Waitingforcode

MAY 30, 2024

Otherwise, you wouldn't read stream processing fallacies! Last week I was speaking in Gdansk on the DataMass track at Infoshare. As it often happens, the talk time slot impacted what I wanted to share but maybe it's for good.

Process 130

Process IT 130

Waitingforcode

MARCH 12, 2024

The lack of the processing time trigger means more a reactive micro-batch triggering but it cannot be considered as the single true best practice. That's the question. Let's see why.

Process 130

Process IT 130

Seattle Data Guy

SEPTEMBER 3, 2024

However, there often is a conflation between real-time data analytics and stream processing. These are two different concepts that are crucial to understanding how to… Read more The post Real-time Analytics Vs Stream Processing – What Is The Difference? appeared first on Seattle Data Guy.

Process 130

Process Data Analytics Data Big Data 130

KDnuggets

AUGUST 14, 2024

Discover five tools that can automate and simplify the process. Struggling with time-consuming data cleaning tasks?

Process 117

Process Data Data Science 117

Seattle Data Guy

MARCH 1, 2024

Real-time data processing can satisfy the ever-increasing demand for… Read more The post 5 Real-Time Data Processing and Analytics Technologies – And Where You Can Implement Them appeared first on Seattle Data Guy.

Data Process 130

Data Process Technology Process Data 130

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. When performing research and building prototypes of the projects, what is your process for incorporating user experience into the implementation of the product?

Data Process 147

Data Process Process Data Lake High Quality Data 147

Confluent

DECEMBER 19, 2024

Queue support in Apache Kafka 4.0, enabled by share groups, lets you accommodate traditional queue-type workloads through cooperative consumption.

Kafka 136

Kafka Process 136

KDnuggets

OCTOBER 21, 2024

Enhance your NLP skills through a variety of resources, including roadmaps, frameworks, courses, tutorials, example code, and projects.

Process 129

Process Coding Project 129

Confessions of a Data Guy

OCTOBER 31, 2024

I find the good, the bad, the ugly, and splay them out before you, string ’em up and […] The post Testing DuckDB’s Large Than Memory Processing Capabilities. appeared first on Confessions of a Data Guy.

Process 114

Process Data Engineer Data Engineering Engineering 114

Seattle Data Guy

NOVEMBER 13, 2024

A Guide to Storage, Processing, and Analysis appeared first on Seattle Data Guy. However, much of the data that is being created and will be created comes in some form of unstructured format. However, the digital era… Read more The post What is Unstructured Data?

Unstructured Data 130

Unstructured Data Process Structured Data Data 130

databricks

JULY 8, 2024

We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space: IDC MarketScape: Worldwide Analytic.

Data Pipeline 116

Data Pipeline Process Cloud Data Engineer 116

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. Each word that spits out of ChatGPT is this same process repeated over and over again many times per second.

Engineering 352

Engineering Software Engineering Software Engineer Programming 352

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 309

Big Data Machine Learning Cloud Data Process 309

Start Data Engineering

MAY 28, 2024

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? Introduction 2. Project demo 3. Building efficient data pipelines with DuckDB 4.1. Use DuckDB 4.4.

Data Pipeline 219

Data Pipeline Python Building Data 219

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

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.

Data Science 284

Data Science Data Preparation Big Data Data 284

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 240

Data Engineering Data Engineer Engineering Data 240

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.  After this zero-byte file was deployed to prod, the Apache web server processes slowly picked up the empty configuration file. Our deployments were initially manual. Apache started to log like a maniac.

Engineering 307

Engineering Bytes Cloud Computing AWS 307

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 235

Data Process Process Data Data Warehouse 235

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 234

Big Data Tools Big Data Datasets Data 234

Start Data Engineering

SEPTEMBER 18, 2024

Identify what tool to use to process data 3.3. Define what the output dataset will look like 3.1.3. Define SLAs so stakeholders know what to expect 3.1.4. Define checks to ensure the output dataset is usable 3.2. Data flow architecture 3.

Project 240

Project Building Datasets Architecture 240

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Big data processing is crucial today. While MapReduce, Hive, Pig, and Cascading are all useful tools, completing all necessary processing or computing […] The post An Ultimate Manual to Apache Oozie appeared first on Analytics Vidhya.

Hadoop 230

Hadoop Big Data Data Analytics Data Process 230

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary.

Amazon Web Services 217

Amazon Web Services Data Pipeline Machine Learning Data Science 217

Analytics Vidhya

MARCH 5, 2023

It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data. Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections.

Hadoop 246

Hadoop Data Collection Cloud Technology 246

Analytics Vidhya

MARCH 10, 2023

Introduction Snowflake is a cloud-based data warehousing platform that enables enterprises to manage vast and complicated information by providing scalable storage and processing capabilities. It is intended to be a fully managed, multi-cloud solution that does not need clients to handle hardware or software.

Cloud 240

Cloud Designing Management Process 240

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 196

Data Pipeline Data Designing Data Process 196

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. Internal comms: Chat: Slack Coordination / project management: Linear 3.

Cloud 284

Cloud AWS Metadata Cloud Computing 284

Analytics Vidhya

FEBRUARY 28, 2024

Handling and processing the streaming data is the hardest work for Data Analysis. Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources.

MongoDB 216

MongoDB Data Pipeline Kafka Building 216

Analytics Vidhya

JANUARY 30, 2023

Whether we are analyzing IoT data streams, managing scheduled events, processing document uploads, responding to database changes, etc. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions? appeared first on Analytics Vidhya.

Coding 237

Coding Database Management Process 237

Analytics Vidhya

JANUARY 31, 2023

It allows companies to process data types and run […] The post YARN for Large Scale Computing: Beginner’s Edition appeared first on Analytics Vidhya. It is designed to be more flexible and generic than the original Hadoop MapReduce system, making it an attractive choice for companies looking to implement Hadoop.

Hadoop 229

Hadoop Designing Systems Process 229