store. The use of Apache Flume [...]

Apache Spark 

By | 2018-08-01T13:02:14+00:00 January 30th, 2018|Apache Spark, Technologies|

Apache Spark is a fast and general engine for large-scale data processing. Speed Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk. Apache Spark has an advanced DAG [...]

Apache Pig

By | 2019-06-19T11:48:10+00:00 January 30th, 2018|Apache Pig, Technologies|

Apache Pig is a high-level language platform developed to execute queries on huge datasets that are stored in HDFS using Apache Hadoop. It is similar to SQL query language but applied on a larger [...]

Load More Posts
CONTACT US