- Data Labeling for Machine Learning: Market Overview, Approaches, and Tools - Dec 13, 2021.
So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.
Big Data, Crowdsourcing, Data Classification, Data Labeling, Data Mining, Data Platform
- Introducing PostHog: An open-source product analytics platform - Sep 23, 2021.
PostHog is an open-source product analytics platform that helps you and your product team capture, analyze, and make informed decisions based on user behaviour.
Data Analytics, Data Platform, Open Source, Platform, Tools
- The Future of Cloud is Now - Dec 22, 2020.
Our recent survey of over 130 top data engineers, data architects, and executives uncovered details and trends of the current state of data engineering and DataOps.Read our survey report to learn more about these trends as well as our predictions for future obstacles and our recommendations for avoiding them.
Cloud, Data Engineering, Data Platform, Immuta, Survey
- Simplifying Data Pipelines in Hadoop: Overcoming the Growing Pains - May 18, 2017.
Moving to Hadoop is not without its challenges—there are so many options, from tools to approaches, that can have a significant impact on the future success of a business’ strategy. Data management and data pipelining can be particularly difficult.
Data Management, Data Platform, Hadoop, SVDS
- Data-Planet Statistical Datasets - Nov 4, 2015.
Data-Planet Statistical Datasets provides easy access to an extensive repository of standardized and structured statistical data, with more than 25 billion data points from more than 70 source organizations.
Data Platform, Statistics, Time Series, Time series data
- Big Data Landscape, v 3.0, analyzed - May 15, 2014.
We analyze the Big Data Landscape and identify the most popular market segments in Analytics, Infrastructure, Applications, Open Source, and Data Sources categories. It is still early - only 4.5% of companies had exits.
Big Data, Big Data Analytics, Data Platform, Infrastructure, Landscape, Open Source, Startups
