Posts published in “DataOps”

Cloud Analytics: Utilizing Composable to turn your organization into a Data-Driven Company

Published September 16, 2016 by Andy Vidan

Cloud Analytics: Utilizing Composable to turn your organization into a Data-Driven Company

Major transformations are shaping the global economy, and it is now clear that organizations with the resources and know-how to leverage the large volume of both internal and external data…

Hadoop is Dead. DataFlow is Alive!

Published September 27, 2014 by Lars Fiedler

Hadoop is Dead. DataFlow is Alive!

We’ve given Hadoop almost 10 years to mature, invested billions, and very few companies are seeing the return on investment. Several companies have tried to make Hadoop a real-time analytical…

Leverage existing Hadoop cluster with CA

Published August 10, 2014 by Lars Fiedler

Leverage existing Hadoop cluster with CA

With the Hive ODBC driver and Composable Analytics, users can perform ad-hoc queries on their data living in the HDFS. Hive will take a sql-like query and translate it into…

Want to analyze Twitter data?

Published August 10, 2014 by Lars Fiedler

Want to analyze Twitter data?

Twitter analysis typically starts with grabbing a bunch of tweets via Twitter’s REST API. Fortunately this is easy to do with Composable Analytics. Just use the Twitter Search module, and…

First hand experience from Uber, Microsoft, Delivery Hero & more – at PAW London
Top practitioners are coming to PAW London, 16-17 Oct 2019, to describe the design, deployment and business impact of their machine learning projects. Register using code KDNUGGETS for a 15% discount on your Predictive Analytics World ticket.
McKinsey: Data Engineer [Wroclaw, Poland]
McKinsey is seeking a Data Engineer in Wroclaw, Poland, to enable effective, highly scalable data analysis pipelines and play a critical role in database design, development, data integration and ingestion, as well as designing ETL architectures using a variety of ETL tools and techniques.
McKinsey: Data Scientist [Wroclaw, Poland]
McKinsey is seeking a Data Scientist in Wroclaw, Poland, to work with McKinsey clients and consulting teams to carry out complex data analysis and modeling, creating a foundation for sound recommendations for client studies and internal projects.
Scaling a Massive State-of-the-art Deep Learning Model in Production
A new NLP text writing app based on OpenAI's GPT-2 aims to write with you -- whenever you ask. Find out how the developers setup and deployed their model into production from an engineer working on the team.
Secrets to a Successful Data Science Interview
Are you puzzled as to what to prepare for data science interviews? That you are reading this document is a reflection of your seriousness in being a successful data scientist.
The Hackathon Guide for Aspiring Data Scientists
This article is an overview of how to prepare for a hackathon as an aspiring data scientist, highlighting the 4 reasons why you should take part in one, along with a series of tips for participation.
Top Stories, Jul 8-14: The Death of Big Data and the Emergence of the Multi-Cloud Era; Training a Neural Network to Write Like Lovecraft
Also: What's wrong with the approach to Data Science?; Introducing Gen: MITs New Language That Wants to be the TensorFlow of Programmable Inference; Top 10 Data Science Leaders You Should Follow; 5 Probability Distributions Every Data Scientist Should Know; XGBoost and Random Forest with Bayesian Optimisation
Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference
Researchers from MIT recently unveiled a new probabilistic programming language named Gen, a language which allow researchers to write models and algorithms from multiple fields where AI techniques are applied without having to deal with equations or manually write high-performance code.
Pre-training, Transformers, and Bi-directionality
Bidirectional Encoder Representations from Transformers BERT (Devlin et al., 2018) is a language representation model that combines the power of pre-training with the bi-directionality of the Transformer’s encoder (Vaswani et al., 2017). BERT improves the state-of-the-art performance on a wide array of downstream NLP tasks with minimal additional task-specific training.
Top June Stories: 5 Useful Statistics Data Scientists Need to Know; 7 Steps to Mastering Intermediate Machine Learning with Python – 2019 Edition
Also: Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS; If you're a developer transitioning into data science, here are your best resources.