article thumbnail

What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). Optimize data flows for agility. An organizations data architecture is the purview of data architects. Cloud computing.

article thumbnail

Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean.

Insiders

Sign Up for our Newsletter

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

article thumbnail

RocksDB 101: Optimizing stateful streaming in Apache Spark with Amazon EMR and AWS Glue

AWS Big Data

Organizations face mounting pressure to process massive data streams instantaneously—from detecting fraudulent transactions and delivering personalized customer experiences to optimizing complex supply chains and responding to market dynamics milliseconds ahead of competitors. Upload the following sample script to s3:// /script/sample_script.py

article thumbnail

Cost Optimized Vector Database: Introduction to Amazon OpenSearch Service quantization techniques

AWS Big Data

To mitigate this issue, various compression techniques can be used to optimize memory usage and computational efficiency. Amazon OpenSearch Service , as a vector database, supports scalar and product quantization techniques to optimize memory usage and reduce operational costs.

article thumbnail

LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Register today to save your seat! December 6th, 2023 at 11:00am PST, 2:00pm EST, 7:pm GMT

article thumbnail

AWS Glue Data Catalog supports automatic optimization of Apache Iceberg tables through your Amazon VPC

AWS Big Data

The AWS Glue Data Catalog supports automatic table optimization of Apache Iceberg tables, including compaction , snapshots, and orphan data management. The data compaction optimizer constantly monitors table partitions and kicks off the compaction process when the threshold is exceeded for the number of files and file sizes.

article thumbnail

Manage concurrent write conflicts in Apache Iceberg on the AWS Glue Data Catalog

AWS Big Data

We will also cover the pattern with automatic compaction through AWS Glue Data Catalog table optimization. Consider a streaming pipeline ingesting real-time event data while a scheduled compaction job runs to optimize file sizes. In this section, we share proven patterns for handling common scenarios.

Snapshot 137
article thumbnail

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Join us as we guide leaders in developing a clear, actionable strategy to harness the power of AI for process optimization, automation of knowledge-based tasks, and tangible operational improvements. Key Topics Covered: 🧠 Smarter Workflows: Understand the evolving role of AI in document management and knowledge automation.

article thumbnail

Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association.

article thumbnail

Customer Experience Management: Optimizing Your Strategy for Financial Success

Speaker: Diane Magers, Founder and Chief Experience Officer at Experience Catalysts

To gain buy-in from the C-Suite and key stakeholders, it’s crucial to illustrate how Experience Management translates into clear, measurable business results. Transforming customer engagement, Voice of Customer (VoC) insights, and Journey Maps into tangible financial outcomes poses a significant challenge for most organizations.

article thumbnail

The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. ♻️ Manufacturing corporations across the U.S.

article thumbnail

How to Optimize the Developer Experience for Monumental Impact

Speaker: Anne Steiner and David Laribee

To understand how a great DX can contribute not only to the well-being of our development teams, but also to the broader objectives of product success and customer satisfaction, we first need to understand the relationship between DX and the Product Manager Experience!

article thumbnail

The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. That’s where data-driven construction comes in. You won’t want to miss this webinar!

article thumbnail

Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Join Claire Grosjean for a dynamic discussion on how finance leaders can leverage data-driven strategies to improve spend visibility, enhance forecasting accuracy, and drive cost optimization without losing sight of the human element that makes financial decision-making effective.

article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.