Cloudera

NOVEMBER 13, 2024

Additionally, multiple copies of the same data locked in proprietary systems contribute to version control issues, redundancies, staleness, and management headaches. It leverages knowledge graphs to keep track of all the data sources and data flows, using AI to fill the gaps so you have the most comprehensive metadata management solution.

Metadata

AWS Big Data

OCTOBER 11, 2024

By implementing a robust snapshot strategy, you can mitigate risks associated with data loss, streamline disaster recovery processes and maintain compliance with data management best practices. This post provides a detailed walkthrough about how to efficiently capture and manage manual snapshots in OpenSearch Service.

Snapshot

CIO Business Intelligence

JANUARY 15, 2025

Nine of 10 CIOs surveyed by Gartner late last year expressed concerns that managing AI costs was limiting their ability to get value from AI. EY, in a recent blog post focused on top opportunities for IT companies in 2025, recommends money raised from these activities be used on AI projects.

Sales

CIO Business Intelligence

NOVEMBER 19, 2024

The company launched the SaaS-based end-to-end data platform a year ago as a pre-integrated and optimized environment to help data teams work together without getting mired in infrastructure and configuration settings.

Data Lake

KDnuggets

JULY 16, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs This article explains how (..)

Modeling

CIO Business Intelligence

OCTOBER 24, 2024

2025 will be about the pursuit of near-term, bottom-line gains while competing for declining consumer loyalty and digital-first business buyers,” Sharyn Leaver, Forrester chief research officer, wrote in a blog post Tuesday. Some leaders will pursue that goal strategically, in ways that set up their organizations for long-term success.

ROI

KDnuggets

JULY 15, 2025

Whether its integrating multiple data sources, managing data transfers, or simply ensuring timely reporting, each component presents its own challenges. To put it simply, it is a system that collects data from various sources, transforms, enriches, and optimizes it, and then delivers it to one or more target destinations.

Data Science

DataKitchen

NOVEMBER 27, 2024

This blog delves into the six distinct types of data quality dashboards, examining how each fulfills a specific role in ensuring data excellence. This fluidity requires an iterative approach to defining and managing CDEs, which can be resource-intensive and complicated to operationalize within a dashboard framework.

Data Quality

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and from third-party sources. Use case Amazon DataZone addresses your data sharing challenges and optimizes data availability.

Analytics

AWS Big Data

JUNE 12, 2025

In this post, we describe Nexthink ’s journey as they implemented a new real-time alerting system using Amazon Managed Service for Apache Flink. By combining real-time analytics, proactive monitoring, and intelligent automation, Infinity enables organizations to deliver an optimal digital workspace.

Management

KDnuggets

JULY 17, 2025

Python is a valuable tool for orchestrating any data flow activity, while Docker is useful for managing the data pipeline applications environment using containers. With the Dockerfile ready, we will prepare the docker-compose.yml file to manage the overall execution: version: 3.9 Let’s set up our data pipeline with Python and Docker.

Machine Learning

AWS Big Data

NOVEMBER 22, 2024

Important considerations for preview As you begin using automated Spark upgrades during the preview period, there are several important aspects to consider for optimal usage of the service: Service scope and limitations – The preview release focuses on PySpark code upgrades from AWS Glue versions 2.0 option("recursiveFileLookup", "true").option("path",

Cost-Benefit

KDnuggets

JUNE 27, 2025

Vinod focuses on creating accessible learning pathways for complex topics like agentic AI, performance optimization, and AI engineering. The Plotly charts are fully interactive — you can hover over data points, zoom in on specific time periods, and even click legend items to show/hide data series.

Interactive

Cloudera

DECEMBER 17, 2024

Since 5G networks began rolling out commercially in 2019, telecom carriers have faced a wide range of new challenges: managing high-velocity workloads, reducing infrastructure costs, and adopting AI and automation. High-velocity workloads like network data are best managed on-premises, where operators have more control and can optimize costs.

Enterprise

CIO Business Intelligence

JANUARY 6, 2025

Lebaredian said Nvidias Nemotron LLMs are fully optimized versions of Metas open-source Llama models, using Nvidia CUDA and AI acceleration to enable the high performance and lower compute costs crucial for agentic systems running multiple LLMs. LlamaIndex added a document research assistant for blog creation blueprint.

B2B

AWS Big Data

JULY 9, 2025

Organizations face significant challenges managing their big data analytics workloads. Data teams struggle with fragmented development environments, complex resource management, inconsistent monitoring, and cumbersome manual scheduling processes. Analyze results in SageMaker Unified Studio to optimize workflows.

Testing

KDnuggets

JUNE 24, 2025

Performance optimization : For large datasets, consider using vectorized operations or parallel processing. Configurable validation : Make the Pydantic schema configurable so the same pipeline can handle different data types. Advanced error handling : Implement retry logic for transient errors or automatic correction for common mistakes.

Machine Learning

AWS Big Data

JULY 15, 2025

Apache Iceberg, a high-performance open table format (OTF), has gained widespread adoption among organizations managing large scale analytic tables and data volumes. ORC was specifically designed for Hadoop ecosystem and optimized for Hive. Parquet is one of the most common and fastest growing data types in Amazon S3.

Optimization

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. As stated earlier, the first step involves data ingestion.

Sales

KDnuggets

JULY 28, 2025

Also, think about Raspberry Pi and low-power optimization. Whether it’s optimizing code, choosing efficient models, or working on green AI projects, this is a space where tech meets purpose. Whether youre talking to a CEO or a product manager, how you communicate your insights matters. billion in 2024 to USD 269.82

Machine Learning

KDnuggets

JULY 17, 2025

By Matthew Mayo , KDnuggets Managing Editor on July 17, 2025 in Python Image by Editor | ChatGPT Introduction Pythons standard library is extensive, offering a wide range of modules to perform common tasks efficiently. This is especially useful for grouping items.

Machine Learning

KDnuggets

JULY 22, 2025

Spark ML in BigQuery Studio Notebooks Sample Spark ML notebook in BigQuery Studio Apache Spark is a useful tool from feature engineering to model training, but managing the infrastructure has always been a challenge. Get Started: BigQuery DataFrames Quickstart Samples: Check out sample notebooks on GitHub 5.

Data Science

AWS Big Data

NOVEMBER 22, 2024

It is appealing to migrate from self-managed OpenSearch and Elasticsearch clusters in legacy versions to Amazon OpenSearch Service to enjoy the ease of use, native integration with AWS services, and rich features from the open-source environment ( OpenSearch is now part of Linux Foundation ).

Snapshot

KDnuggets

JUNE 26, 2025

This transforms your workflow into a distribution system where quality reports are automatically sent to project managers, data engineers, or clients whenever you analyze a new dataset. Vinod focuses on creating accessible learning pathways for complex topics like agentic AI, performance optimization, and AI engineering.

Data Quality

DataFloq

JUNE 10, 2025

Ethical AI and Continuous Optimization are Crucial: Implement robust risk management frameworks and foster a culture of continuous learning and iteration to ensure responsible, effective, and sustainable GenAI deployment. Data integrity and robust management are becoming critical enablers for AI decision-making.

Cost-Benefit

AWS Big Data

DECEMBER 27, 2024

Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. This is a further 32% increase from the optimizations shipped in Amazon EMR 7.1 Udit Mehrotra is an Engineering Manager for EMR at Amazon Web Services. with Iceberg 1.6.1

Cost-Benefit

AWS Big Data

NOVEMBER 27, 2024

Within seconds of transactional data being written into Amazon Aurora (a fully managed modern relational database service offering performance and high availability at scale), the data is seamlessly made available in Amazon Redshift for analytics and machine learning. or a later version) database. Create dbt models in dbt Cloud.

Data Warehouse

AWS Big Data

DECEMBER 17, 2024

This blog was co-authored by DeNA Co., When handling large table data, DeNA needed to use large memory-optimized EC2 instances. By using dbt, DeNA could standardize the technical stack, implement data quality tests in maintainable SQL, and connect dbt to a managed service for scalable and cost-effective processing.

Data Quality

AWS Big Data

JULY 25, 2025

However, managing schema evolution at scale presents significant challenges. To address this challenge, this post demonstrates how to build such a solution by combining Amazon Simple Storage Service (Amazon S3) for data storage, AWS Glue Data Catalog for schema management, and Amazon Athena for one-time querying.

IoT

AWS Big Data

OCTOBER 30, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze your data using standard SQL and your existing business intelligence (BI) tools. Raza Hafeez is a Senior Product Manager at Amazon Redshift. Do not overwrite existing files.

Data Warehouse

AWS Big Data

NOVEMBER 29, 2024

This blog post details how you can extract data from SAP and implement incremental data transfer from your SAP source using the SAP ODP OData framework with source delta tokens. Create an AWS Identity and Access Management (IAM) role for the AWS Glue extract, transform, and load (ETL) job to use.

Visualization

AWS Big Data

DECEMBER 4, 2024

Open table formats are emerging in the rapidly evolving domain of big data management, fundamentally altering the landscape of data storage and analysis. The adoption of open table formats is a crucial consideration for organizations looking to optimize their data management practices and extract maximum value from their data.

Snapshot

Cloudera

OCTOBER 22, 2024

In recent years, machine learning operations (MLOps) have become the standard practice for developing, deploying, and managing machine learning models. More Focus on Model Optimization: When using LLMs, teams often work with general-purpose models, fine-tuning them for specific business needs using proprietary data.

Risk Management

KDnuggets

JUNE 9, 2025

Optimal Setup: For the best performance (5+ tokens/second), you need at least 180GB of unified memory or a combination of 180GB RAM + VRAM. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies.

Modeling

AWS Big Data

DECEMBER 19, 2024

Today, they play a critical role in syncing with customer applications, enabling the ability to manage concurrent data operations while maintaining the integrity and consistency of information. By using features like Icebergs compaction, OTFs streamline maintenance, making it straightforward to manage object and metadata versioning at scale.

Data Lake

Cloudera

DECEMBER 4, 2024

Secure, Real-Time Insights : Combine robust governance with real-time analytics for efficient, secure data management and AI-driven insights. Read this blog to learn more about how Amazon EMR seamlessly integrates with Cloudera’s lakehouse for secure data sharing and interoperability powered by Iceberg REST Catalog.

Data-driven

DataKitchen

NOVEMBER 5, 2024

It is a layered approach to managing and transforming data. Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. For businesses requiring near-real-time insights, the time taken to traverse multiple layers may also introduce delays.

Data Quality