Striim

MARCH 21, 2025

Change Data Capture is a software process that identifies and tracks changes to data in a database. CDC provides real-time or near-real-time movement of data by moving and processing data continuously as new database events occur. Events (deposits and withdrawals) are captured and streamed in real time using change data capture.

IT 52

IT Data Lake Relational Database Data Warehouse 52

RandomTrees

NOVEMBER 25, 2024

Generative AI equipped with NLP is capable of processing customer’s voices and even answering their questions in the most mobile fashion. The scope of telecom services is growing in size and complexity, owing to technologies such as 5G, the Internet of Things (IoT), and cloud technology. One of the primary issues is data privacy.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Edureka

FEBRUARY 12, 2025

It gives you the tools and ideas you need to connect LLMs to outside data sources, handle processes with multiple steps, and improve features by using memory, chains, and agents. This lets them do things like get real-time information or process datasets that are specific to a topic. What is LangChain? Why is LangChain important?

IT 52

IT Database Google Cloud Coding 52

Snowflake

FEBRUARY 27, 2025

While the participating venture capital firms may invest in the startup companies, Snowflake plays no role in their decision-making process, and there is no guarantee that any particular company will receive funding through the program or that the target amount will be invested.

Cloud 78

Cloud IT Amazon Web Services Healthcare 78

Striim

MARCH 21, 2025

What is Real-Time Stream Processing? To access real-time data, organizations are turning to stream processing. To access real-time data, organizations are turning to stream processing. There are two main data processing paradigms: batch processing and stream processing.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

Engineering at Meta

JANUARY 22, 2025

This belief has led us to developing Privacy Aware Infrastructure (PAI) , which offers efficient and reliable first-class privacy constructs embedded in Meta infrastructure to address different privacy requirements, such as purpose limitation , which restricts the purposes for which data can be processed and used.

Data Warehouse 120

Data Warehouse SQL Programming Language Data 120

The Pragmatic Engineer

APRIL 21, 2024

Other shipped things include  DALL·E 3  (image generation,)  GPT-4  (an advanced model,) and the  OpenAI API  which developers and companies use to integrate AI into their processes. See a longer version of this article here: Scaling ChatGPT: Five Real-World Engineering Challenges. Tokenization.  We

Engineering 363

Engineering Software Engineer Software Engineering Programming 363

Monte Carlo

NOVEMBER 12, 2024

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. And who better to learn from than the tech giants who process more data before breakfast than most companies see in a year?

Architecture 96

Architecture Data Engineer Data Engineering Engineering 96

The Pragmatic Engineer

NOVEMBER 21, 2023

Avoiding downtime was nerve-wracking, and the notion of a 'rollback' was as much a relief as a technical process.  In this article, we cover thee out of nine topics from today’s subscriber-only issue: The Past and Future of Modern Backend Practices. To get full issues twice a week, subscribe here.

Engineering 337

Engineering Bytes Cloud Computing AWS 337

Netflix Tech

NOVEMBER 12, 2024

Introducing sufficient jitter to the flush process can further reduce contention. By creating multiple topic partitions and hashing the counter key to a specific partition, we ensure that the same set of counters are processed by the same set of consumers. This setup simplifies facilitating idempotency checks and resetting counts.

Datasets 103

Datasets Computer Science Systems Kafka 103

Simon Späti

MARCH 11, 2025

Therefore, you’ve probably come across terms like OLAP (Online Analytical Processing) systems, data warehouses, and, more recently, real-time analytical databases. Postgres is powerful, reliable, and flexible enough to handle both transactional and basic analytical workloads.

Database 130

Database Data Warehouse Data Engineer Data Engineering 130

The Pragmatic Engineer

OCTOBER 17, 2024

Code and raw data repository:   Version control: GitHub Heavily using GitHub Actions for things like getting warehouse data from vendor APIs, starting cloud servers, running benchmarks, processing results, and cleaning up after tuns. Spare Cores attempts to make it easier to compare prices across cloud providers. Source: Spare Cores.

Cloud 326

Cloud AWS Metadata Cloud Computing 326

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

The Pragmatic Engineer

MAY 25, 2023

In this issue, we cover one out of six topics from today’s subscriber-only The Scoop issue. To get full articles twice a week, subscribe here. I got a message from a software engineer working at a company which laid off 30% of staff in December 2022. Also, there is business sense in doing this for reputational reasons.

Software Engineer 351

Software Engineer Software Engineering AWS Engineering 351

The Pragmatic Engineer

JUNE 1, 2023

for the simulation engine Go on the backend PostgreSQL for the data layer React and TypeScript on the frontend Prometheus and Grafana for monitoring and observability And if you were wondering how all of this was built, Juraj documented his process in an incredible, 34-part blog series. You can read this here. Incremental progress.

Education 364

Education Project PostgreSQL Software Engineering 364

Snowflake

NOVEMBER 6, 2024

But getting a handle on all the emails, calls and support tickets had historically been a tedious and largely manual process. For years, companies have operated under the prevailing notion that AI is reserved only for the corporate giants — the ones with the resources to make it work for them.

Hospitality 91

Hospitality Medical Government Software Engineer 91

Monte Carlo

NOVEMBER 26, 2024

Process > Tooling (Barr) 3. Process > Tooling (Barr) A new tool is only as good as the process that supports it. We’re living in a world without reason (Tomasz) 2. AI is driving ROI—but not revenue (Tomasz) 4. AI adoption is slower than expected—but leaders are biding their time (Tomasz) 6.

Data Engineer 105

Data Engineer Data Engineering Engineering Unstructured Data 105

Christophe Blefari

JANUARY 11, 2025

Some personal news: I will be in Amsterdam for the DuckCon on Jan 31, I'll give a 5 minutes talk about yato , if you're also going or living there, reach out so we can chat! We announced the AI Product Day , a 1-day conference that will take place in Paris on March 31. We are looking for sponsors and the ticketing is open.

Data 130

Data Data Warehouse Coding Programming Language 130

Engineering at Meta

FEBRUARY 4, 2025

In this context, an individual data log entry is a formatted version of a single row of data from Hive that has been processed to make the underlying data transparent and easy to understand. Data logs include things such as information about content you’ve viewed on Facebook.

Accessibility 92

Accessibility Accessible Raw Data Data Warehouse 92

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 28, 2023

Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya. Introduction Data science has taken over all economic sectors in recent times.

Data Science 290

Data Science Data Preparation Big Data Data 290

Analytics Vidhya

FEBRUARY 23, 2023

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. Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially.

Big Data Tools 242

Big Data Tools Big Data Datasets Data 242

Simon Späti

FEBRUARY 25, 2023

It’s a tale of finding my Pathless Path and discovering who I am in the process. As I sit down to write this article, I’m filled with a sense of vulnerability and excitement. You see, this is a story that only I can tell. Along the way, I discovered the importance of staying flexible and adaptable.

Process 289

Process IT 289

Snowflake

NOVEMBER 26, 2024

Processing some 90,000 tables per day, the team oversees the ingestion of more than 100 terabytes of data from upward of 8,500 events daily. Processing some 90,000 tables per day, the team oversees the ingestion of more than 100 terabytes of data from upward of 8,500 events daily. million in cost savings annually.

Data Warehouse 101

Data Warehouse Cloud PostgreSQL Hadoop 101

Engineering at Meta

JANUARY 21, 2025

Strobelight is also not a single profiler but an orchestrator of many different profilers (even ad-hoc ones) that runs on all production hosts at Meta, collecting detailed information about CPU usage, memory allocations, and other performance metrics from running processes. Function call count profilers.

Technology 118

Technology Metadata Utilities Engineering 118

Cloudera

NOVEMBER 13, 2024

The end-to-end lineage also automates tasks such as predicting the impact of a process change, analyzing the impact of a broken process, discovering parallel processes performing the same tasks, and performing root cause analysis to uncover the source of reporting errors.

Metadata 90

Metadata Management Data Governance Government 90

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. Snowflake has continuously focused on making it easier and faster for customers to bring advanced models into production.

Healthcare 87

Healthcare Medical Government Electronics 87

Engineering at Meta

APRIL 28, 2025

Specifically, we have adopted a “shift-left” approach, integrating data schematization and annotations early in the product development process. However, conducting these processes outside of developer workflows presented challenges in terms of accuracy and timeliness.

Metadata 86

Metadata Data Utilities Data Warehouse 86

The Pragmatic Engineer

OCTOBER 31, 2023

We are still working on processing the backlog of asynchronous Lambda invocations that accumulated during the event, including invocations from other AWS services (such as SQS and EventBridge). To get full issues twice a week, subscribe here. We did a deepdive into this incident in What is going on at Google Cloud? 13 June 2023: AWS.

AWS 280

AWS Google Cloud Cloud Engineering 280

Precisely

JANUARY 30, 2025

Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk. Align people, processes, and technology Successful data governance requires a holistic approach. But as Woods noted, AI isnt a replacement for people its an augmentation tool.

Data Governance 102

Data Governance Government Metadata Data 102

Netflix Tech

MARCH 28, 2025

The impetus for constructing a foundational recommendation model is based on the paradigm shift in natural language processing (NLP) to large language models (LLMs). To harness this data effectively, we employ a process of interaction tokenization, ensuring meaningful events are identified and redundancies are minimized.

Metadata 88

Metadata Bytes Entertainment Data Mining 88