Big Data and Artificial Intelligence

Work with large volumes of data.

Big Data and Artificial Intelligence

Work with large volumes of data.

What is the big data

Big Data is a concept that has emerged in recent years. Hadoop technologies have given the usual systems of Business Intelligence , analytics and artificial intelligence, the ability to work with very large volumes of data that generate new possibilities in organizations.

With advanced analytics, machine learning and artificial intelligence, NexTReT enables its clients to obtain information to help optimize operations, drive innovation and deliver value to their business.

How do we apply it?

Smart decisions based on millions of data

Big Data is a concept that has emerged in recent years. Hadoop technologies have given the usual systems of Business Intelligence, analytics and artificial intelligence, the ability to work with very large volumes of data that generate new possibilities in organizations.

NexTReT enables companies, and especially IT departments, to successfully adopt standard Big Data technologies to their environments thanks to new applications, data analysis, Data Warehouse or ETL optimization or even the construction of an Enterprise Data Hub. In this way, a framework based on a new technology is enabled that responds to new business demands, but also to the evolution of traditional business data environments.

We work with data to obtain valuable information for our clients, with machine learning and artificial intelligence techniques.

Some cases:

  • The massive collection of audience data or user behavior in real time to create analytical information and recommendations based on consumption.
  • Massive machine data collection (IoT) to display dashboards, KPIs, and trend and anomaly information.
  • Advanced data segmentation.
  • Detection of failures, fraud, security, etc.
  • Price optimization
  • Real-time analytics
  • Search engines
  • Recommenders
  • Text analysis
  • Image recognition

Big Data

Design of architectures based on Hadoop (Cloudera and Hortonworks distributions), Kafka, Spark, Flink, Kudu, Stack ELK (Elasticsearch, Logstash and Kibana).

Artificial Intelligence

Machine Learning & Deep Learning (Keras / Tensorflow, PySpark, MLSpark) Natural Language Processing (Spacy, NLTK), Image Analysis (OpenCV, Amazon Rekognition), Unsupervised Analysis / Clusterization (KNN, K-Means) and Supervised (RandomForest), SVM, Neural Networks).

Infraestructure

Deployment, management and maintenance of Big Data solutions On-Premise and in the cloud (Azure, AWS and Google Cloud). Comprehensive management of Data Centers with hardware and software from the most important manufacturers on the market.

Development

Advanced programming in Java, Python, Scala and R for Big Data and Artificial Intelligence solutions combined with tools such as Anaconda and Jupyter