Datameer
Looker
Jupyter
Google BigQuery
Databricks
Presto DB
Informatica
Rakam
TensorFlow
PyTorch
Scikit-learn
Keras
IBM Watson Studio
OpenCV
Amazon SageMaker
Pega Platform
Datameer: Data Quality & Data Prep for Snowflake
Discover, explore, clean, transform, automate, and share Snowflake data with Datameer. The platform equips analysts and data engineers with a complete data toolset to efficiently prep their data.
Key Features:
Benefits of Datameer Cloud:
Datameer is a Snowflake SELECT partner, recognized for its data preparation expertise. The platform prioritizes data security, with monitoring by Drata to protect your valuable data.
Unlock the power of your Snowflake insights with Datameer today.
Datameer TensorFlowNo features have been listed yet.
Datameer's answer
Intuitive Visual Interface: Datameer offers a user-friendly visual interface for easy data prep with or without coding.
Seamless Snowflake Integration: Datameer integrates seamlessly with Snowflake, keeping all of your data in Snowflake where it should be.
Streamlined Data Analytics: With Datameer and Snowflake, you can unlock valuable insights faster and more efficiently, eliminating complex coding and cumbersome data transformations.
Datameer's answer
The story of Datameer began with a vision to democratize data analytics. The founders recognized the growing need for a platform that could empower organizations to leverage their data effectively, regardless of their technical expertise.
They set out to create a solution that would bridge the gap between data science and business users, enabling anyone to make data-driven decisions.
Over the years, Datameer has evolved into a leading data preparation and analytics platform, trusted by organizations across various industries to transform raw data into valuable insights.
Datameer's answer
Datameer caters to businesses of all sizes, from small businesses to large enterprises. Some of it's most prominent customers include BT Openreach, Vivint, BMO Financial Group, Akbank, Skylar, and Reliant Funding. These companies use Datameer's data preparation and analytics platform to make better decisions with their data.
Datameer's answer
Snowflake - The Data Cloud
Datameer's answer
Datameer offers an intuitive and user-friendly data transformation and analytics platform. Unlike other solutions that require extensive SQL knowledge, Datameer allows users to work with complex data easily through a visual interface. Whether you're a data engineer or a business analyst, Datameer empowers you to derive meaningful insights from your data without requiring extensive SQL skills.
Datameer's answer
Datameer caters to a diverse audience consisting of both technical and non-technical users. Data engineers and data analysts benefit from the platform's powerful data processing capabilities and advanced analytics functionalities. At the same time, business users, such as marketing professionals or operations managers, appreciate the simplicity and accessibility of Datameer's interface, allowing them to explore and visualize data without relying on IT or data science teams.
In essence, Datameer's primary audience is anyone who wants to unlock the value of their data quickly and efficiently.
Based on our record, TensorFlow should be more popular than Datameer. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hence the popularity of tools like Alteryx... There are newer better tool now like datameer.com easier to use and more modern. Source: over 2 years ago
That's right... Just look at datameer.com it's SaaS so much easier to handover... And much cheaper too... Source: about 2 years ago
I am biased but check out: datameer.com. Source: about 2 years ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
