Database

Related articles

Architecture of object-based storage and S3 standard specifications

Architecture of object-based storage and S3 standard specifications

Categories: Big Data, Data Governance | Tags: Database, API, Amazon S3, Big Data, Data Lake, Storage

Object storage has been growing in popularity among data storage architectures. Compared to file systems and block storage, object storage faces no limitations when handling petabytes of data. By…

Luka BIGOT

By Luka BIGOT

Jun 20, 2022

Apache HBase: RegionServers co-location

Apache HBase: RegionServers co-location

Categories: Big Data, Adaltas Summit 2021, Infrastructure | Tags: Ambari, Database, Infrastructure, Tuning, Hadoop, HBase, Big Data, HDP, Storage

RegionServers are the processes that manage the storage and retrieval of data in Apache HBase, the non-relational column-oriented database in Apache Hadoop. It is through their daemons that any CRUD…

Pierre BERLAND

By Pierre BERLAND

Feb 22, 2022

Bridging the DBnomics Swagger/OpenAPI schema with GraphQL

Bridging the DBnomics Swagger/OpenAPI schema with GraphQL

Categories: DevOps & SRE, Front End | Tags: Data Engineering, JAMstack, GraphQL, JavaScript, Node.js, REST, Schema

While redacting a long and fastidious document today, I came across DBnomics, an open platform federating economic datasets. Browsing its website and APIs, I found their OpenAPI schema (aka Swagger…

David WORMS

By David WORMS

Apr 8, 2021

Download datasets into HDFS and Hive

Download datasets into HDFS and Hive

Categories: Big Data, Data Engineering | Tags: Business intelligence, Data Engineering, Data structures, Database, Hadoop, HDFS, Hive, Big Data, Data Analytics, Data Lake, Data lakehouse, Data Warehouse

Introduction Nowadays, the analysis of large amounts of data is becoming more and more possible thanks to Big data technology (Hadoop, Spark,…). This explains the explosion of the data volume and the…

Aida NGOM

By Aida NGOM

Jul 31, 2020

Comparison of different file formats in Big Data

Comparison of different file formats in Big Data

Categories: Big Data, Data Engineering | Tags: Business intelligence, Data structures, Avro, HDFS, ORC, Parquet, Batch processing, Big Data, CSV, JavaScript Object Notation (JSON), Kubernetes, Protocol Buffers

In data processing, there are different types of files formats to store your data sets. Each format has its own pros and cons depending upon the use cases and exists to serve one or several purposes…

Aida NGOM

By Aida NGOM

Jul 23, 2020

CodaLab – Data Science competitions

CodaLab – Data Science competitions

Categories: Data Science, Adaltas Summit 2018, Learning | Tags: Database, Infrastructure, Machine Learning, MySQL, Node.js, Python

CodaLab Competition is a platform for code execution in the field of Data Science. It is a web interface on which a user can submit code or results and compare themselves to others. Let’s see how it…

Robert Walid SOARES

By Robert Walid SOARES

Dec 17, 2018

Yahoo's Vespa Engine

Yahoo's Vespa Engine

Categories: Tech Radar | Tags: Database, Tools, Elasticsearch, Search Engine

Vespa is Yahoo’s fully autonomous and self-sufficient big data processing and serving engine. It aims at serving results of queries on huge amounts of data in real time. An example of this would be…

Arthur BUSSER

By Arthur BUSSER

Oct 16, 2017

MariaDB integration with Hadoop

MariaDB integration with Hadoop

Categories: Infrastructure | Tags: Database, HA, MariaDB, Hadoop, Hive

During a workshop with one of our customers, Adaltas has identified a potential risk to use MariaDB’s High Availability (HA) strategy. Since the customer selected Cloudera’s CDH 5 distribution, the…

David WORMS

By David WORMS

Jul 31, 2017

Managing authorizations with Apache Sentry

Managing authorizations with Apache Sentry

Categories: Data Governance | Tags: Hue, Database, LDAP, Nikita, Sentry, Ansible, CDH, Deployment

Apache Sentry is a system for enforcing fine grained role based authorization to data and metadata stored on a Hadoop cluster. With this article, we will show you how we are using Apache Sentry at…

Axel JACQIN

By Axel JACQIN

Jul 24, 2017

Hive, Calcite and Druid

Hive, Calcite and Druid

Categories: Big Data | Tags: Business intelligence, Database, Druid, Hadoop, Hive

BI/OLAP requires interactive visualization of complex data streams: Real time bidding events User activity streams Voice call logs Network trafic flows Firewall events Application KPIs Traditionnal…

David WORMS

By David WORMS

Jul 14, 2016

Testing the Oracle SQL Connector for Hadoop HDFS

Testing the Oracle SQL Connector for Hadoop HDFS

Categories: Data Engineering | Tags: Database, File system, Oracle, HDFS, CDH, SQL

Using Oracle SQL Connector for HDFS, you can use Oracle Database to access and analyze data residing in HDFS files or a Hive table. You can also query and join data in HDFS or a Hive table with other…

David WORMS

By David WORMS

Jul 15, 2013

Options to connect and integrate Hadoop with Oracle

Options to connect and integrate Hadoop with Oracle

Categories: Data Engineering | Tags: Database, Java, Oracle, R, RDBMS, Avro, HDFS, Hive, MapReduce, Sqoop, NoSQL, SQL

I will list the different tools and libraries available to us developers in order to integrate Oracle and Hadoop. The Oracle SQL Connector for HDFS described below is covered in a follow up article…

David WORMS

By David WORMS

May 15, 2013

Installing and using MADlib with PostgreSQL on OSX

Installing and using MADlib with PostgreSQL on OSX

Categories: Data Science | Tags: Database, Greenplum, Statistics, PostgreSQL, SQL

We cover basic installation and usage of PostgreSQL and MADlib on OSX and Ubuntu. Instructions for other environments should be similar. PostgreSQL is an Open Source database with enterprise…

David WORMS

By David WORMS

Jul 7, 2012

Canada - Morocco - France

We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Science…

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.

Support Ukrain