Marktechpost

JUNE 13, 2024

ELT Pipelines: Typically used for big data, these pipelines extract data, load it into data warehouses or lakes, and then transform it. It is suitable for distributed and scalable large-scale data processing, providing quick big-data query and analysis capabilities.

ETL 128

ETL Machine Learning Data Ingestion Big Data 128

Unite.AI

DECEMBER 5, 2023

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing!

Metadata 162

Metadata Big Data ETL Data Mining 162

AWS Machine Learning Blog

FEBRUARY 18, 2025

To handle the log data efficiently, raw logs were centralized into an Amazon Simple Storage Service (Amazon S3) bucket. An Amazon EventBridge schedule checked this bucket hourly for new files and triggered log transformation extract, transform, and load (ETL) pipelines built using AWS Glue and Apache Spark.

Generative AI 70

Generative AI ETL LLM AI 70

Marktechpost

APRIL 1, 2024

Existing research emphasizes the significance of distributed processing and data quality control for enhancing LLMs. Utilizing frameworks like Slurm and Spark enables efficient big data management, while data quality improvements through deduplication, decontamination, and sentence length adjustments refine training datasets.

Large Language Models 113

Large Language Models ETL Data Ingestion Data Quality 113

Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Fundamentals of Big Data Understanding the fundamentals of Big Data is crucial for anyone entering this field.

Big Data 52

Big Data Machine Learning Algorithm Data Scientist 52

Becoming Human

JANUARY 23, 2023

After understanding data science let’s discuss the second concern “ Data Science vs AI ”. So, we know that data science is a process of getting insights from data and helps the business but where this Artificial Intelligence (AI) lies?

Data Science 105

Data Science Big Data Data Mining Deep Learning 105

Flipboard

JUNE 26, 2023

Transform raw insurance data into CSV format acceptable to Neptune Bulk Loader , using an AWS Glue extract, transform, and load (ETL) job. When the data is in CSV format, use an Amazon SageMaker Jupyter notebook to run a PySpark script to load the raw data into Neptune and visualize it in a Jupyter notebook.

Auto-complete 123

Auto-complete ML Auto-classification ETL 123

AWS Machine Learning Blog

FEBRUARY 21, 2025

Previously, he was a Data & Machine Learning Engineer at AWS, where he worked closely with customers to develop enterprise-scale data infrastructure, including data lakes, analytics dashboards, and ETL pipelines.

LLM 111

LLM Large Language Models Natural Language Processing Machine Learning 111

ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. Unlike traditional data warehouses or relational databases, data lakes accept data from a variety of sources, without the need for prior data transformation or schema definition.

Big Data 98

Big Data Metadata ETL Business Intelligence 98

Marktechpost

JUNE 5, 2024

You may use OpenRefine for more than just data cleaning; it can also help you find mistakes and outliers that could compromise your data’s quality. Apache Griffin Apache Griffin is an open-source data quality tool that aims to enhance big data processes.

Data Quality 113

Data Quality Metadata Data Integration ETL 113

Pickl AI

SEPTEMBER 19, 2024

It discusses performance, use cases, and cost, helping you choose the best framework for your big data needs. Introduction Apache Spark and Hadoop are potent frameworks for big data processing and distributed computing. Apache Spark is an open-source, unified analytics engine for large-scale data processing.

Big Data 52

Big Data ETL Machine Learning Python 52

Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data. Predictive analytics can make use of both structured and unstructured data insights.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Science 52

Data Science Data Scientist ETL Machine Learning 52

ODSC - Open Data Science

OCTOBER 18, 2024

The advent of big data, affordable computing power, and advanced machine learning algorithms has fueled explosive growth in data science across industries. However, research shows that up to 85% of data science projects fail to move beyond proofs of concept to full-scale deployment.

Data Science 52

Data Science ETL Data Scientist Data Quality 52

TransOrg Analytics

AUGUST 9, 2024

Data Quality: Without proper governance, data quality can become an issue. Performance: Query performance can be slower compared to optimized data stores. Business Applications: Big Data Analytics : Supporting advanced analytics, machine learning, and artificial intelligence applications.

Machine Learning 52

Machine Learning ETL Big Data Data Quality 52

Pickl AI

OCTOBER 10, 2024

Enhanced Data Quality : These tools ensure data consistency and accuracy, eliminating errors often occurring during manual transformation. Scalability : Whether handling small datasets or processing big data, transformation tools can easily scale to accommodate growing data volumes.

ETL 52

ETL Data Quality Business Intelligence Machine Learning 52

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential.

Data Science 52

Data Science Big Data ETL Deep Learning 52

Marktechpost

AUGUST 27, 2024

This article lists the top data analysis courses that can help you build the essential skills needed to excel in this rapidly growing field. Introduction to Data Analytics This course provides a comprehensive introduction to data analysis, covering the roles of data professionals, data ecosystems, and Big Data tools like Hadoop and Spark.

Data Analysis 57

Data Analysis Python ETL Data Scientist 57

ODSC - Open Data Science

SEPTEMBER 29, 2023

But, the amount of data companies must manage is growing at a staggering rate. Research analyst firm Statista forecasts global data creation will hit 180 zettabytes by 2025. In our discussion, we cover the genesis of the HPCC Systems data lake platform and what makes it different from other big data solutions currently available.

Big Data 52

Big Data ETL Data Science Data Ingestion 52

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks. MongoDB, developed by MongoDB Inc.,

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

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 Science 52

Data Science ETL Big Data Machine Learning 52

Marktechpost

JULY 23, 2023

Big data analytics are supported by scalable, object-oriented services. Each of the “buckets” used to store data has a maximum capacity of 5 terabytes. Db2 Warehouse A fully managed, scalable cloud data storage platform is IBM Db2 Warehouse. Pre-ETL mapping was first used by Analytics pioneer Mike Boggs.

Machine Learning 52

Machine Learning ETL Big Data Data Integration 52

AWS Machine Learning Blog

AUGUST 21, 2023

Our customers wanted the ability to connect to Amazon EMR to run ad hoc SQL queries on Hive or Presto to query data in the internal metastore or external metastore (such as the AWS Glue Data Catalog ), and prepare data within a few clicks. Isha Dua is a Senior Solutions Architect based in the San Francisco Bay Area.

Data Scientist 93

Data Scientist Machine Learning ML Big Data 93

AWS Machine Learning Blog

NOVEMBER 29, 2023

For instance, a notebook that monitors for model data drift should have a pre-step that allows extract, transform, and load (ETL) and processing of new data and a post-step of model refresh and training in case a significant drift is noticed.

Data Drift 101

Data Drift BERT Data Scientist Python 101

ODSC - Open Data Science

OCTOBER 9, 2024

Efficient Incremental Processing with Apache Iceberg and Netflix Maestro Dimensional Data Modeling in the Modern Era Building Big Data Workflows: NiFi, Hive, Trino, & Zeppelin An Introduction to Data Contracts From Data Mess to Data Mesh — Data Management in the Age of Big Data and Gen AI Introduction to Containers for Data Science / Data Engineering (..)

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40

Pickl AI

APRIL 26, 2024

The mode is the value that appears most frequently in a data set. Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Data Warehousing and ETL Processes What is a data warehouse, and why is it important?

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

AWS Machine Learning Blog

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) applications powered by large language models (LLMs) are rapidly gaining traction for question answering use cases. About the Authors Samantha Stuart is a Data Scientist with AWS Professional Services, and has delivered for customers across generative AI, MLOps, and ETL engagements.

Generative AI 89

Generative AI LLM AI AI 89

Flipboard

NOVEMBER 24, 2023

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

ETL 158

ETL Prompt Engineering Prompt Engineer Generative AI 158

AWS Machine Learning Blog

SEPTEMBER 18, 2024

The ZMP analyzes billions of structured and unstructured data points to predict consumer intent by using sophisticated artificial intelligence (AI) to personalize experiences at scale. Though it’s worth mentioning that Airflow isn’t used at runtime as is usual for extract, transform, and load (ETL) tasks.

Machine Learning 112

Machine Learning Data Scientist ML Data Ingestion 112

Pickl AI

JUNE 11, 2024

Let’s delve into the key components that form the backbone of a data warehouse: Source Systems These are the operational databases, CRM systems, and other applications that generate the raw data feeding the data warehouse. Data Extraction, Transformation, and Loading (ETL) This is the workhorse of architecture.

ETL 52

ETL Data Mining Data Integration Actionable Intelligence 52

AWS Machine Learning Blog

AUGUST 2, 2024

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries.

Generative AI 111

Generative AI LLM Machine Learning Data Scientist 111

Pickl AI

MARCH 10, 2025

Power Query Power Query is a powerful ETL (Extract, Transform, Load) tool within Power BI that helps users clean and transform raw data into usable formats. Key Features Data Cleaning Functions: Remove duplicates, fill missing values, or standardise formats. Impact: Scales seamlessly as organisational data grows.

Business Intelligence 52

Business Intelligence ETL Data Analysis Natural Language Processing 52

Marktechpost

NOVEMBER 23, 2024

This article lists the top data analysis courses that can help you build the essential skills needed to excel in this rapidly growing field. Introduction to Data Analytics This course provides a comprehensive introduction to data analysis, covering the roles of data professionals, data ecosystems, and Big Data tools like Hadoop and Spark.

Data Analysis 113

Data Analysis Python ETL Data Scientist 113