Pickl AI

DECEMBER 26, 2024

GCPs Vertex AI enables scalable AI development and deployment with integrated tools for Big Data Analytics. Key Features Tailored for Data Science These platforms offer specialised features to enhance productivity. This delay can hinder real-time analytics and Machine Learning workflows.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 119

Big Data Big Data Data Engineering Data Engineer 119

AWS Machine Learning Blog

FEBRUARY 21, 2025

Rajesh Nedunuri is a Senior Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team. He specializes in designing, building, and optimizing large-scale data solutions.

AWS 115

AWS Natural Language Processing Machine Learning Machine Learning 115

Smart Data Collective

APRIL 2, 2019

Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. There were a lot of promises made about Big Data that fell at the feet of data scientists to make happen.

Data Lakes 106

Data Lakes Big Data Big Data Data Scientist 106

Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Hence, data science bootcamps are well-positioned to meet the increasing demand for data science skills.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

Data Visualization 52

Data Visualization Analytics Analytics Big Data Analytics 52

Pickl AI

DECEMBER 26, 2024

Traditional marketing methods rely on guesswork, whereas Big Data harnesses consumer behaviour insights to craft personalised, impactful strategies. The global Big Data analytics market, valued at $307.51 This blog explores how Big Data is redefining marketing materials to meet evolving objectives.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

DECEMBER 9, 2024

Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 Turning raw data into meaningful insights helps businesses anticipate trends, understand consumer behaviour, and remain competitive in a rapidly changing world.

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

AWS Machine Learning Blog

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

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AWS ML ML Machine Learning 126

IBM Journey to AI blog

SEPTEMBER 4, 2024

Kafka helps simplify the communication between customers and businesses, using its data pipeline to accurately record events and keep records of orders and cancellations—alerting all relevant parties in real-time.

Apache Kafka 58

Apache Kafka Internet of Things Data Pipeline Clustering 58

IBM Journey to AI blog

AUGUST 6, 2024

Big data analytics Serverless dramatically reduces the cost and complexity of writing and deploying code for big data applications. Additionally, serverless’ always-on capabilities mean data pipelines can be designed in a way to react to real-time changes in data and change application logic accordingly.

Cloud Computing 45

Cloud Computing Internet of Things Big Data Big Data 45

Pickl AI

SEPTEMBER 5, 2024

This section explores popular software and frameworks for Data Analysis and modelling is designed to cater to the diverse needs of Data Scientists: Azure Data Factory This cloud-based data integration service enables the creation of data-driven workflows for orchestrating and automating data movement and transformation.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

The MLOps Blog

AUGUST 11, 2023

Internally within Netflix’s engineering team, Meson was built to manage, orchestrate, schedule, and execute workflows within ML/Data pipelines. Meson managed the lifecycle of ML pipelines, providing functionality such as recommendations and content analysis, and leveraged the Single Leader Architecture.

ML 52

ML ML Machine Learning Machine Learning 52

Towards AI

NOVEMBER 15, 2024

Image by author Hello Welcome to the Azure Data Engineer Project Series, Before building the Data Architecture or any data pipelines in any cloud platform, we need to know the basic terms each platform uses and how the platform will work. Here is the data pipeline building from ADLS to Azure SQL DB.

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Azure Data Engineering Data Engineer Data Engineering 111

AWS Machine Learning Blog

NOVEMBER 12, 2024

The first step in developing and deploying generative AI use cases is having a well-defined data strategy. Their data pipeline (as shown in the following architecture diagram) consists of ingestion, storage, ETL (extract, transform, and load), and a data governance layer. Agmatix’s technology architecture is built on AWS.

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AWS AI AI Data Lakes 108

Pickl AI

MARCH 13, 2025

Kafka excels in real-time data streaming and scalability. Choose Kafka for big data, analytics, and event-driven applications. IoT applications : Managing large volumes of sensor data from smart devices. Big data pipelines : Moving data between systems for analytics and AI applications.

Apache Kafka 52

Apache Kafka Big Data Big Data Data Pipeline 52