AWS and Big Data - Data Science Current

AWS Glue for Handling Metadata

Analytics Vidhya

AUGUST 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction AWS Glue helps Data Engineers to prepare data for other data consumers through the Extract, Transform & Load (ETL) Process. The post AWS Glue for Handling Metadata appeared first on Analytics Vidhya.

AWS

AWS ETL Big Data Big Data

Data Ingestion Featuring AWS

Analytics Vidhya

JUNE 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Big Data is everywhere, and it continues to be a gearing-up topic these days. And Data Ingestion is a process that assists a group or management to make sense of the ever-increasing volume and complexity of data and provide useful insights.

AWS

AWS Big Data Big Data Data Science

What Are the Best Practices for Deploying PySpark on AWS?

Analytics Vidhya

NOVEMBER 7, 2023

Introduction In big data and advanced analytics, PySpark has emerged as a powerful tool for processing large datasets and analyzing distributed data. Deploying PySpark on AWS applications on the cloud can be a game-changer, offering scalability and flexibility for data-intensive tasks.

AWS

AWS Big Data Big Data Analytics

Webinars

How to Achieve High-Accuracy Results When Using LLMs

MORE WEBINARS

Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

Flipboard

NOVEMBER 15, 2024

By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment. Python and boto3.

AWS

AWS Database AI AI

What is AWS EMR? Here’s Everything you Need to Know

Analytics Vidhya

MARCH 4, 2024

This question has plagued many businesses and organizations as they navigate the complexities of big data. Enter AWS EMR, or Amazon Elastic […] The post What is AWS EMR? From log analysis to financial modeling, the need for scalable and flexible solutions has never been greater.

AWS

AWS Big Data Big Data Analytics

Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning Blog

NOVEMBER 6, 2024

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. Choose the us-east-1 AWS Region from the top right corner. Choose Manage model access.

AWS

AWS Python AI AI

Basic Concept and Backend of AWS Elasticsearch

Analytics Vidhya

OCTOBER 4, 2022

It takes unstructured data from multiple sources as input and stores it […]. The post Basic Concept and Backend of AWS Elasticsearch appeared first on Analytics Vidhya. It is a Lucene-based search engine developed in Java but supports clients in various languages such as Python, C#, Ruby, and PHP.

AWS

AWS Data Science Python Analytics

AWS Announces Generative AI Innovation Center with $100 million Investment

insideBIGDATA

JUNE 22, 2023

AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the AWS Generative AI Innovation Center, a new program to help customers successfully build and deploy generative artificial intelligence (AI) solutions. Amazon Web Services, Inc.

AWS

AWS Artificial Intelligence Artificial Intelligence Machine Learning

Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

JULY 24, 2023

The generation and accumulation of vast amounts of data have become a defining characteristic of our world. This data, often referred to as Big Data , encompasses information from various sources, including social media interactions, online transactions, sensor data, and more. databases), semi-structured data (e.g.,

Big Data

Big Data Big Data Data Engineering Data Engineer

AWS and NVIDIA Extend Collaboration to Advance Generative AI Innovation

insideBIGDATA

MARCH 22, 2024

GTC—Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and NVIDIA (NASDAQ: NVDA) today announced that the new NVIDIA Blackwell GPU platform—unveiled by NVIDIA at GTC 2024—is coming to AWS.

AWS

AWS Artificial Intelligence Artificial Intelligence AI

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

AWS

AWS AI AI Python

AWS Announces Amazon DataZone GA to Simplify Data Discovery and Governance

insideBIGDATA

OCTOBER 6, 2023

Amazon Web Services (AWS) announced the general availability of Amazon DataZone, a data management service that enables customers to catalog, discover, govern, share, and analyze data at scale across organizational boundaries.

AWS

AWS Cloud Data Big Data Big Data

Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

OCTOBER 19, 2022

A growing number of companies are discovering the benefits of investing in big data technology. Companies around the world spent over $160 billion on big data technology last year and that figure is projected to grow 11% a year for the foreseeable future. Unfortunately, big data technology is not without its challenges.

Big Data

Big Data Big Data Database AWS

Amazon Kinesis vs. Apache Kafka For Big Data Analysis

Dataconomy

MAY 26, 2017

Amazon Kinesis is a platform to build pipelines for streaming data at the scale of terabytes per hour. The post Amazon Kinesis vs. Apache Kafka For Big Data Analysis appeared first on Dataconomy. Parts of the Kinesis platform are.

Apache Kafka

Apache Kafka Data Analysis Data Analysis Big Data

Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

Flipboard

NOVEMBER 22, 2024

Solution overview The following diagram illustrates the ML platform reference architecture using various AWS services. The functional architecture with different capabilities is implemented using a number of AWS services, including AWS Organizations , Amazon SageMaker , AWS DevOps services, and a data lake.

Data Governance

Data Governance ML ML Data Lakes

Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito

Flipboard

NOVEMBER 19, 2024

The solution workflow consists of the following steps: The user accesses a smart search portal and lands on a web interface deployed on AWS Amplify. The API is integrated with AWS Lambda , which processes the user query and generates the answers based on available documents and user access using retrieval augmented generation (RAG).

AWS

AWS AI AI Big Data

Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

Flipboard

NOVEMBER 27, 2024

To implement this solution, complete the following steps: Set up Zero-ETL integration from the AWS Management Console for Amazon Relational Database Service (Amazon RDS). An AWS Identity and Access Management (IAM) user with sufficient permissions to interact with the AWS Management Console and related AWS services.

ETL

ETL Data Warehouse Analytics Analytics

DataOps.live Delivers New AIOps Capabilities with Snowflake Cortex and AWS Bedrock for End-to-End AI Workload Lifecycle Management

insideBIGDATA

SEPTEMBER 19, 2024

DataOps.live, The Data Products Company™, announced the immediate availability of its new range of AIOps capabilities, a groundbreaking set of features that provides end-to-end lifecycle management of AI workloads from development to production.

AWS

AWS AI AI Big Data

Unstructured data management and governance using AWS AI/ML and analytics services

Flipboard

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. In this post, we discuss how AWS can help you successfully address the challenges of extracting insights from unstructured data. The solution integrates data in three tiers.

AWS

AWS ML ML Analytics

OpenStreetMap's New Vector Tiles

Hacker News

NOVEMBER 19, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop

Hadoop Big Data Big Data AWS

Satellites Spotting Ships

Hacker News

JUNE 18, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop

Hadoop Big Data Big Data AWS

Top 26 Data Science Tools for Data Scientists in 2024

Analytics Vidhya

DECEMBER 12, 2023

Introduction The field of data science is evolving rapidly, and staying ahead of the curve requires leveraging the latest and most powerful tools available. In 2024, data scientists have a plethora of options to choose from, catering to various aspects of their work, including programming, big data, AI, visualization, and more.

Data Scientist

Data Scientist Data Science Big Data Big Data

Satellites Spotting Aircraft

Hacker News

SEPTEMBER 9, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop

Hadoop Big Data Big Data AWS

Top 10 AI and Data Science Trends in 2022

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better.

Data Science

Data Science Natural Language Processing Deep Learning Deep Learning

10 Things AWS Can Do for Your SaaS Company

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

AWS

AWS Cloud Computing Data Lakes Database

Cloud adoption on the rise for marketing and sales companies as AWS and Azure dominate

Dataconomy

AUGUST 25, 2017

Leaders Amazon Web Services (AWS) and Microsoft Azure also continue to control majority of the public cloud market. The post Cloud adoption on the rise for marketing and sales companies as AWS and Azure dominate appeared first on Dataconomy. Organizations are also looking to benefit from increased cloud adoption.

Azure

Azure AWS Cloud Computing Big Data

Maxar's Open Satellite Feed

Hacker News

NOVEMBER 13, 2023

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop

Hadoop Big Data Big Data AWS

Foursquare's 104M Points of Interest

Hacker News

NOVEMBER 22, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop

Hadoop Big Data Big Data AWS

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning Blog

OCTOBER 16, 2024

DPG Media chose Amazon Transcribe for its ease of transcription and low maintenance, with the added benefit of incremental improvements by AWS over the years. The flexibility to experiment with multiple models was appreciated, and there are plans to try out Anthropic Claude Opus when it becomes available in their desired AWS Region.

AWS

AWS AI AI Big Data

Guide to Migrating from Databricks Delta Lake to Apache Iceberg

Analytics Vidhya

MARCH 28, 2024

Introduction In the fast changing world of big data processing and analytics, the potential management of extensive datasets serves as a foundational pillar for companies for making informed decisions. It helps them to extract useful insights from their data.

Big Data

Big Data Big Data Analytics Analytics

Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 30, 2023

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

AWS

AWS ML ML AI

Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

Flipboard

JUNE 26, 2023

In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience. Run the AWS Glue ML transform job.

AWS

AWS ML ML ETL

Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning Blog

FEBRUARY 26, 2024

By using AWS services, our architecture provides real-time visibility into LLM behavior and enables teams to quickly identify and address any issues or anomalies. In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda.

AWS

AWS Machine Learning Machine Learning Big Data

Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

AWS Machine Learning Blog

NOVEMBER 20, 2024

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. Complete the following steps: Choose an AWS Region Amazon Q supports (for this post, we use the us-east-1 Region). aligned identity provider (IdP).

Database

Database AWS SQL ETL

Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

AWS

AWS Machine Learning Machine Learning Deep Learning

Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

OCTOBER 31, 2024

The rise of big data technologies and the need for data governance further enhance the growth prospects in this field. Machine Learning Engineer Description Machine Learning Engineers are responsible for designing, building, and deploying machine learning models that enable organizations to make data-driven decisions.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Global EV Charging Points with Open Charge Map

Hacker News

SEPTEMBER 25, 2024

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More.

Hadoop

Hadoop Big Data Big Data AWS

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. If the question was Whats the schedule for AWS events in December?, This setup uses the AWS SDK for Python (Boto3) to interact with AWS services.

AWS

AWS Natural Language Processing Machine Learning Machine Learning

Insiders Cite The Wondrous Benefits Of Big Data In Fortnite

Smart Data Collective

AUGUST 9, 2019

Big data in the gaming industry has played a phenomenal role in the field. We have previously talked about the benefits of using big data by gaming providers that offer cash games, such as slots. However, more mainstream games use big data as well. Big data has made that much easier.

Big Data

Big Data Big Data Data Lakes Machine Learning

AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

AUGUST 12, 2024

Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that.

Big Data

Big Data Big Data ML ML

Microsoft Azure vs. Google Cloud Platform

Analytics Vidhya

AUGUST 23, 2023

It is found that among the two, Microsoft Azure proposes the most effective and adaptable software solution, while Google Cloud Platform (GCP) presents sophisticated big data analytics solutions and facilitates simple integration with other vendor products.

Azure

Azure Big Data Analytics Big Data Analytics Cloud Computing

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

DECEMBER 7, 2023

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. AWS Step Functions automatically initiate and monitor these workflows by simplifying error handling.

AWS

AWS Algorithm Data Science Machine Learning

Real value, real time: Production AI with Amazon SageMaker and Tecton

AWS Machine Learning Blog

DECEMBER 4, 2024

Expand to generative AI use cases with your existing AWS and Tecton architecture After you’ve developed ML features using the Tecton and AWS architecture, you can extend your ML work to generative AI use cases. You can also find Tecton at AWS re:Invent. This process is shown in the following diagram.

ML

ML ML AWS AI

Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning Blog

MARCH 15, 2024

The need for federated learning in healthcare Healthcare relies heavily on distributed data sources to make accurate predictions and assessments about patient care. Limiting the available data sources to protect privacy negatively affects result accuracy and, ultimately, the quality of patient care.

AWS

AWS ML ML Machine Learning

AWS Glue for Handling Metadata

Data Ingestion Featuring AWS

Webinars

Trending Sources

What Are the Best Practices for Deploying PySpark on AWS?

Webinars

Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

What is AWS EMR? Here’s Everything you Need to Know

Build and deploy a UI for your generative AI applications with AWS and Python

Basic Concept and Backend of AWS Elasticsearch

AWS Announces Generative AI Innovation Center with $100 million Investment

Big data engineering simplified: Exploring roles of distributed systems

AWS and NVIDIA Extend Collaboration to Advance Generative AI Innovation

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Announces Amazon DataZone GA to Simplify Data Discovery and Governance

Comparing DynamoDB and MongoDB for Big Data Management

Amazon Kinesis vs. Apache Kafka For Big Data Analysis

Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito

Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

DataOps.live Delivers New AIOps Capabilities with Snowflake Cortex and AWS Bedrock for End-to-End AI Workload Lifecycle Management

Unstructured data management and governance using AWS AI/ML and analytics services

OpenStreetMap's New Vector Tiles

Satellites Spotting Ships

Top 26 Data Science Tools for Data Scientists in 2024

Satellites Spotting Aircraft

Top 10 AI and Data Science Trends in 2022

10 Things AWS Can Do for Your SaaS Company

Cloud adoption on the rise for marketing and sales companies as AWS and Azure dominate

Maxar's Open Satellite Feed

Foursquare's 104M Points of Interest

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

Guide to Migrating from Databricks Delta Lake to Apache Iceberg

Use AWS PrivateLink to set up private access to Amazon Bedrock

Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

Techniques and approaches for monitoring large language models on AWS

Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Global EV Charging Points with Open Charge Map

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

Insiders Cite The Wondrous Benefits Of Big Data In Fortnite

AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

Microsoft Azure vs. Google Cloud Platform

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

Real value, real time: Production AI with Amazon SageMaker and Tecton

Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

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