Flipboard

NOVEMBER 27, 2024

The data in Amazon Redshift is transactionally consistent and updates are automatically and continuously propagated. Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization.

ETL 138

ETL Data Warehouse Analytics Analytics 138

IBM Data Science in Practice

JANUARY 2, 2025

Recently introduced as part of I BM Knowledge Catalog on Cloud Pak for Data (CP4D) , automated microsegment creation enables businesses to analyze specific subsets of data dynamically, unlocking patterns that drive precise, actionable decisions.

SQL 100

SQL Data Quality Data Profiling Data Preparation 100

AWS Machine Learning Blog

NOVEMBER 15, 2024

Joel Elscott is a Senior Data Engineer on the Principal AI Enablement team. He has over 20 years of software development experience in the financial services industry, specializing in ML/AI application development and cloud data architecture.

AWS 113

AWS AI AI Machine Learning 113

Pickl AI

DECEMBER 26, 2024

Overcoming these challenges ensures the cloud remains a powerful ally in Data Science initiatives. Best Practices for Effective Cloud Data Science To maximise the benefits of cloud computing for Data Science, organisations must adopt best practices that streamline processes, optimise resource usage, and ensure cost efficiency.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

How to Learn Machine Learning

APRIL 26, 2025

At the heart of their work is the idea of setting up a stable and well-functioning data pipelinean automated set of processes that reads raw data from many sources, cleans it, and transforms it into formats for analysis.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

DrivenData Labs

JUNE 19, 2025

DrivenData served as trusted data experts throughout the hiring process, deploying a technical take-home project and evaluating the candidates’ qualifications and suitability for their roles in the organization. The results ¶ CodePath now has robust data infrastructure that supports reliable decision-making across the organization.

Data Scientist 130

Data Scientist Data Warehouse Data Engineering Data Engineering 130

Pickl AI

JUNE 29, 2025

Google Cloud Platform (GCP): Google Cloud Storage with BigQuery and Dataflow for analytics. Benefits of Cloud Data Lakes Cloud data lakes offer numerous advantages that help organizations manage, analyze, and derive value from vast and diverse data sets efficiently and cost-effectively.

Data Lakes 52

Data Lakes Data Warehouse Azure Cloud Data 52

Dataconomy

JUNE 25, 2025

Growth trends in DWaaS adoption The rise of DWaaS can be attributed to the increasing adoption of cloud technologies across industries. Recent statistics indicate a steady growth trajectory for cloud data warehousing, driven by businesses seeking agility and efficiency.

Data Warehouse 91

Data Warehouse Data Lakes Cloud Data Data Pipeline 91

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications.

Python 52

Python Database SQL Machine Learning 52

Dataversity

DECEMBER 11, 2024

But with growing concerns around user privacy, how can companies achieve this level of personalization without compromising our personal data? In todays fast-paced digital landscape, we all love a little bit of personalization.

Data Governance 52

Data Governance Data Quality Cloud Data AI 52

phData

JUNE 11, 2025

By adopting these best practices, organizations can effectively manage Snowflake budgets, optimize credit usage, and drive greater cost efficiency and ROI in their cloud data operations. Event tables can help optimize cost and performance for the above Snowflake objects.

Clustering 59

Clustering SQL Database Data Lakes 59

Flipboard

JULY 15, 2025

Sandeep Kumar Veerlapati is an Associate Director – Data Engineering at PayU Finance, where he focuses on building strong, high-performing teams and defining effective data strategies. He has a deep technical background with tools like Spark, Airflow, Hudi, and the AWS Cloud.

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AWS AI AI SQL 149

AWS Machine Learning Blog

NOVEMBER 1, 2024

Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities. Amazon Redshift is a fully managed cloud data warehouse that trial scientists can use to perform analytics.

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AWS Data Lakes Machine Learning Machine Learning 111

Dataconomy

MAY 28, 2025

Salesforce announced Tuesday its acquisition of Informatica, a cloud data management firm, for $8 billion in an all-equity transaction. The deal aims to enhance Salesforce’s AI and data infrastructure capabilities.

Tableau 91

Tableau Cloud Data AI AI 91

phData

OCTOBER 28, 2024

Understanding Matillion and Snowflake, the Python Component, and Why it is Used Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP and supports multiple cloud data warehouses.

Python 52

Python ETL AWS Database 52

AWS Machine Learning Blog

MAY 23, 2025

Reporting requirements included customer and VA interaction and Amazon Lex bot performance (target metrics and intent fulfillment) analytics to identify and implement tuning and training opportunities. The overview dashboard provides a single snapshot of key metrics such as the total number of conversations and intent recognition rates.

AWS 74

AWS Analytics Analytics Cloud Data 74

Dataversity

OCTOBER 10, 2024

The widespread adoption of artificial intelligence (AI) and machine learning (ML) simultaneously drives the need for cloud computing services. That is why organizations should look to hybrid solutions […] The post AI Advancement Elevates the Need for Cloud appeared first on DATAVERSITY.

Cloud Computing 72

Cloud Computing Artificial Intelligence Artificial Intelligence Machine Learning 72

AWS Machine Learning Blog

APRIL 3, 2025

Results and future plans The implementation of ODAP and ODAPChat on AWS has already yielded significant benefits for OMRON: Optimization of reports, leading to more efficient and insightful analysis SQL-to-natural language capabilities powered by generative AI, making data more accessible to nontechnical users Increased business agility with infrastructure (..)

AWS 85

AWS Data Governance Data Silos SQL 85

phData

APRIL 28, 2025

A Matillion pipeline is a collection of jobs that extract, load, and transform (ETL/ELT) data from various sources into a target system, such as a cloud data warehouse like Snowflake. For those unfamiliar with GIT or GIT practices, please refer Git for Business Users with Matillion DPC What is a Matillion Pipeline?

AI 52

AI AI SQL ETL 52

AWS Machine Learning Blog

MARCH 17, 2025

About the Authors Laks Sundararajan is a seasoned Enterprise Architect helping companies reset, transform and modernize their IT, digital, cloud, data and insight strategies. A proven leader with significant expertise around Generative AI, Digital, Cloud and Data/Analytics Transformation, Laks is a Sr.

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AWS Natural Language Processing ML ML 116

AWS Machine Learning Blog

APRIL 29, 2025

Amine Aitelharraj is a seasoned cloud leader and ex-AWS Senior Consultant with over a decade of experience driving large-scale cloud, data, and AI transformations. He started learning AI/ML at university, and has fallen in love with it since then.

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AWS AI AI ML 74

AWS Machine Learning Blog

OCTOBER 28, 2024

Athena returns the queried data from BigQuery to SageMaker Canvas, where you can use it for ML model training and development purposes within the no-code interface.

Machine Learning 108

Machine Learning Machine Learning ML ML 108

phData

FEBRUARY 21, 2025

With a traditional on-prem data warehouse, an organization will face more substantial Capital Expenditures (CapEx), or one-time costs, such as infrastructure setup, network configuration, and investments in servers and storage devices. When investing in a cloud data warehouse, the Operational Expenditures (OpEx) will be larger.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature.

Data Lakes 52

Data Lakes Data Warehouse Azure Database 52

phData

NOVEMBER 1, 2024

Chief Technology Officer, Information Technology Industry Survey respondents specified easier risk management and more data access to personnel as the top two benefits organizations can expect from moving data into a cloud platform.

Data Governance 52

Data Governance Data Quality ML ML 52

ODSC - Open Data Science

JUNE 6, 2025

Additionally, when enterprises store resources in numerous cloud environments, determining the extent of an identified issue and what malicious parties have compromised could take longer than usual. A study conducted elsewhere showed 44% of participants had experienced cloud data breaches.

Cloud Computing 52

Cloud Computing Cloud Data Data Science Artificial Intelligence 52

Dataconomy

MAY 9, 2025

and GPT-4 large language models, Microsofts Azure cloud data architecture, and the Microsoft Bing search engine for data acquisition. For more intensive users, the Perplexity Pro tier, priced at $20 per month, significantly expands this limit to 500 queries per day.

AI 103

AI AI Azure Artificial Intelligence 103

Flipboard

JUNE 24, 2025

After years at the intersection of cloud, data and life sciences, I’ve seen firsthand the challenges in … Harini Gopalakrishnan, Global CTO, Lifesciences, Snowflake. Life sciences is an industry where decisions depend on information from disparate multimodal sources, most of which are unstructured.

Cloud Data 65

Cloud Data AI AI Analytics 65

Flipboard

MARCH 19, 2025

This model can run locally or on an accelerated cloud data center, allowing AI Formerly codenamed Project DIGITS, the high-performance desktop supercomputer is powered by the NVIDIA Blackwell Ultra platform.

Cloud Data 73

Cloud Data AI AI Computer Science 73

Dataconomy

MARCH 27, 2025

In 2023, 64% of IT leaders cited misconfigurations and sync failures as major causes of cloud data loss. Backing up your data is of utter importance if you want to rewind the clock in case of emergency and recover the lost files. Even the best employees slip up, and the superiors might not notice the errors until its too late.

Cloud Data 91

Cloud Data 91

Dataconomy

MAY 29, 2025

Narrative: Emphasizes personalized data solutions. Quandl: A hub for financial, economic, and alternative data. SAP: Integrates data solutions into enterprise applications. Snowflake: A cloud data platform facilitating seamless data sharing.

Azure 91

Azure Big Data Big Data Data Quality 91

AWS Machine Learning Blog

MAY 21, 2025

By isolating data at the account level, software companies can enforce strict security boundaries, help prevent cross-customer data leaks, and support adherence with industry regulations such as HIPAA or GDPR with minimal risk.

AWS 107

AWS AI AI ML 107

databricks

MAY 21, 2025

Were excited to announce that the ability to access AWS S3 data on Azure Databricks through Unity Catalog to enable cross-cloud data governance is now

Data Governance 149

Data Governance Cloud Data Azure AWS 149

Analytics Vidhya

NOVEMBER 19, 2022

Today, data controls a significant portion of our lives as consumers due to advancements in wireless connectivity, processing power, and […]. The post Advantages of Using Cloud Data Platform Snowflake appeared first on Analytics Vidhya.

Cloud Data 322

Cloud Data Data Science Analytics Analytics 322

Analytics Vidhya

APRIL 25, 2022

Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system. The post AWS Redshift: Cloud Data Warehouse Service appeared first on Analytics Vidhya. The datasets range in size from a few 100 megabytes to a petabyte. […].

Data Warehouse 287

Data Warehouse Cloud Data AWS Clustering 287

insideBIGDATA

SEPTEMBER 18, 2024

Firebolt announced the next-generation Cloud Data Warehouse (CDW) that delivers low latency analytics with drastic efficiency gains. Built across five years of relentless development, it reflects continuous feedback from users and real-world use cases.

Data Warehouse 222

Data Warehouse Cloud Data Analytics Analytics 222

Hacker News

JUNE 12, 2025

Available Service information One or more regions affected Products Americas (regions) Europe (regions) Asia Pacific (regions) Middle East (regions) Africa (regions) Multi-regions Global Access Approval Access Context Manager Access Transparency Agent Assist AI Platform Prediction AI Platform Training AlloyDB for PostgreSQL Anthos Service Mesh API (..)

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Apache Kafka Cloud Data AI AI 140