Netflix Tech

NOVEMBER 14, 2023

Understanding the nature of the late-arriving data and processing requirements will help decide which pattern is most appropriate for a use case. Stateful Data Processing : This pattern is useful when the output depends on a sequence of events across one or more input streams.

Data Process 93

Data Process Process Metadata Finance 93

LinkedIn Engineering

JANUARY 19, 2024

Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. With our new data processing framework, we were able to observe a multitude of benefits, including 99.9%

Recruitment 88

Recruitment Data Process Process Kafka 88

databricks

MARCH 4, 2024

StreamNative, a leading Apache Pulsar-based real-time data platform solutions provider, and Databricks, the Data Intelligence Platform, are thrilled to announce the enhanced Pulsar-Spark.

Data Process 126

Data Process Process Data 126

databricks

JUNE 15, 2023

We are excited to announce the official launch of the Google Pub/Sub connector for the Databricks Lakehouse Platform. This new connector adds to.

Google Cloud 119

Google Cloud Data Process Process Cloud 119

Towards Data Science

FEBRUARY 12, 2024

Let’s learn what… Continue reading on Towards Data Science » In this first article, we’re exploring Apache Beam, from a simple pipeline to a more complicated one, using GCP Dataflow.

Data Pipeline 98

Data Pipeline Data Process Process Data Science 98

Analytics Vidhya

FEBRUARY 28, 2023

A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud.

Big Data 312

Big Data Machine Learning Cloud Data Process 312

Jesse Anderson

FEBRUARY 11, 2025

Discover the insights he gained from academia and industry, his perspective on the future of data processing and the story behind building a next-generation graph database. Semih explains how Kuzu addresses the challenges of large graph analytics, the benefits of embeddability, and its potential for applications in AI and beyond.

Computer Science 130

Computer Science Database Design Software Engineering Software Engineer 130

Analytics Vidhya

FEBRUARY 7, 2023

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications.

Data Engineering 248

Data Engineering Data Engineer Engineering Data 248

Analytics Vidhya

FEBRUARY 13, 2023

Introduction Every data scientist demands an efficient and reliable tool to process this big unstoppable data. Today we discuss one such tool called Delta Lake, which data enthusiasts use to make their data processing pipelines more efficient and reliable.

Data Process 242

Data Process Process Data Data Warehouse 242

Start Data Engineering

MAY 28, 2024

Building efficient data pipelines with DuckDB 4.1. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Use DuckDB 4.4.

Data Pipeline 219

Data Pipeline Python Building Data 219

Analytics Vidhya

FEBRUARY 23, 2023

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze.

Big Data Tools 242

Big Data Tools Big Data Datasets Data 242

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Big data processing is crucial today. Big data analytics and learning help corporations foresee client demands, provide useful recommendations, and more. Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy.

Hadoop 237

Hadoop Big Data Data Analytics Data Process 237

Analytics Vidhya

APRIL 28, 2023

It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time. Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011.

Kafka 206

Kafka Scala Coding Data Process 206

Analytics Vidhya

FEBRUARY 19, 2023

Introduction Data pipelines play a critical role in the processing and management of data in modern organizations. A well-designed data pipeline can help organizations extract valuable insights from their data, automate tedious manual processes, and ensure the accuracy of data processing.

Data Pipeline 199

Data Pipeline Data Designing Data Process 199

Snowflake

JUNE 5, 2024

With Snowpark’s existing DataFrame API , users have access to a robust framework for lazily evaluated, relational operations on data, closely resembling Spark’s conventions. pandas is the go-to data processing library for millions worldwide, including countless Snowflake users. Why introduce a distributed pandas API?

Python 128

Python Programming Language Government SQL 128

Snowflake

MARCH 26, 2025

In this edition, we talk to Richard Meng, co-founder and CEO of ROE AI , a startup that empowers data teams to extract insights from unstructured, multimodal data including documents, images and web pages using familiar SQL queries. What inspires you as a founder?

Unstructured Data 98

Unstructured Data SQL Data Data Workflow 98

Ascend.io

NOVEMBER 14, 2024

Why Future-Proofing Your Data Pipelines Matters Data has become the backbone of decision-making in businesses across the globe. The ability to harness and analyze data effectively can make or break a company’s competitive edge. Set Up Auto-Scaling: Configure auto-scaling for your data processing and storage resources.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Snowflake

MARCH 20, 2025

When they deploy Contextual AI as a Snowflake Native App , they get the peace of mind that comes with running the platform and the data processing inside their own Snowflake environment, while Snowflake manages the infrastructure complexity, including server management, scaling and maintenance.

Programming 96

Programming Certification Building Designing 96

Striim

APRIL 10, 2025

As data volumes surge and the need for fast, data-driven decisions intensifies, traditional data processing methods no longer suffice. To stay competitive, organizations must embrace technologies that enable them to process data in real time, empowering them to make intelligent, on-the-fly decisions.

Data Analytics 52

Data Analytics Algorithm Datasets Data 52

Snowflake

MARCH 19, 2025

Explore AI and unstructured data processing use cases with proven ROI: This year, retailers and brands will face intense pressure to demonstrate tangible returns on their AI investments.

Retail 96

Retail Media Entertainment Unstructured Data 96

KDnuggets

JULY 13, 2022

Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.

Process 159

Process Python Data Process Data 159

KDnuggets

JANUARY 20, 2023

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

Python 160

Python Programming Machine Learning Data Process 160

Seattle Data Guy

APRIL 25, 2024

As data increased in volume, velocity, and variety, so, in turn, did the need for tools that could help process and manage those larger data sets coming at us at ever faster speeds.

Big Data 147

Big Data Data Process Process Management 147

DataKitchen

MARCH 20, 2025

Understanding this framework offers valuable insights into team efficiency, operational excellence, and data quality. Process-centric data teams focus their energies predominantly on orchestrating and automating workflows. Over the years, we have also been helping data-centric data teams.

Pipeline-centric 64

Pipeline-centric Database-centric Process Data 64

Snowflake

NOVEMBER 19, 2024

To overcome these hurdles, CTC moved its processing off of managed Spark and onto Snowflake, where it had already built its data foundation. Thanks to the reduction in costs, CTC now maximizes data to further innovate and increase its market-making capabilities.

Data Governance 98

Data Governance Government Healthcare Building 98

Ascend.io

DECEMBER 4, 2024

Examples include “reduce data processing time by 30%” or “minimize manual data entry errors by 50%.” It aims to streamline and automate data workflows, enhance collaboration and improve the agility of data teams. How effective are your current data workflows?

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Ascend.io

OCTOBER 28, 2024

Advanced Data Transformation Techniques For data engineers ready to push the boundaries, advanced data transformation techniques offer the tools to tackle complex data challenges and drive innovation. Automated testing and validation steps can also streamline transformation processes, ensuring reliable outcomes.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Waitingforcode

APRIL 18, 2024

Streaming jobs are supposed to run continuously but it applies to the data processing logic. After all, sometimes you may need to release a new job package with upgraded dependencies or improved business logic. What happens then?

Data Process 130

Data Process Process IT Data 130

Start Data Engineering

SEPTEMBER 4, 2024

Key parts of data systems: 2.1. Data flow design 2.3. Data processing design 2.5. Data storage design 2.7. Introduction If you are trying to break into (or land a new) data engineering job, you will inevitably encounter a slew of data engineering tools. Introduction 2. Requirements 2.2. Conclusion 1.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Storage 130

Start Data Engineering

OCTOBER 14, 2024

Using nested data types effectively 3.1. Using nested data types in data processing 3.3.1. STRUCT enables more straightforward data schema and data access 3.3.2. Nested data types can be sorted 3.3.3. Use STRUCT for one-to-one & hierarchical relationships 3.2.

SQL 130

SQL Data Schemas Data Coding 130

Start Data Engineering

OCTOBER 17, 2024

Handy functions for common data processing scenarios 1.1. STRUCT data types are sorted based on their keys from left to right 1.4. Introduction Setup SQL tips 1. Need to filter on WINDOW function without CTE/Subquery use QUALIFY 1.2. Need the first/last row in a partition, use DISTINCT ON 1.3.

SQL 130

SQL Data Engineering Data Engineer Engineering 130

Snowflake

JUNE 20, 2024

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models.

Data Engineering 111

Data Engineering Data Engineer Scala Engineering 111

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. By systematically moving data through these layers, the Medallion architecture enhances the data structure in a data lakehouse environment.

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

The Pragmatic Engineer

MARCH 19, 2024

A 1959 survey had found that in any data processing installation, the programming cost US$800,000 on average and that translating programs to run on new hardware would cost $600,000. From Wikipedia : “In the late 1950s, computer users and manufacturers were becoming concerned about the rising cost of programming.

Software Engineering 308

Software Engineering Software Engineer Programming Language Media 308

Waitingforcode

DECEMBER 19, 2023

Even though nowadays data processing frameworks and data stores have smart query planners, they don't take our responsibility to correctly design the job logic.

Designing 130

Designing Data Process Process Data 130

Snowflake

JUNE 4, 2024

Finally, Tasks Backfill (PrPr) automates historical data processing within Task Graphs. Additionally, Dynamic Tables are a new table type that you can use at every stage of your processing pipeline. Follow this quickstart to test-drive Dynamic Tables yourself. Snowflake integrates with GitHub, GitLab, Azure DevOps and Bitbucket.

Data Pipeline 122

Data Pipeline Python SQL Database 122

Data Engineering Weekly

MAY 16, 2023

Architectural Patterns for Data Quality Now we understand the trade-off between speed & correctness and the difference between data testing and observability. Let’s talk about the data processing types. Two-Phase WAP The Two-Phase WAP, as the name suggests, follows two copy processes.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110