Apache ORC
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Data Lake ingestion best practices
Categories: Big Data, Data Engineering | Tags: Avro, Hive, NiFi, ORC, Spark, Data Lake, File Format, Data Governance, HDF, Operation, Protocol Buffers, Registry, Schema
Creating a Data Lake requires rigor and experience. Here are some good practices around data ingestion both for batch and stream architectures that we recommend and implement with our customers…
By David WORMS
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What's new in Apache Spark 2.3?
Categories: Data Engineering, DataWorks Summit 2018 | Tags: Arrow, ORC, Spark, Spark MLlib, PySpark, Docker, Kubernetes, Streaming, Tuning, pandas
Let’s dive into the new features offered by the 2.3 distribution of Apache Spark. This article is a composition of the following talks seen at the DataWorks Summit 2018 and additional research: Apache…
May 23, 2018
Essential questions about Time Series
Categories: Big Data | Tags: Druid, HBase, Hive, ORC, Elasticsearch, Graphana, IOT
Today, the bulk of Big Data is temporal. We see it in the media and among our customers: smart meters, banking transactions, smart factories, connected vehicles … IoT and Big Data go hand in hand. We…
By David WORMS
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HDFS and Hive storage - comparing file formats and compression methods
Categories: Big Data | Tags: Analytics, HBase, HDFS, Hive, ORC, Parquet, File Format
A few days ago, we have conducted a test in order to compare various Hive file formats and compression methods. Among those file formats, some are native to HDFS and apply to all Hadoop users. The…
By David WORMS
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Two Hive UDAF to convert an aggregation to a map
Categories: Data Engineering | Tags: Analytics, HDFS, Hive, ORC, Parquet
I am publishing two new Hive UDAF to help with maps in Apache Hive. The source code is available on GitHub in two Java classes: “UDAFToMap” and “UDAFToOrderedMap” or you can download the jar file. The…
By David WORMS
Mar 6, 2012