Hadoop Matters Blog
Big Industries' blog
Posted by
Matthias Vallaey on Mar 23, 2020 3:32:28 PM
Posted by
Matthias Vallaey on Oct 16, 2018 2:48:34 PM
A Data Engineer conceives, builds and maintains the data infrastructure that holds your enterprise's BI and Advanced Analytics capacities together. These are the capacities that allow your enterprise to leverage the multiple, disconnected streams of data into rational, data-driven decisions and customer engagement.
Posted by
Matthias Vallaey on Sep 4, 2017 4:17:21 PM
Posted by
Emre Sevinç on Apr 3, 2017 1:49:36 PM
Posted by
Robert Gibbon on Mar 15, 2017 11:36:56 AM
Page 1 of 1
Subscribe to Email Updates
Contact Us!
Lists by Topic
- Data Engineering (13)
- Big Industries Academy (10)
- Big Data Architecture (9)
- hadoop (9)
- Data Lakes and Analytics on AWS (8)
- AWS (7)
- Big Data (7)
- Big Data on AWS (6)
- cloudera (6)
- Cloud Computing (5)
- Cronos (5)
- Data Lake (5)
- Feed the family Feel (5)
- StreamSets (5)
- apache (5)
- apache kafka (5)
- big industries (5)
- devops (5)
- spark (5)
- Cloud (4)
- Cloud Data Lake (4)
- Cloudera training tapas (4)
- Confluent (4)
- Dare to Grow (4)
- Datalake Devops Best Practices (4)
- big data processing (4)
- concepts (4)
- internships (4)
- share your wisdom (4)
- AWS Cloud (3)
- Amazon (3)
- Apache Spark (3)
- Big Data Reference Architecture (3)
- Cloudera in the Cloud (3)
- Data (3)
- Data Science (3)
- Hack The Future (3)
- Hadoop Backend (3)
- Hadoop Projects (3)
- Job Opening (3)
- Kafka Cluster (3)
- Your partner for Data Lakes and Analytics (3)
- big data skills (3)
- hive (3)
- kafka (3)
- real-time streaming data (3)
- streaming (3)
- AWS S3 (2)
- Altus (2)
- Azure (2)
- Azure Data Lake (2)
- Azure Marketplace Cloudera (2)
- Big Data Hackathon (2)
- Big Data on Azure (2)
- Cloudera Altus (2)
- Cloudera Back up and Disaster Recovery (2)
- Cloudera CDP (2)
- Cloudera Director (2)
- Cloudera Manager (2)
- Cloudera on Azure (2)
- Cloudera on Azure Deployment Options (2)
- Customer Case (2)
- Data Driven Applications (2)
- Data Stream Processing (2)
- Distributed streaming platform (2)
- Enterprise Architecture (2)
- GDPR (2)
- Hack the future 2017 (2)
- Hortonworks (2)
- MAPR (2)
- Managing Servers in the Cloud (2)
- New Hire (2)
- NoSQL (2)
- Python (2)
- SQL (2)
- Scala (2)
- SparkSQL (2)
- Streaming Data on AWS (2)
- Streamsets partnership (2)
- analytics (2)
- big industries DNA (2)
- cloudera navigator (2)
- cloudera navigator optimizer (2)
- cloudera user group belgium (2)
- cronos group (2)
- cybersecurity (2)
- data integration (2)
- data science workbench (2)
- flume (2)
- impala (2)
- kubernetes (2)
- meetup (2)
- mesos (2)
- microsoft azure (2)
- spark use cases (2)
- stage opdracht (2)
- streaming data (2)
- #Techorama (1)
- API (1)
- AWS Eventbridge (1)
- AWS Lambda (1)
- AWS SES (1)
- AWS VPC (1)
- Amazon Web Services (1)
- Amr Awadallah (1)
- Apache Cassandra (1)
- Apache Hive (1)
- Apache Software Foundation (1)
- Apache Zeppelin (1)
- Artificial Intelligence (1)
- BA4ALL (1)
- BDR (1)
- Big Data and GDPR (1)
- Big Industries Big Meetup (1)
- Big data use cases (1)
- CDH (1)
- CQL (1)
- Cassandra Query Language (1)
- Cloud Event (1)
- Cloudera CDF (1)
- Cloudera Data Science Workbench (1)
- Cloudera Fast Forward Labs (1)
- Cloudera IPO (1)
- Cloudera Sessions (1)
- Cloudera and GDPR (1)
- Cloudera market push (1)
- Cloudera on AWS (1)
- Cloudformation (1)
- Customer Insight (1)
- Customer Testimonial (1)
- Customer churn (1)
- Customer testimonials (1)
- DCOS (1)
- Data Intensive Applications (1)
- Data Modeling (1)
- Data Sources (1)
- Data wrangling (1)
- Datastax (1)
- Datastax Spark Cassandra Connector (1)
- Datawarehouse load and optimization (1)
- Developer (1)
- Document stores (1)
- EMR (1)
- ETL (1)
- Eben Hewitt (1)
- Enterprise Data Hub (1)
- HAProxy (1)
- HTF (1)
- Hackathon (1)
- Hadoop Adoption (1)
- Hadoop web applications (1)
- Hadoopable problems (1)
- IaaS (1)
- Information Security (1)
- Information Silos (1)
- Infrastructure as a service (1)
- Infrastructure as code (1)
- Jeff Carpenter (1)
- Kafka Meetup (1)
- Kinesis (1)
- Kudu (1)
- Lambda (1)
- Lamot (1)
- Linux (1)
- MLlib (1)
- MNIST Data (1)
- Mars (1)
- Martin Kleppmann (1)
- Messaging (1)
- MongoDb (1)
- Navigator and GDPR (1)
- NewSQL (1)
- NoSQL Database (1)
- O'Reilly books (1)
- Online Search (1)
- Online ads (1)
- Operational excellence (1)
- PIG (1)
- PaaS (1)
- Plantatree (1)
- Platform as a service (1)
- Pydoop (1)
- Qlik (1)
- Qlik and Cloudera (1)
- R (1)
- Realtime (1)
- Risk (1)
- S3 (1)
- SAI (1)
- Search (1)
- Sensor data (1)
- Software Automation (1)
- Spark Streaming (1)
- Spark adoption (1)
- Spark market survey (1)
- Streamprocessing.be (1)
- StringIO (1)
- Tableau desktop (1)
- Telecom operator (1)
- Tensorflow (1)
- Tensorflow on Hadoop (1)
- Trifacta (1)
- Unix (1)
- Use Case (1)
- Utility outages (1)
- Vlaams Energie Bedrijf (1)
- algorithms (1)
- analogue.cloud (1)
- apache kudu (1)
- aws partnership (1)
- belgie (1)
- belgium (1)
- business intelligence (1)
- cStringIO (1)
- career opportunity (1)
- cassandra (1)
- click fraud (1)
- cloudera user group meetup (1)
- cognitive (1)
- column oriented data stores (1)
- customer retention (1)
- data collector (1)
- data correlation (1)
- data governance (1)
- data lineage (1)
- data models (1)
- data pipelines (1)
- datameer (1)
- distributed systems (1)
- docker (1)
- doug cutting (1)
- emre sevinç (1)
- energy production (1)
- exploratory data science (1)
- human brain (1)
- log files (1)
- machine learning (1)
- mapreduce (1)
- messaging systems (1)
- online (1)
- online email provider (1)
- online retail (1)
- open source (1)
- pattern recognition (1)
- predictive analytics (1)
- project terra (1)
- realtime stream processing (1)
- robert gibbon (1)
- sensitive data (1)
- stage (1)
- talks (1)
- targeting advertisement (1)
- training (1)
- twitter (1)
- user group (1)
- workshop (1)