2024, Big Data and ETL - Data Science Current

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

FEBRUARY 21, 2025

Lets assume that the question What date will AWS re:invent 2024 occur? The corresponding answer is also input as AWS re:Invent 2024 takes place on December 26, 2024. invoke_agent("What are the dates for reinvent 2024?", A: 'The AWS re:Invent conference was held from December 2-6 in 2024.' Query processing: a.

AWS

AWS Natural Language Processing Machine Learning Machine Learning

What is Hadoop Distributed File System (HDFS) in Big Data?

Pickl AI

JANUARY 27, 2025

Summary: HDFS in Big Data uses distributed storage and replication to manage massive datasets efficiently. By co-locating data and computations, HDFS delivers high throughput, enabling advanced analytics and driving data-driven insights across various industries. between 2024 and 2030. It fosters reliability.

Hadoop

Hadoop Big Data Big Data Clustering

How Formula 1® uses generative AI to accelerate race-day issue resolution

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.

AWS

AWS Database ETL AI

Top ETL Tools: Unveiling the Best Solutions for Data Integration

Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Choosing the right ETL tool is crucial for smooth data management.

ETL

ETL Data Quality Data Pipeline Data Warehouse

Best Data Engineering Tools Every Engineer Should Know

Pickl AI

MARCH 19, 2025

It is ideal for handling unstructured or semi-structured data, making it perfect for modern applications that require scalability and fast access. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. It integrates well with various data sources, making analysis easier.

Data Engineering

Data Engineering Data Engineering Data Engineering Data Engineer

How Gardenia Technologies helps customers create ESG disclosure reports 75% faster using agentic generative AI on Amazon Bedrock

AWS Machine Learning Blog

JUNE 11, 2025

The tool uses natural language requests, such as “What were our Scope 2 emissions in 2024,” as input and returns the results from the emissions database. Using Report GenAI, OHI tracked their GHG inventory and relevant KPIs in real time and then prepared their 2024 CDP submission in just one week.

AWS

AWS SQL Database AI

AWS Athena and Glue a Powerful Combo?

Towards AI

APRIL 3, 2024

Last Updated on April 3, 2024 by Editorial Team Author(s): Harish Siva Subramanian Originally published on Towards AI. The ORC and Parquet are columnal storage and they are famous in the Big Data world because of their efficient storage. Create a new Glue Crawler to discover and catalog your data in S3.

AWS

AWS Database ETL Big Data

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega…

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

Data Visualization Analytics Analytics Big Data Analytics

Discover the Most Important Fundamentals of Data Engineering

Pickl AI

NOVEMBER 4, 2024

Introduction Data Engineering is the backbone of the data-driven world, transforming raw data into actionable insights. As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. ETL is vital for ensuring data quality and integrity.

Data Engineering

Data Engineering Data Engineering Data Engineering Data Engineer

Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning Blog

MARCH 5, 2025

Dollar Unit Equivalencies: `1,234 million 1.234 billion` - Date Format Equivalencies: `2024-01-01 January 1st 2024` - Number Equivalencies: `1 one` - Start your response immediately with the question-answer-fact set JSON, and separate each extracted JSON record with a newline. See for examples.

AWS

AWS AI AI Machine Learning

Bringing Declarative Pipelines to the Apache Spark™ Open Source Project

databricks

JUNE 12, 2025

Apache Spark™ has become the de facto engine for big data processing, powering workloads at some of the largest organizations in the world. This standard simplifies pipeline development across batch and streaming workloads.

SQL

SQL Data Engineer Data Engineering Data Engineering

Your Essential Guide to MongoDB Interview Questions and Answers

Pickl AI

JULY 18, 2024

In contrast, MongoDB uses a more straightforward query language that works well with JSON data structures. MongoDB’s horizontal scaling capabilities surpass relational databases’ typical vertical scaling limitations, making it suitable for big data applications. 2024’s top Power BI interview questions simplified.

Database

Database SQL Data Analyst Database Administration

Access Amazon Redshift Managed Storage tables through Apache Spark on AWS Glue and Amazon EMR using Amazon SageMaker Lakehouse

Flipboard

MAY 15, 2025

It secures your data in the lakehouse by defining fine-grained permissions, which are consistently applied across all analytics and ML tools and engines. You can bring data from operational databases and applications into your lakehouse in near real time through zero-ETL integrations.

AWS

AWS SQL Data Lakes Data Warehouse

Databricks at SIGMOD 2025

databricks

JUNE 16, 2025

This work overcomes fragmented governance solutions, where fine-grained access control could only be enforced for SQL workloads, while big data processing with frameworks such as Apache Spark relied on coarse-grained governance at the file level with cluster-bound data access.

Data Science

Data Science Artificial Intelligence Business Intelligence Business Intelligence

Parameta accelerates client email resolution with Amazon Bedrock Flows

AWS Machine Learning Blog

JANUARY 7, 2025

We start with the following sample client email: Dear Support Team, Could you please verify the closing price for the Dollar ATM swaption (USD_2Y_1Y) as of March 15, 2024? About the Authors Siokhan Kouassi is a Data Scientist at Parameta Solutions with expertise in statistical machine learning, deep learning, and generative AI.

AWS

AWS AI AI ML

Data Science Current

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

What is Hadoop Distributed File System (HDFS) in Big Data?

Trending Sources

How Formula 1® uses generative AI to accelerate race-day issue resolution

Top ETL Tools: Unveiling the Best Solutions for Data Integration

Best Data Engineering Tools Every Engineer Should Know

How Gardenia Technologies helps customers create ESG disclosure reports 75% faster using agentic generative AI on Amazon Bedrock

AWS Athena and Glue a Powerful Combo?

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega…

Discover the Most Important Fundamentals of Data Engineering

Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

Bringing Declarative Pipelines to the Apache Spark™ Open Source Project

Your Essential Guide to MongoDB Interview Questions and Answers

Access Amazon Redshift Managed Storage tables through Apache Spark on AWS Glue and Amazon EMR using Amazon SageMaker Lakehouse

Databricks at SIGMOD 2025

Parameta accelerates client email resolution with Amazon Bedrock Flows

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