Data

WITH AN INCREASING RELEVANCE OF DATA, DATA ANALYTICS AND DATA MANAGEMENT, PROFESSIONALS WITHIN THE DATA SPACE ARE FACING A LOT OF CHALLENGES

Which database is the most reliable and offers the best value for money? How do we ensure continuous availability and high-availability and data security? We know the specialists that will help you to tackle these challenges.

CATEGORIES & FOCUS

• RDBMS (Oracle, MS SQL, Sybase, MySQL, PostgreSQL, DB2, Informix, MariaDB)
• Business Intelligence (OLAP, Reporting, Data mining, DWH, Cognos, Microsoft BI, MicroStrategy, OBIEE, Pentaho, QlikView, SAS BI, Tableau)
• Big Data (Hadoop, Spark, PySpark, MapReduce, Hive, Hbase, Pig, Flume, Impala, Storm, YARN, Redshift, Chukra, ZooKeeper)
• NoSQL (MongoDB, Cassandra, HBase, Redis, CouchDB, OrientDB)
• Languages (Python, Scala, Java, R, C/C#/C++, F#)
• Messaging (Kafka, ActiveMQ, RabbitMQ, Service Bus)
• AI/ Machine Learning