Latest AI and tech news

acceldata.io • Aug 28 • by Acceldata

Languages · Software engineering +6

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FB8F3

Data Products V2 and the Python SDK: The Consumption Surface for Trusted Data

acceldata.io • Aug 28 • by Acceldata

DevOps & SRE · Software engineering +7

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238FB

Runtime Quality Foundation: Catch What Single-Column Monitoring Misses

acceldata.io • Aug 28 • by Acceldata

Data governance · language +3

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EC196

Business Glossary: Give Your Data Estate a Shared Business Language

acceldata.io • Jul 20 • by Acceldata

Automation · Data governance +1

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278FE

ServiceNow Data Catalog Integration for ADOC 26.6.0

acceldata.io • Jul 20 • by Acceldata

Data governance · available +2

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DE584

Data Products: Now Available in ADOC 26.5.0

acceldata.io • Jul 20 • by Acceldata

Data engineering · support +7

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67E35

OpenLineage Support: Expanded Platform Coverage Across Redshift, Glue, Pub/Sub, and Iceberg

acceldata.io • Jul 20 • by Acceldata

Data governance · acceldata

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8B054

What’s New in Acceldata 26.5.0 & 26.6.0

acceldata.io • Jun 26 • by Acceldata

Kubernetes · story

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11AF2

Hadoop to Kubernetes Migration: Platform Team Playbook

acceldata.io • Jun 26 • by Acceldata

Cost of AI · Data governance +6

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C2471

Data Quality for Agentic AI: Why the Cost Is Different

acceldata.io • Jun 26 • by Acceldata

Data engineering · spark +6

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69F71

Spot Instances and Spark: How to Run Reliably Without Paying On-Demand Prices

acceldata.io • Jun 26 • by Acceldata

Data engineering · Cost of AI +7

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B9545

TCO Comparison Between Managed and Self-Managed Spark Always Misses the Most Expensive Variable

acceldata.io • Jun 26 • by Acceldata

Data governance · gap +4

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DC2BE

The Federated Governance Gap No Data Catalog Has Solved Until Now

acceldata.io • Jun 26 • by Acceldata

Cloud · Cost of AI +8

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D8429

The Real Reason Cloud Cost Management Fails in Large Enterprises

acceldata.io • Jun 26 • by Acceldata

Data engineering · spark

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D43F0

What the Spark UI Can't Tell You About Your Data Platform

acceldata.io • Jun 26 • by Acceldata

AI · AI agents +7

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1FEBB

Why Agentic AI Infrastructure Becomes the Competitive Variable

acceldata.io • Jun 26 • by Acceldata

Cost of AI · AI +8

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73E09

Why Agentic AI Infrastructure Costs Get Severely Underestimated

acceldata.io • Jun 26 • by Acceldata

AI · sovereign +2

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76EFD

Your AI Is Only as Sovereign as the Data Beneath It

acceldata.io • Jun 26 • by Acceldata

Enterprise AI · AI +9

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40C31

Why Infrastructure for Agentic AI Determines Your Enterprise Risk Profile

acceldata.io • Jun 26 • by Acceldata

Data engineering · Web development +4

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66F5F

Beyond YARN: What Modern Data Platform Scheduling Looks Like

acceldata.io • Jun 26 • by Acceldata

Cost of AI · Generative AI +9

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AADF9

Why the True Cost of Generative AI Workloads at Scale Is Almost Always Underestimated

acceldata.io • Jun 26 • by Acceldata

Data engineering · Cost of AI +3

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8E6CB

Why FinOps Tools Can't See Your Spark Bill

acceldata.io • Jun 26 • by Acceldata

Data governance · distributed +3

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C1958

Why Distributed Data Governance Demands a Different Architecture

acceldata.io • Jun 26 • by Acceldata

Data governance · level +5

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68265

Why Data Governance Regulatory Risk Now Lives at the Board Level

acceldata.io • Jun 26 • by Acceldata

AI infrastructure · modern +7

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AF9BF

Why Coupled Compute and Storage Is the Architecture Debt Modern Data Teams Are Still Paying

acceldata.io • Jun 22 • by Acceldata

Data engineering · Cloud +7

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D4B44

What Is x-Lake? Acceldata's Open, Multi-Cloud Data Platform Architecture Explained

acceldata.io • Jun 22 • by Acceldata

GPUs & chips · AI +8

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D52DC

Why GPU AI Sovereignty Requires Sovereign Data Infrastructure, Not Just Sovereign Compute

acceldata.io • Jun 22 • by Acceldata

Data engineering · AI +8

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ECAF8

Why Traditional ETL Pipelines Become the Bottleneck the Moment You Scale AI Workloads

acceldata.io • Jun 22 • by Acceldata

Data engineering · Cost of AI +6

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6706C

The GPU Spark Cost Problem That Managed Platforms Created

acceldata.io • Jun 22 • by Acceldata

Data engineering · AI +4

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9D701

The AI Workload Assumptions Your Data Platform Was Never Built to Handle

acceldata.io • Jun 22 • by Acceldata

Data engineering · open +6

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66740

The Open Data Lakehouse: Why Enterprises Are Walking Away from Vendor-Locked Architectures

acceldata.io • Jun 22 • by Acceldata

Data engineering · Kubernetes +3

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2DFF9

What Is a Kubernetes-Native Data Platform? (And Why It Changes Everything)

acceldata.io • Jun 22 • by Acceldata

Data engineering · DevOps & SRE +7

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7A01A

Datadog vs Prometheus vs. xLake: Spark Observability Tool Comparison for Platform Teams

acceldata.io • Jun 12 • by Acceldata

Data governance · story

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D4E1B

Who Owns Your Data on a Managed Platform?

acceldata.io • Jun 12 • by Acceldata

Data engineering · apache +7

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486AF

Fine-Grained Access Control for Multi-Tenant Spark: A Practical Guide with Apache Ranger

acceldata.io • Jun 12 • by Acceldata

AI · AI infrastructure +5

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89EF5

What Sovereign Data Actually Means for Your AI Infrastructure

acceldata.io • Jun 12 • by Acceldata

AI economy · AI +5

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C48C9

Why the Next AI Race Will Be Won on Data Sovereignty, Not Model Size

acceldata.io • Jun 12 • by Acceldata

GPUs & chips · AI infrastructure +6

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A0237

Why GPU Compute Without Sovereign Data Infrastructure Is Half an Architecture

acceldata.io • Jun 12 • by Acceldata

Data engineering · cost +2

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675CA

Why Keeping Hadoop Running in 2026 Costs More Than Most Teams Realize

acceldata.io • Jun 12 • by Acceldata

Data engineering · DevOps & SRE +7

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242EE

The Four-Tool Spark Monitoring Stack That Leaves Teams Flying Blind

acceldata.io • Jun 12 • by Acceldata

Data engineering · Cost of AI +9

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1E6D3

EKS vs. EMR Managed Spark: A Real Cost Breakdown of 50 Concurrent Jobs

acceldata.io • Jun 12 • by Acceldata

Data engineering · migration +3

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983DB

Why Legacy Hadoop Is Costing Platform Teams More Than the Migration Would

acceldata.io • Jun 12 • by Acceldata

Data engineering · architecture +3

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B362B

VPC-Native Data Platform: The Architecture That Keeps Your Data From Leaving Your Control