Netflix Tech

NOVEMBER 12, 2024

However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. The Counter Abstraction API resembles Java’s AtomicInteger interface: AddCount/AddAndGetCount : Adjusts the count for the specified counter by the given delta value within a dataset.

Datasets

databricks

JULY 15, 2025

It provides a simplified, intuitive interface where users can explore AI/BI Dashboards, ask questions using natural language via Genie, and access custom Databricks Apps. This feature allows tables governed in Unity Catalog to be accessed by Microsoft Fabric, enabling interoperability via Unity Catalog Open APIs.

Government

KDnuggets

JULY 25, 2025

Once youve created an account, access the Google Cloud Console. Machine Learning Pipeline with Google Cloud Platform To build our machine learning pipeline, we will need an example dataset. We will use the Heart Attack Prediction dataset from Kaggle for this tutorial. To do that, we must create a storage bucket for our dataset.

Google Cloud

KDnuggets

JULY 22, 2025

The square bracket notation directly accesses the key, creating a new list containing only the desired values while maintaining the original order. Filtering JSON Objects by Condition Data filtering is essential when working with large JSON datasets. Laptop, Coffee Maker, Smartphone, Desk Chair, Headphones] # 2.

Python

Pinterest Engineering

NOVEMBER 18, 2024

This is particularly useful in environments where multiple applications need to access and process the same data. Near Real-Time Database Ingestion: We are developing a near real-time database ingestion system, utilizing CDC, to ensure timely data accessibility and efficient decision-making.

Kafka

RandomTrees

JULY 28, 2025

Step 3: Ingest Raw Voter Data and Register as Delta Tables With GCS access verified, I loaded three Parquet datasets—voter_demographics, voting_records, and election_results—into Databricks and converted them into Delta tables as the bronze layer. Full access requires a premium or enterprise-tier workspace.

Raw Data

KDnuggets

AUGUST 8, 2025

For our S&P 500 dataset, it identifies powerful feature combinations like company age buckets (startup, growth, mature, legacy) and sector-location interactions that reveal regionally dominant industries. The prompt includes dataset statistics, column relationships, and business context to produce relevant suggestions.

Data Science

KDnuggets

JUNE 23, 2025

You can launch it locally with: mlflow ui By default, the UI is accessible at [link]. Artifacts : Files generated during the experiment, such as models, datasets, and plots. mlruns This command uses an SQLite database for metadata storage and saves artifacts in the mlruns directory. Key Components of MLFlow 1.

Management

Pinterest Engineering

JUNE 24, 2025

Feature joins across multiple datasets were costly and slow due to Spark-based workflows. Reward signal updates needed repeated full-dataset recomputations, inflating infrastructure costs. Design: Code Consolidation: Consolidated common code across teams, e.g. the dataset readers for Iceberg and Parquet.

Software Engineer

RandomTrees

JULY 25, 2025

End-to-End ETL Workflow Using GCP and Databricks Lakeflow Job Orchestration Built a Lakeflow-style ETL Pipeline on Databricks (GCP Free Trial) using modular notebooks, GCS access via service account, Delta tables, 15-min scheduling, retries, and email alerts. This enables secure read access from Databricks.

Google Cloud

Ascend.io

NOVEMBER 14, 2024

These platforms enable scalable and distributed data processing, allowing data teams to efficiently handle massive datasets. Leverage Built-In Partitioning Features: Use built-in features provided by databases like Snowflake or Databricks to automatically partition large datasets.

Data Pipeline

Netflix Tech

DECEMBER 17, 2024

This fragmentation leads to inconsistencies and wastes valuable time as teams end up reinventing metrics or seeking clarification on definitions that should be standardized and readily accessible. Enter DataJunction (DJ). DJ acts as a central store where metric definitions can live and evolve.

Engineering

Engineering at Meta

JANUARY 22, 2025

However, these tools are limited by their lack of access to runtime data, which can lead to false positives from unexecuted code. Improving consumption experience : streamline the consumption experience to make it easier for developers and stakeholders to access and utilize data lineage information.

Data Warehouse

KDnuggets

AUGUST 11, 2025

The vast amount of information businesses generate often remains hidden in systems and is typically difficult to access and use. AI, on the other hand, continuously analyzes massive datasets to identify emerging risks before they become problems. According to a Box-sponsored IDC whitepaper, 90% of business data is unstructured.

Data Governance

ProjectPro

JUNE 6, 2025

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. Making raw data more readable and accessible falls under the umbrella of a data engineer’s responsibilities. as they effectively summarise and label the data.

Data Engineering

ProjectPro

JUNE 6, 2025

Spark uses Resilient Distributed Dataset (RDD), which allows it to keep data in memory transparently and read/write it to disc only when necessary. It can also access structured and unstructured data from various sources. Analysis and Visualization on Yelp Dataset Explore more Apache Spark Data Engineering Projects here.

Data Engineering

Snowflake

MARCH 31, 2025

For image data, running distributed PyTorch on Snowflake ML also with standard settings resulted in over 10x faster processing for a 50,000-image dataset when compared to the same managed Spark solution. Secure access to open source repositories via pip and the ability to bring in any model from hubs such as Hugging Face (see example here ).

Healthcare

KDnuggets

JUNE 13, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind? Here, SQL stepped in.

Data Science

Ascend.io

DECEMBER 4, 2024

Are your tools simple to implement and accessible to users with diverse skill sets? Embrace Version Control for Data and Code: Just as software developers use version control for code, DataOps involves tracking versions of datasets and data transformation scripts.

Data Pipeline

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

Data Engineering Weekly

JANUARY 15, 2025

Images and Videos: Computer vision algorithms must analyze visual content and deal with noisy, blurry, or mislabeled datasets. To safeguard sensitive information, compliance with frameworks like GDPR and HIPAA requires encryption, access control, and anonymization techniques.

Data Engineering

Ascend.io

OCTOBER 28, 2024

Filling in missing values could involve leveraging other company data sources or even third-party datasets. Data Normalization Data normalization is the process of adjusting related datasets recorded with different scales to a common scale, without distorting differences in the ranges of values.

Raw Data

databricks

AUGUST 7, 2025

While Apache Spark™ provides robust support for approximately 10 standard data source types, the healthcare domain requires access to hundreds of specialized formats and protocols. The authors acknowledge the creators of the benchmark dataset used in their study. The custom data source processes everything in memory. Rutherford, M.

Medical

Precisely

NOVEMBER 18, 2024

Ultimately, they are trying to serve data in their marketplace and make it accessible to business and data consumers,” Yoğurtçu says. With the rise of cloud-based data management, many organizations face the challenge of accessing both on-premises and cloud-based data. However, they require a strong data foundation to be effective.

Data Analytics

KDnuggets

JULY 4, 2025

We’ll use the famous Iris dataset and train a random forest classifier to predict the type of iris flower based on its petal and sepal measurements. Here’s the training script. Create a file called train_model.py

Machine Learning

ProjectPro

JUNE 6, 2025

Similarly, companies with vast reserves of datasets and planning to leverage them must figure out how they will retrieve that data from the reserves. Work in teams to create algorithms for data storage, data collection, data accessibility, data quality checks, and, preferably, data analytics. Structured Query Language or SQL (A MUST!!):

Data Engineering

Netflix Tech

JULY 10, 2025

In this case, Tudum needs to serve personalized experiences for our beloved fans, and accesses only the latest version of our content. RAW Hollow is an innovative in-memory, co-located, compressed object database developed by Netflix, designed to handle small to medium datasets with support for strong read-after-write consistency.

Kafka

Engineering at Meta

APRIL 28, 2025

Each product features its own distinct data model, physical schema, query language, and access patterns. Machine learning models : trained on labeled datasets using supervised learning and improved through unsupervised learning to identify patterns and anomalies in unlabeled data.

Metadata

Scott Logic

JUNE 19, 2025

High costs from specialized software and hardware, complex integration requirements, and inflexible schema-on-write approaches made them increasingly unsuitable for diverse, rapidly evolving datasets. This democratizes data access by leveraging existing SQL skills rather than requiring specialized programming knowledge.

Data Lake

KDnuggets

JULY 23, 2025

Unfortunately, there is still no standard way to access all these models, as each company can develop its own framework. That is why having an open-source tool such as LiteLLM is useful when you need standardized access to your LLM apps without any additional cost. Let’s get into it.

Data Science

Netflix Tech

MARCH 28, 2025

This scenario underscored the need for a new recommender system architecture where member preference learning is centralized, enhancing accessibility and utility across different models. Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources.

Metadata

ProjectPro

JUNE 6, 2025

Data pipelines are crucial in managing the information lifecycle, ensuring its quality, reliability, and accessibility. Check out the following insightful post by Leon Jose , a professional data analyst, shedding light on the pivotal role of data pipelines in ensuring data quality, accessibility, and cost savings for businesses.

Data Pipeline

ThoughtSpot

NOVEMBER 5, 2024

In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. All these objects are essential for managing access, configuring data connections, and building interactive Liveboards.

Metadata

ProjectPro

JUNE 6, 2025

It offers fast SQL queries and interactive dataset analysis. Key Features: Along with direct connections to Google Cloud's streaming services like Dataflow, BigQuery includes built-in streaming capabilities that instantly ingest streaming data and make it readily accessible for querying.

Data Engineering

ThoughtSpot

JANUARY 15, 2025

Additionally, Analyst Studio provides an extract solution called Datasets, which allows you to decide when to work with periodic data snapshots and controlled data refresh schedules instead of live connections. Join the waitlist for early access or schedule a one-on-one demo today. Need to perform advanced analytics ? No problem.

BI

ProjectPro

JUNE 6, 2025

Use specialized tools, such as Informatica, Goldengate, or StreamSets, if you need to conduct complex logic to detect incremental datasets. Network Security Users must install the Data Factory Self Hosted Integration runtime on their virtual machine for their storage to be accessible from within their Virtual Network on Azure (VM).

Data Engineering

ProjectPro

JUNE 6, 2025

And, with largers datasets come better solutions. Use Athena in AWS to perform big data analysis on massively voluminous datasets without worrying about the underlying infrastructure or the cost associated with that infrastructure. Redshift Amazon Athena Amazon Redshift A serverless tool for building and querying large datasets.

AWS