Analytics Vidhya

SEPTEMBER 22, 2022

This article was published as a part of the Data Science Blogathon. Dale Carnegie” Apache Kafka is a Software Framework for storing, reading, and analyzing streaming data. The post Build a Simple Realtime Data Pipeline appeared first on Analytics Vidhya. Introduction “Learning is an active process.

Data Pipeline 229

Data Pipeline Apache Kafka Internet of Things Data Science 229

databricks

DECEMBER 12, 2022

Releasing any data pipeline or application into a production state requires planning, testing, monitoring, and maintenance. Streaming pipelines are no different in this.

Data Pipeline 130

Data Pipeline 130

Towards AI

FEBRUARY 29, 2024

Diagram by author As technology continues to advance, the generation of data increases exponentially. In this dynamically changing landscape, businesses must pivot towards data-driven models to maintain a competitive edge. Real-time data streaming pipelines play a crutial role in achieving this objective.

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Apache Kafka SQL Clustering Data Pipeline 127

Data Science Dojo

JULY 6, 2023

Data engineering tools are software applications or frameworks specifically designed to facilitate the process of managing, processing, and transforming large volumes of data. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Dataversity

NOVEMBER 15, 2023

Those who want to design universal data pipelines and ETL testing tools face a tough challenge because of the vastness and variety of technologies: Each data pipeline platform embodies a unique philosophy, architectural design, and set of operations.

Data Pipeline 59

Data Pipeline ETL Data Governance Data Quality 59

Mlearning.ai

DECEMBER 21, 2023

Explore ML architectural patterns in Azure for classic and evolving needs – streaming data, model monitoring, and multiple models pipeline Continue reading on MLearning.ai »

Azure 52

Azure ML ML Data Modeling 52

Dataconomy

MAY 26, 2017

Data processing today is done in form of pipelines which include various steps like aggregation, sanitization, filtering and finally generating insights by applying various statistical models. Amazon Kinesis is a platform to build pipelines for streaming data at the scale of terabytes per hour.

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Apache Kafka Data Analysis Data Analysis Big Data 155

IBM Journey to AI blog

MARCH 14, 2024

Apache Kafka stands as a widely recognized open source event store and stream processing platform. It has evolved into the de facto standard for data streaming, as over 80% of Fortune 500 companies use it. All major cloud providers provide managed data streaming services to meet this growing demand.

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Apache Kafka Data Pipeline 92

Dataversity

MAY 26, 2023

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

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Data Pipeline Data Warehouse Data Quality Data Observability 52

The MLOps Blog

FEBRUARY 5, 2023

What comes into your mind when you hear Streaming Data? May be data generated through video streaming platforms like YouTube, but this is not the only thing which qualifies as streaming data. There are many platforms and sources that generate this kind of data. What is streaming data?

Machine Learning 73

Machine Learning Machine Learning Data Pipeline Apache Kafka 73

The MLOps Blog

MARCH 15, 2023

If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the data modeling stage. This is what data processing pipelines do for you.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59

IBM Journey to AI blog

NOVEMBER 29, 2023

Complex event processing (CEP) enables teams to transform their raw business events into relevant and actionable insights, to gain a persistent, up-to-date view of their critical data and to quickly move data to where it is needed, in the structure it’s needed in.

Artificial Intelligence 92

Artificial Intelligence Artificial Intelligence Apache Kafka AI 92

Precisely

SEPTEMBER 12, 2023

As a proud member of the Connect with Confluent program , we help organizations going through digital transformation and IT infrastructure modernization break down data silos and power their streaming data pipelines with trusted data. That’s where our Precisely data integrity solutions come in.

Data Silos 52

Data Silos Apache Kafka Data Pipeline Data Quality 52

Precisely

JULY 21, 2023

Organizations face increasing demands for real-time processing and analysis of large volumes of data. Used by more than 75% of the Fortune 500, Apache Kafka has emerged as a powerful open source data streaming platform to meet these challenges. This is where Confluent steps in.

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Apache Kafka Data Silos Data Pipeline Analytics 52

phData

APRIL 23, 2024

Businesses are faced with an unprecedented number of data sources that drive their day-to-day operations. To muddy the waters further, how businesses access their data is inconsistent across sources, from APIs to databases, data streams, and more. What Business Challenges Does Fivetran Solve?

Data Governance 52

Data Governance Data Pipeline Data Warehouse Cloud Data 52

AWS Machine Learning Blog

DECEMBER 19, 2023

Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Data and model management provide a central capability that governs ML artifacts throughout their lifecycle.

Machine Learning 104

Machine Learning Machine Learning AWS Analytics 104

PyImageSearch

APRIL 3, 2023

Jump Right To The Downloads Section Deploying a Custom Image Classifier on an OAK-D Introduction As a deep learning engineer or practitioner, you may be working in a team building a product that requires you to train deep learning models on a specific data modality (e.g., computer vision) on a daily basis. Then, we will move on to the config.py

Deep Learning 64

Deep Learning Deep Learning AI AI 64

IBM Journey to AI blog

NOVEMBER 3, 2023

As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making. Stream processing is at the core of real-time data. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.

Apache Kafka 78

Apache Kafka Data Warehouse Data Pipeline SQL 78

phData

APRIL 29, 2024

In our previous blog, Top 5 Fivetran Connectors for Financial Services , we explored Fivetran’s capabilities that address the data integration needs of the finance industry. Now, let’s cover the healthcare industry, which also has a surging demand for data and analytics, along with the underlying processes to make it happen.

SQL 52

SQL Azure Data Warehouse Cloud Data 52

Data Science Dojo

MARCH 7, 2024

In the dynamic world of machine learning and natural language processing (NLP), database optimization is crucial for effective data handling. These sophisticated platforms have emerged as indispensable tools, providing a robust infrastructure for managing the intricate data structures generated by large language models.

Database 273

Database Machine Learning Machine Learning Natural Language Processing 273

phData

JUNE 14, 2023

In recent years, data engineering teams working with the Snowflake Data Cloud platform have embraced the continuous integration/continuous delivery (CI/CD) software development process to develop data products and manage ETL/ELT workloads more efficiently. What Are the Benefits of CI/CD Pipeline For Snowflake?

Data Pipeline 52

Data Pipeline Database SQL Data Engineering 52

Flipboard

MARCH 13, 2023

With terabytes of data generated by the product, the security analytics team focuses on building machine learning (ML) solutions to surface critical attacks and spotlight emerging threats from noise. We discuss what we achieved so far, further enhancements to the pipeline, and lessons learned along the way.

ML 102

ML ML AWS Data Scientist 102

Flipboard

FEBRUARY 15, 2023

JumpStart APIs unlock the usage of JumpStart capabilities in your workflows, and integrate with tools such as the model registry that are part of MLOps pipelines and anywhere else you’re interacting with SageMaker via SDK. In the next section, we demonstrate how you can use SageMaker Pipelines and SageMaker Projects to set up MLOps.

ML 112

ML ML AWS Natural Language Processing 112

Towards AI

FEBRUARY 25, 2023

How to consume a Linked Data Event Stream and store it in a TimescaleDB database Photo by Scott Graham on Unsplash Linked data event stream Linked Data Event Streams represent and share fast and slow-moving data on the Web using the Resource Description Framework (RDF). and PostgreSQL 14.4

Database 88

Database Data Pipeline AI AI 88

Towards AI

FEBRUARY 12, 2024

When processing big data, efficiency is key. I was recently caught in such a debugging train when one of my pipelines was taking longer than expected. It was a simple structured streaming pipeline that was listening to a Kafka topic for events and performing some transformations on it, before emitting the output to another Kafka topic.

Big Data 83

Big Data Big Data AI AI 83

Mlearning.ai

JULY 8, 2023

Image generated by Stable Diffusion Managing data workflows isn’t something new. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. There are mainly 2 different types of ETL: batch and streaming.

ETL 52

ETL Azure Python Internet of Things 52

IBM Data Science in Practice

MARCH 8, 2023

Additionally, imagine being a practitioner, such as a data scientist, data engineer, or machine learning engineer, who will have the daunting task of learning how to use a multitude of different tools. This complexity is compounded even further by the need to manage data across hybrid and multi-cloud environments.

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Machine Learning Machine Learning ML ML 264

AWS Machine Learning Blog

JANUARY 6, 2023

The rules in this engine were predefined and written in SQL, which aside from posing a challenge to manage, also struggled to cope with the proliferation of data from TR’s various integrated data source. TR customer data is changing at a faster rate than the business rules can evolve to reflect changing customer needs.

AWS 66

AWS Data Warehouse ML ML 66

Becoming Human

JUNE 5, 2023

However, traditional machine learning models have struggled to keep pace with the dynamic nature of our rapidly evolving world, hindering their effectiveness in handling the influx of data generated by the Internet of Things (IoT) and autonomous vehicles. Adaptive AI models can evolve and adapt in real-time as new data becomes available.

AI 106

AI AI Artificial Intelligence Artificial Intelligence 106

Pickl AI

AUGUST 1, 2023

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Data engineering has become an integral part of the modern tech landscape, driving advancements and efficiencies across industries. So let’s explore the world of open-source tools for data engineers, shedding light on how these resources are shaping the future of data handling, processing, and visualization.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

APRIL 5, 2024

With an endless stream of documents that live on the internet and internally within organizations, the hardest challenge hasn’t been finding the information, it is taking the time to read, analyze, and extract it. Enhances BI Tools Business Intelligence tools are one of the most popular ways to get more actionable insights out of your data.

AI 52

AI AI Natural Language Processing Tableau 52

Hacker News

JULY 4, 2023

We investigated various techniques to maximize the efficiency of Apache Arrow, aiming to find the optimal balance between data compression ratio and queryability. Invariably, the content of this telemetry stream will change in volume and nature over time. to 5x better than the original OTLP protocol.

Data Modeling 123

Data Modeling Data Models Data Observability 123

phData

MAY 3, 2024

Leveraging real-time analytics to make informed decisions is the golden standard for virtually every business that collects data. If you have the Snowflake Data Cloud (or are considering migrating to Snowflake ), you’re a blog away from taking a step closer to real-time analytics. Example: openssl rsa -in C:tmpnew_rsa_key_v1.p8

Apache Kafka 52

Apache Kafka Analytics Analytics ETL 52

phData

FEBRUARY 14, 2023

The most crucial step you need to perform before you begin to use the Snowflake Data Cloud as your data warehousing solution is to get your data loaded into Snowflake. Data integration is essentially the Extract and Load portion of the Extract, Load, and Transform (ELT) process.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

ODSC - Open Data Science

JULY 14, 2023

AI and Bias: How to Detect It and How to Prevent It Sandra Wachter, PhD | Professor, Technology and Regulation | Oxford Internet Institute, University of Oxford In recognition of the extensive biases and inequality that are present in training data, there has been much work done to test for bias in machine learning and AI systems.

Machine Learning 52

Machine Learning Machine Learning Apache Kafka Data Science 52

Towards AI

FEBRUARY 15, 2024

Avery has tremendous expertise in education and gives really good tips and advice about switching fields and getting into AI, specifically data analytics. They dive into Avery’s secret formula for landing your first data job in 90 days and how to harness AI for learning and growth in the data analytics realm!

AI 98

AI AI Supervised Learning Analytics 98