Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. It offers various blogs based on above mentioned technology in alphabetical order.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Netflix Tech

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Bytes 94

Bytes Datasets Metadata Data 94

DataKitchen

DECEMBER 9, 2022

ChatGPT> I am unable to provide specific information on DataKitchen’s software, as I am a large language model trained by OpenAI and I do not have access to real-time information. The fairy was carrying a DataOps wand, and she waved it over the messy data, transforming it into a clean and organized dataset.

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

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

Cloudera

NOVEMBER 13, 2024

Several LLMs are publicly available through APIs from OpenAI , Anthropic , AWS , and others, which give developers instant access to industry-leading models that are capable of performing most generalized tasks. Fine Tuning Studio enables users to track the location of all datasets, models, and model adapters for training and evaluation.

Datasets 60

Datasets Machine Learning Coding AWS 60

Snowflake

JUNE 28, 2023

In this blog we’ll dive into the latest announcements on Snowpark client libraries and server side enhancements on warehouses. For additional details on Snowpark Container Services, refer to our launch blog available here. Modeling: Train models for popular scikit-learn and xgboost models directly on data in Snowflake.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Pinterest Engineering

JANUARY 4, 2024

This blog post goes into the details of how we built this massively scalable, highly available wide column database using RocksDB, and provides information about the data model, APIs, and key features. It is written in C++ and offers bindings for several programming languages, making it accessible for developers in different environments.

Database 93

Database Building Datasets Relational Database 93

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. In this blog, we will discuss: What is the Open Table format (OTF)? These formats are transforming how organizations manage large datasets. Why should we use it?

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Data Engineering Weekly

AUGUST 6, 2024

CDC enables real-time data flows from operational systems to analytics platforms, ensuring decision-makers can access the most current data. Challenges: Highly resource-intensive and slow for large datasets. However, access to the transaction log is required, which may not always be feasible depending on the database system.

Data Lake 125

Data Lake Data Warehouse Database Data Architecture 125

Data Engineering Weekly

SEPTEMBER 18, 2024

In short, While a test can check if a dataset has 10,000 rows, observability ensures the data arriving continuously through the pipeline matches historical behavior, identifies trends, and flags anomalies. Visualization tools that map out pipeline dependencies are particularly helpful here.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

Cloudera

NOVEMBER 7, 2023

The vast tapestry of data types spanning structured, semi-structured, and unstructured data means data professionals need to be proficient with various data formats such as ORC, Parquet, Avro, CSV, and Apache Iceberg tables, to cover the ever growing spectrum of datasets – be they images, videos, sensor data, or other type of media content.

Systems 103

Systems Hadoop Unstructured Data Media 103

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 SQL 52

Data Engineering Weekly

SEPTEMBER 29, 2024

Grab confirms my observation that users abandoned their searches in 18% of sessions without clicking on any dataset. This suggested that the search results were not meeting their needs, which led to redesigning the system to focus on search accessible where data consumers hang out the most: Slack.

Data Engineering 62

Data Engineering Data Engineer Engineering SQL 62

Snowflake

OCTOBER 22, 2024

Founder and CEO Chuck Frisbie about how synthetic data is the answer to balancing the need for data privacy with the need for data access, and some of the unexpected benefits of their Snowflake Native App. In this edition, hear from DataMynd.ai How would you explain DataMynd in one sentence? Why did you choose to build your app on Snowflake?

Data 82

Data Data Schemas Datasets Machine Learning 82

Databand.ai

AUGUST 30, 2023

Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content. Accelerated decision-making In today’s fast-paced business environment, where decisions need to be made quickly based on accurate information, having access to reliable and trustworthy data becomes crucial.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

DareData

JUNE 11, 2024

In this blog post, we are finally going to bring out the big guns and train our first computer vision algorithm. Although we’ll use a simple dataset here (making it accessible for anyone to run this code on their computer), the principles we’ll see can be applied to other image classification algorithms. ok, hard to visualize!

Algorithm 52

Algorithm Datasets Deep Learning Architecture 52

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”). More information can be found in our blog post here. More information can be found in our blog post here.

Amazon Web Services 70

Amazon Web Services AWS Machine Learning Datasets 70

Cloudera

DECEMBER 13, 2023

The marketplace delivers a data-centric operating environment by increasing data accessibility and enabling advanced analytics. The seamless inflow of retained and external datasets via CDP allows teams to create datasets locally and make them available for others to consume without the need for assistance from data engineers.

Pipeline-centric 87

Pipeline-centric Professional Services Datasets BI 87

Data Engineering Weekly

SEPTEMBER 15, 2024

The blog narrates how the lack of neutral guidance or standards leads to ambiguity and the formation of a central team to bring trust in data. link] Svetak Sundhar: Unit Testing in Beam - An Opinionated Guide The blog talks about the Apache Beam pipeline's engineering approach to unit testing.

Data Engineering 67

Data Engineering Data Engineer Engineering Data Lake 67

Rockset

MARCH 9, 2023

Blockchain technology has revolutionized the way we store and access data. In this blog post, we will explore three different ways to query the Ethereum blockchain. 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.

Amazon Web Services 52

Amazon Web Services Datasets AWS Google Cloud 52

Christophe Blefari

APRIL 5, 2024

How we built Text-to-SQL at Pinterest — Pinterest open-sourced a tool called Querybook that they used to access Pinterest data every day. A training set for bike sharing forecasting — Max has created a large dataset of bike sharing providers in ~50 cities around the world. This article greatly explained how they did it.

SQL 130

SQL Data Python Datasets 130

Databand.ai

MAY 19, 2023

In this update, we focused on enhancing integration with Snowflake and adding new role-based access controls with Databand Groups. Snowflake dataset logging You can now see all the tables pulling in from Snowflake within the main Datasets screen.

Datasets 52

Datasets Data Data Pipeline Accessibility 52

Ascend.io

NOVEMBER 14, 2024

In this blog post, we’ll explore key strategies for future-proofing your data pipelines. These platforms enable scalable and distributed data processing, allowing data teams to efficiently handle massive datasets. Access Controls Access controls are another critical component of data pipeline security.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

DareData

FEBRUARY 28, 2024

In this post of the PyTorch Introduction, we’ll learn how to use custom datasets with PyTorch, particularly tabular, vision and text data PyTorch is one of the hottest libraries in the Deep Learning field right now. We’ve used few custom datasets in our examples and previous blog posts. Let’s start!

Datasets 52

Datasets Deep Learning Data Machine Learning 52

Cloudera

AUGUST 3, 2022

Fine grained access control (FGAC) with Spark. That’s why we are excited to introduce Spark Secure Access , a new security feature for Apache Spark in the Cloudera Data Platform (CDP), that adheres to all security policies without resorting to 3rd party tools. Introducing Spark Secure Access Mode. Starting with CDP 7.1.7

Datasets 89

Datasets BI Machine Learning Accessible 89

Cloudera

FEBRUARY 22, 2022

The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. The data explosion has to be met with new solutions, that’s why we are excited to introduce the next generation table format for large scale analytic datasets within Cloudera Data Platform (CDP) – Apache Iceberg.

Metadata 108

Metadata Datasets BI SQL 108

Pinterest Engineering

NOVEMBER 18, 2024

In this blog post, we’ll explore what CDC is, why it’s important, and our journey of implementing Generic CDC solutions for all online databases at Pinterest. This is particularly useful in environments where multiple applications need to access and process the same data. What is Change Data Capture? or its affiliates.

Kafka 46

Kafka MySQL Database Software Engineer 46

Workfall

JULY 18, 2023

As one of those wizards, we’ve seen the challenges we face: the struggle to transform massive datasets into meaningful insights, all while keeping queries fast and our system scalable. In this blog, we’ll whisk you away on an enchanting journey through DBT materializations. In this blog, we will cover: What is DBT?

Datasets 77

Datasets Entertainment Data Workflow Data 77

Databand.ai

AUGUST 30, 2023

This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. Data profiling: Regularly analyze dataset content to identify inconsistencies or errors. Automated profiling tools can quickly detect anomalies or patterns indicating potential dataset integrity issues.

Building 52

Building Data Cleanse Data Governance Datasets 52

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. They use intelligent language interfaces and make data accessible to more people. It creates summaries of large datasets and identifies anomalies in data. These accelerators combine information from different sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Data Engineering Weekly

AUGUST 25, 2024

The blog is a good overview of various components in a typical data stack. Powerful deep learning models are becoming smarter, more accessible and cost-effective. However, it’s only by combining these with rich proprietary datasets and operational data streams that organizations can find true differentiation.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

Cloudera

OCTOBER 8, 2024

In 2022, the release of ChatGPT attracted over 100 million users within just two months, demonstrating the technology’s accessibility and its impact across various user skill levels. Comprehensive safeguards, including authentication and authorization, ensure that only users with configured access can interact with the model endpoint.

Government 74

Government Cloud Datasets Machine Learning 74

Netflix Tech

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. This abstraction simplifies data access, enhances the reliability of our infrastructure, and enables us to support the broad spectrum of use cases that Netflix demands with minimal developer effort.

Bytes 99

Bytes Metadata Database Data 99

Databand.ai

AUGUST 30, 2023

Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content. Accelerated Decision-Making In today’s fast-paced business environment, where decisions need to be made quickly based on accurate information, having access to reliable and trustworthy data becomes crucial.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. The Silver layer aims to create a structured, validated data source that multiple organizations can access. How do you ensure data quality in every layer ?

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Databand.ai

AUGUST 30, 2023

To maintain data integrity, organizations implement various processes and controls, such as data validation, access controls, backups, and audits. Data validation checks help identify errors and inconsistencies in data, while access controls restrict unauthorized users from accessing or modifying data.

Data Integration 52

Data Integration Data Cleanse Data Validation Data Governance 52

Cloudera

OCTOBER 25, 2023

Participants will be given access to Cloudera Machine Learning running on AMD hardware to enable swift, powerful computations and breakthrough innovations — a pairing that will help data scientists craft climate and sustainability solutions. Learn more about how you can participate in the hackathon here.

Food 101

Food Machine Learning Transportation Manufacturing 101