Marc Lamberti

NOVEMBER 23, 2022

It operates entirely in memory leading to out-of-memory errors if the dataset is too big. We are going to perform data analysis on the Stock Market dataset. This dataset contains CSV and JSON files for all NASDAQ, S&P500, and NYSE-listed companies. It’s a 10.22GB uncompressed dataset, and 1.0GB zip compressed.

Datasets 130

Datasets Python SQL Database 130

ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Snowflake

APRIL 24, 2024

Members of the Snowflake AI Research team pioneered systems such as ZeRO and DeepSpeed , PagedAttention / vLLM , and LLM360 which significantly reduced the cost of LLM training and inference, and open sourced them to make LLMs more accessible and cost-effective for the community. license provides ungated access to weights and code.

Amazon Web Services 145

Amazon Web Services SQL AWS Architecture 145

Netflix Tech

NOVEMBER 11, 2022

These services allow users to stream or download content across a broad category of devices including mobile phones, laptops, and televisions. However, some restrictions are in place, such as the number of active devices, the number of streams, and the number of downloaded titles.

Machine Learning 128

Machine Learning Digital Media Datasets Media 128

Knowledge Hut

JANUARY 3, 2024

Importing And Cleaning Data This is an important step as a perfect and clean dataset is required for distinct and perfect data visualization. It allows you to download your visualization in various formations, including SVG. Lakhs. )– They transform complicated data into easy-to-understand information which is accessible to everyone.

Python 98

Python Programming Language Datasets R (Programming) 98

Scott Logic

OCTOBER 18, 2023

The WebAssembly specification doesn’t define any host integration points, whether this is how you access the DOM, or exchange data with the host runtime (e.g. If you want to explore the data, feel free to download the dataset , please do attribute if you reproduce or use this data. pass values to JavaScript within the browser).

Programming Language 145

Programming Language Coding Java Programming 145

Towards Data Science

OCTOBER 21, 2023

Especially if you’ve used OSMnx before (for very similar usecases), you know that large datasets take a very long time to load into memory, which is where PyrOSM can help you work with them. In fact, if you wanted, you could download the entirety of Open Street Maps data into one file, known as Planet (around 1000 Gb of data)! ?‍?

Datasets 73

Datasets Data Data Science Python 73

Rockset

MARCH 1, 2023

OLTP databases aren’t built to ingest massive volumes of data streams and perform stream processing on incoming datasets. Rockset’s distributed SQL engine accesses data from the relevant RocksDB instance during query processing. So they are not suitable for real-time analytics.

Data Ingestion 144

Data Ingestion Database Architecture SQL 144

ProjectPro

FEBRUARY 5, 2021

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. Table of Contents What is the MNIST dataset? Test the Trained Neural Network Visualizing the Test Results Ending Notes What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40

Knowledge Hut

JANUARY 12, 2024

The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. variables) in a particular dataset while retaining most of the data. They make predictions based upon the probability that a new input dataset belongs to each class.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

Knowledge Hut

DECEMBER 22, 2023

Now Microsoft brings regular updates of the Power BI application with new features and improvements every month and users can download the latest edition from the Power BI site. The Windows Store has Power BI Desktop, which Windows 10 users can get from. Features of Power BI 1. to create interactive visualizations.

BI 98

BI Business Intelligence Machine Learning SQL 98

Towards Data Science

JANUARY 26, 2023

In such cases one must consider the manner in which the files will be pulled to the application while taking into account: bandwidth capacity, network latency, and the application’s file access pattern. Direct Download from Amazon S3 In this post, we will assume that we are downloading files directly from Amazon S3.

Cloud Storage 70

Cloud Storage Big Data Cloud AWS 70

Confluent

JULY 3, 2019

The following part of this blog post focuses on pushing the dataset into Google BigQuery and visual analysis in Google Data Studio. wwc : defines the BigQuery dataset name. Before starting the connector, we need to ensure the BigQuery dataset named wwc (as per configuration file) exists, otherwise, the connector will fail.

Data Analysis 21

Data Analysis Kafka Datasets Java 21

Cloudera

OCTOBER 26, 2020

Attribute-based access control and SparkSQL fine-grained access control. Store and access schemas across clusters and rebalance clusters with Cruise Control. Share query, chart results and download for any database. Easily search, glance, import datasets or jobs. Ranger 2.0. Sentry to Ranger migration tools.

Certification 88

Certification Cloud Kafka Unstructured Data 88

Cloudera

NOVEMBER 30, 2022

var dataSet = List(Row(1, "1", 1), Row(2, "2", 2)). dataSet = dataSet :+ Row(w, "foo", w); }. var rowRDD = spark.sparkContext.parallelize(dataSet). dataSet = List(Row(501, "500", 500), Row(502, "502", 502)). rowRDD = spark.sparkContext.parallelize(dataSet). rowRDD = spark.sparkContext.parallelize(dataSet).

Database 83

Database Datasets NoSQL Big Data 83

Knowledge Hut

JANUARY 24, 2024

Data Sources Tableau Software can access many data sources and servers. Provides Great Security Data connections and user access feature a fail-safe security system based on authentication and authorization mechanisms. Users can access a range of resources for issue resolution and guidance.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

DataKitchen

APRIL 13, 2021

Download the 2021 DataOps Vendor Landscape here. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Soda doesn’t just monitor datasets and send meaningful alerts to the relevant teams. Meta-Orchestration .

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Edureka

AUGUST 27, 2024

Data access and transfer have become critical since there is a rising trend of using both on-premises and cloud data forms in an organization. As a result, it can participate in the access of data without posing any threat. It then decrypts the credentials for an on-premises data source to authenticate and gain access to the data.

BI 52

BI Datasets Cloud Accessibility 52

Rockset

MARCH 9, 2023

Blockchain technology has revolutionized the way we store and access data. Ethereum Clients The most basic way to access Ethereum blockchain data is by hosting a node yourself on your local computer, and then querying that node directly. You can monitor the progress of the download by checking the log messages in the terminal window.

Amazon Web Services 52

Amazon Web Services Datasets AWS Google Cloud 52

Towards Data Science

JANUARY 7, 2024

Data profiling gives us statistics about different columns in our dataset. Table of contents Components of whylogs Environment setup Understanding the dataset Getting started with PySpark Data profiling with whylogs Data validation with whylogs Components of whylogs Let’s begin by understanding the important characteristics of whylogs.

Data Pipeline 75

Data Pipeline Hospitality Data Validation Datasets 75

Netflix Tech

FEBRUARY 13, 2023

We accomplish this by paving the path to: Accessing and processing media data (e.g. Media Access: Jasper In the early days of media ML efforts, it was very hard for researchers to access media data. Step 1 We download a video file and produce shot boundary metadata.

Media 119

Media Machine Learning Metadata Algorithm 119

Towards Data Science

NOVEMBER 16, 2023

Splittable in chunks : instead of processing an entire dataset in a single, resource-intensive operation, batch data can be divided into smaller, more manageable segments. This example requires an active Internet connection to work correctly to access the Europeana REST API. We’ll store the extracted data in a table.

Data Process 73

Data Process Process Raw Data Data 73

Cloudera

JULY 19, 2023

OM’s rate of serving operations becomes critical at scale, supporting the workloads spanning the entire dataset stored. We use Freon to generate a large dataset of over 400 million keys and read the keys back to generate load on the Ozone Manager. Download Apache Ozone at the Apache Download Site or a CDP Trial to get started.

Management 71

Management Metadata Datasets Architecture 71

Towards Data Science

FEBRUARY 19, 2024

However, the full dataset is about 40GB, and trying to handle that much data on my little laptop, or even in a Colab notebook was a bit much, so I had to figure out a pipeline that could manage filtering and embedding a larger data set. A trust policy that allows the EMR jobs to access other AWS services.

AWS 58

AWS Building Python Bytes 58

Towards Data Science

MARCH 6, 2023

The implementation The pipeline idea is simple, download the CSV files to the local machine, convert them into a Delta-Lake table stored in a GCS bucket, do the transformations needed over this delta table, and save the results in a Big Query Table that can be easily consumed by other downstream tasks. in CSV files (one per year).

Google Cloud 79

Google Cloud Cloud Storage Data Pipeline Cloud 79

Confluent

MAY 22, 2019

Since MQTT is designed for low-power and coin-cell-operated devices, it cannot handle the ingestion of massive datasets. Download the Confluent Platform. Once the tarball is downloaded: 3. Running this from a Google Compute Engine VM with full cloud API access is easiest. MQTT Proxy + Apache Kafka (no MQTT broker).

Kafka 98

Kafka Google Cloud NoSQL Entertainment 98

Cloudera

DECEMBER 21, 2020

The SDX layer is configured and the users have appropriate access. He downloads the Cloudera Fast Forward report about modeling Telco Churn and after reading it, his interest is piqued. Eva goes into the data access policies view, to grant access to Shaun for both tables. Company data exists in the data lake.

Banking 98

Banking Data Lake Data Data Warehouse 98

Confluent

OCTOBER 10, 2019

Apache Kafka ® and its surrounding ecosystem, which includes Kafka Connect, Kafka Streams, and KSQL, have become the technology of choice for integrating and processing these kinds of datasets. The easiest way to download and install new source and sink connectors is via Confluent Hub. Interested in more?

Kafka 20

Kafka Google Cloud Architecture Machine Learning 20

ProjectPro

FEBRUARY 8, 2023

For analyzing huge datasets, they want to employ familiar Python primitive types. By using AWS Glue Data Catalog, multiple systems can store and access metadata to manage data in data silos. You can use the Data Catalog, AWS Identity and Access Management rules, and Lake Formation to restrict access to the databases and tables.

AWS 98

AWS Scala Metadata Data Lake 98

Netflix Tech

APRIL 26, 2022

If we can access the historical facts, we can regenerate the features using updated feature encoders. Evolution of Fact Logging Client Compute applications access facts (members’ viewing history, their likes and my list information, etc.) As our label dataset was also random, presorting facts data also did not help.

Metadata 78

Metadata Datasets Machine Learning Designing 78

Cloudera

DECEMBER 20, 2023

They can select the best foundational LLM for the job from Amazon Bedrock (accessed via API call) or Hugging Face (accessed via download) using Cloudera Machine Learning (“CML”). Then they can build the application on CML using frameworks like Flask.

Amazon Web Services 72

Amazon Web Services AWS Machine Learning Datasets 72

Knowledge Hut

FEBRUARY 29, 2024

Anaconda Navigator Anaconda Navigator is a UI Interface, as shown above, which allows you to access different tools like Jupyter Notebook, VS Code, and Spyder directly by clicking on the launching button. We are installing it for MacOSx, but you can also go for the same steps by downloading Anaconda Navigator for Windows.

Data Science 52

Data Science Project Datasets Python 52

Rockset

JUNE 6, 2023

Real-time systems such as Elasticsearch were designed to work off of directly attached storage to allow for fast access in the face of real-time updates. This simplifies the system’s architecture and enables high bandwidth, low latency access to the data at query time. We can load larger datasets by just scaling the storage capacity.

Metadata 52

Metadata Datasets Architecture Algorithm 52

Tweag

SEPTEMBER 23, 2024

To analyze software engineering practices, we’ve chosen to use the most popular PyPI packages: acknowledging the importance of widely adopted packages, we included a scan of the most downloaded and frequently used PyPI packages. Specifically, we reused the dataset they generated ( found here ) for our own analyses.

Python 56

Python Project Metadata Datasets 56

ProjectPro

FEBRUARY 28, 2022

Before we jump on to the code, allow us to give you a fair idea of the dataset. The test dataset has 28,709 samples, and the training dataset has 3,589 samples. There are two columns in the dataset, “emotion” and “pixels.” It is optional as you can always download the data separately.

Coding 52

Coding Project Deep Learning Datasets 52

Edureka

MAY 31, 2024

Generative AI works by learning patterns and structures from a dataset and then using that knowledge to produce new content that resembles the data it was trained on. For example, a generative AI model trained on a dataset of human faces can generate new, realistic-looking faces that have never been seen before.

Education 95

Education Algorithm Coding Deep Learning 95

ProjectPro

SEPTEMBER 27, 2021

The training dataset is ready and made available for you for most of these beginner-level object detection projects. You can use the flowers recognition dataset on Kaggle to build this model. The flowers recognition dataset consists of multiple pictures with different types of flowers. Make predictions on the test set.

Coding 52

Coding Project Datasets Retail 52