Pickl AI

AUGUST 1, 2023

Data Engineering plays a critical role in enabling organizations to efficiently collect, store, process, and analyze large volumes of data. It is a field of expertise within the broader domain of data management and Data Science. Salary of a Data Engineer ranges between ₹ 3.1 Lakhs to ₹ 20.0

Big Data 52

Big Data Data Analysis Data Scientist Data Ingestion 52

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

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 Big Data 52

AWS Machine Learning Blog

OCTOBER 2, 2024

Manage data through standard methods of data ingestion and use Enriching LLMs with new data is imperative for LLMs to provide more contextual answers without the need for extensive fine-tuning or the overhead of building a specific corporate LLM. Tanvi Singhal is a Data Scientist within AWS Professional Services.

Generative AI 120

Generative AI Data Ingestion AI AI 120

ODSC - Open Data Science

JULY 19, 2023

A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team. For the customer, this helps them reduce the time it takes to bootstrap a new data science project and get it to production.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 7, 2024

We explored multiple big data processing solutions and decided to use an Amazon SageMaker Processing job for the following reasons: It’s highly configurable, with support of pre-built images, custom cluster requirements, and containers. When inference data is ingested on Amazon S3, EventBridge automatically runs the inference pipeline.

ML 108

ML Machine Learning Automation Data Scientist 108

DataRobot Blog

SEPTEMBER 13, 2022

What Do Data Scientists Do? Data scientists drive business outcomes. Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. What data scientists do is directly tied to an organization’s AI maturity level.

Data Scientist 52

Data Scientist Automation Data Ingestion ML 52

AWS Machine Learning Blog

AUGUST 8, 2024

About the Authors Apurva Gawad is a Senior Data Engineer at Twilio specializing in building scalable systems for data ingestion and empowering business teams to derive valuable insights from data. He is also an adjunct lecturer in the MS data science and analytics program at Georgetown University in Washington D.C.

Metadata 120

Metadata LLM Prompt Engineer Prompt Engineering 120

The MLOps Blog

JUNE 27, 2023

Core features of end-to-end MLOps platforms End-to-end MLOps platforms combine a wide range of essential capabilities and tools, which should include: Data management and preprocessing : Provide capabilities for data ingestion, storage, and preprocessing, allowing you to efficiently manage and prepare data for training and evaluation.

Metadata 134

Metadata Machine Learning Data Scientist Data Quality 134

AWS Machine Learning Blog

SEPTEMBER 18, 2024

Hosted on Amazon ECS with tasks run on Fargate, this platform streamlines the end-to-end ML workflow, from data ingestion to model deployment. An example direct acyclic graph (DAG) might automate data ingestion, processing, model training, and deployment tasks, ensuring that each step is run in the correct order and at the right time.

Machine Learning 118

Machine Learning Data Scientist Data Ingestion ML 118

TransOrg Analytics

SEPTEMBER 24, 2024

AWS Data Exchange: Access third-party datasets directly within AWS. Data & ML/LLM Ops on AWS Amazon SageMaker: Comprehensive ML service to build, train, and deploy models at scale. Amazon EMR: Managed big data service to process large datasets quickly. Snowpark: Native support for data engineering and ML workflows.

ETL 52

ETL Data Ingestion LLM Automation 52