Remove 2022 Remove Metadata Remove Statistics Remove Unstructured Data
article thumbnail

What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect vs. data scientist According to Dataversity , the data architect and data scientist roles are related, but data architects focus on translating business requirements into technology requirements, defining data standards and principles, and building the model-development frameworks for data scientists to use.

article thumbnail

Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg

AWS Big Data

Terminology Let’s first discuss some of the terminology used in this post: Research data lake on Amazon S3 – A data lake is a large, centralized repository that allows you to manage all your structured and unstructured data at any scale. One of the key features of Iceberg is its support for scalable data versioning.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Choosing an open table format for your transactional data lake on AWS

AWS Big Data

Iceberg doesn’t optimize file sizes or run automatic table services (for example, compaction or clustering) when writing, so streaming ingestion will create many small data and metadata files. Using column statistics , Iceberg offers efficient updates on tables that are sorted on a “key” column.

Data Lake 113
article thumbnail

Demystifying Modern Data Platforms

Cloudera

July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. A key area of focus for the symposium this year was the design and deployment of modern data platforms.

article thumbnail

Better Analytics Through AI: Our Take on Gartner’s AI Trends

Sisense

From Forecast to Trends to natural language querying, we are completely transparent about the technology behind and the statistical characteristics of the output. Gartner: “Dynamic data stories with more automated and consumerized experiences will replace visual, point-and-click authoring and exploration.”. Trend 6: Cloud is a given.

Analytics 112