Flipboard

NOVEMBER 17, 2023

The vector field should be represented as an array of numbers (BSON int32, int64, or double data types only). Query the vector data store You can query the vector data store using the Vector Search aggregation pipeline. It uses the Vector Search index and performs a semantic search on the vector data store.

K-nearest Neighbors

IBM Journey to AI blog

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI. How does an open data lakehouse architecture support AI? New insights and relationships are found in this combination.

Data Lakes

ODSC - Open Data Science

FEBRUARY 2, 2023

To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. Much of what we found was to be expected, though there were definitely a few surprises. This will lead to algorithm development for any machine or deep learning processes.

Data Science

AWS Machine Learning Blog

AUGUST 21, 2023

You can streamline the process of feature engineering and data preparation with SageMaker Data Wrangler and finish each stage of the data preparation workflow (including data selection, purification, exploration, visualization, and processing at scale) within a single visual interface.

AWS

Alation

FEBRUARY 13, 2020

A Data Catalog is a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses. Conclusion.

Data Lakes

Pickl AI

AUGUST 1, 2023

Key Components of Data Engineering Data Ingestion : Gathering data from various sources, such as databases, APIs, files, and streaming platforms, and bringing it into the data infrastructure. Data Processing: Performing computations, aggregations, and other data operations to generate valuable insights from the data.

Data Engineering

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Using Alation, ARC automated the data curation and cataloging process. “So

Analytics

ODSC - Open Data Science

NOVEMBER 18, 2024

You’ll start by demystifying what vector databases are, with clear definitions, simple explanations, and real-world examples of popular vector databases. You will also gain a practical understanding of how vector databases work, including the processes involved in storing, retrieving, and managing data in high-dimensional vector spaces.

Deep Learning

DagsHub

OCTOBER 23, 2024

Here are some challenges you might face while managing unstructured data: Storage consumption: Unstructured data can consume a large volume of storage. For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly.

Machine Learning

Pickl AI

JUNE 11, 2024

They offer a focused selection of data, allowing for faster analysis tailored to departmental goals. Metadata This acts like the data dictionary, providing crucial information about the data itself. Metadata details the source of the data, its definition, and how it relates to other data points within the warehouse.

Data Warehouse

AWS Machine Learning Blog

NOVEMBER 9, 2023

Under Advanced Project Options , for Definition , select Pipeline script from SCM. She holds a master’s degree in Computer Science specialized in Data Science from the University of Colorado, Boulder. Data Lake Architect with AWS Professional Services. Select This project is parameterized. For Name , enter prodAccount.

AWS

Alation

APRIL 14, 2022

A cloud environment with such features will support collaboration across departments and across common data types, including csv, JSON, XML, AVRO, Parquet, Hyper, TDE, and more. It’s More Important to Know What Your Data Means Than Where It Is. Pushing data to a data lake and assuming it is ready for use is shortsighted.

Data Governance

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

Big Data

Data Science Blog

MAY 15, 2023

tl;dr Ein Data Lakehouse ist eine moderne Datenarchitektur, die die Vorteile eines Data Lake und eines Data Warehouse kombiniert. Die Definition eines Data Lakehouse Ein Data Lakehouse ist eine moderne Datenspeicher- und -verarbeitungsarchitektur, die die Vorteile von Data Lakes und Data Warehouses vereint.

Data Warehouse

AWS Machine Learning Blog

JANUARY 26, 2024

Organizational resiliency draws on and extends the definition of resiliency in the AWS Well-Architected Framework to include and prepare for the ability of an organization to recover from disruptions. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

AWS

Smart Data Collective

OCTOBER 16, 2022

A comparison of Gartner’s definitions for SIEM and XDR would show that the two are somewhat similar. They both enhance threat detection through the contextualization of security data obtained from various security components throughout the enterprise. Same goals, different architecture. It is not just an improved version of SIEM.

Artificial Intelligence