Wed.Dec 04, 2024

article thumbnail

7 Projects to Master Data Engineering

KDnuggets

Learn to build, run, and manage data engineering pipelines both locally and in the cloud using popular tools.

article thumbnail

A new sample tool to add attachment date to table

ArcGIS

Sample tool to add attachment date taken to an output table. Date taken data can be used in pop-up windows of an active map.

Data 96
Insiders

Sign Up for our Newsletter

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

article thumbnail

5 Free Resources to Understand Neural Networks

KDnuggets

Here are five free resources in diverse formats and difficulty levels to acquaint with deep learning models at no cost.

article thumbnail

Artificial Intelligence in manufacturing

databricks

In recent years, artificial intelligence has transformed from an aspirational technology to a driver of manufacturing innovation and efficiency. Understanding both the current.

article thumbnail

Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

article thumbnail

Getting Started with MongoDB: Installation and Setup Guide

KDnuggets

MongoDB is a database that’s great for handling large amounts of diverse data. This article walks you through installing MongoDB and using the MongoDB Shell to manage your data easily.

MongoDB 103
article thumbnail

Fueling the Future of GenAI with NiFi: Cloudera DataFlow 2.9 Delivers Enhanced Efficiency and Adaptability

Cloudera

For more than a decade, Cloudera has been an ardent supporter and committee member of Apache NiFi, long recognizing its power and versatility for data ingestion, transformation, and delivery. Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams.

More Trending

article thumbnail

Cloudera announces ‘Interoperability Ecosystem’ with founding members AWS and Snowflake

Cloudera

Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads. But now AWS customers will gain more flexibility, data utility, and complexity, supporting the modern data architecture. All this by making it easier for customers to connect their workloads with Snowflake, Cloudera, and unique AWS services such as Amazon Simple Storage Service

AWS 89
article thumbnail

EVPassport: Charging Ahead to the Future with Databricks

databricks

Established in 2020, EVPassport aims to transform the electric vehicle charging experience. Specializing in multi-family residences, hospitality, retail, workplaces, and commercial parking environments.

article thumbnail

Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput.

article thumbnail

How To Prepare Your Data Team for 2025

Ascend.io

As we approach 2025, data teams find themselves at a pivotal juncture. The rapid evolution of technology and the increasing demand for data-driven insights have placed immense pressure on these teams. According to recent research, 95% of data teams are operating at or over capacity, highlighting the urgent need for strategic preparation. This isn’t just about keeping up; it’s about staying ahead so that data teams can deliver the data needed to fuel their organizations.

article thumbnail

Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

article thumbnail

Unify Streaming and Analytical Data with Apache Iceberg®, Confluent Tableflow, and Amazon SageMaker® Lakehouse

Confluent

Tableflow easily integrates with Amazon SageMaker Lakehouse, enabling you to quickly materialize your Apache Kafka topics into Iceberg tables stored in S3.

Kafka 64
article thumbnail

Advent of Code: A Holiday Treat for Data Professionals

Elder Research

Take a break from the usual routine and join thousands of data professionals for Advent of Code. It's a great way to sharpen your skills!

Coding 59
article thumbnail

Securely Query Confluent Cloud from Amazon Redshift with mTLS

Confluent

The recent release of mutual TLS (mTLS) on Confluent Cloud and Amazon Redshift has enabled the streaming of Confluent topics to Amazon Redshift materialized views.

Cloud 59
article thumbnail

6 Ways To Prepare Your Data Team for 2025

Ascend.io

As we approach 2025, data teams find themselves at a pivotal juncture. The rapid evolution of technology and the increasing demand for data-driven insights have placed immense pressure on these teams. According to recent research, 95% of data teams are operating at or over capacity, highlighting the urgent need for strategic preparation. This isn’t just about keeping up; it’s about staying ahead so that data teams can deliver the data needed to fuel their organizations.

article thumbnail

Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

article thumbnail

How to Bring SQL Server Data into Microsoft Fabric

Towards Data Science

Options, options…In this article, you’ll learn what the possibilities are for bringing your on-prem SQL Server data to Microsoft Fabric Continue reading on Towards Data Science »

SQL 56
article thumbnail

Introducing new training courses for SQL Analytics and BI, with AI-powered self-service analytics

databricks

Databricks launches two new self-paced trainings to enhance SQL and AI-powered analytics skills The "Get Started with SQL analytics and BI" course covers how to use Databricks SQL for data analysis and Databricks AI/BI Dashboards and Genie spaces Additional courses being developed include "Databricks AI/BI for self-service analytics" and a deep dive for data analysts on building AI/BI Dashboards and Genie Spaces

BI 57
article thumbnail

How AI Helps F&B Companies Manage Inventory and Reduce Waste?

RandomTrees

As one of the most important sectors of the global economy, the food and beverage (F&B) industry works in highly volatile conditions and ensures its success by reducing waste and managing inventories. Managing production and consumption, meeting deadlines, cutting waste, and being environmentally friendly are always a challenge. Old and traditional approaches often fail or become inefficient and unresponsive in real time.

Food 52
article thumbnail

Women on Wednesday with Meenakshi Khurana

Precisely

At Precisely, we celebrate the women in our organization because we know that while more women are joining the technology industry, there’s still a gender gap. Supporting and advocating for women in technology is a top priority, which is why the Precisely Women in Technology (PWIT) program was established. Every month, a different woman from the program is featured in this Q&A to share her experience working in tech.

article thumbnail

Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

article thumbnail

What is a Virus Hoax? How to Spot, Avoid, and Respond to Fake Alerts?

Edureka

It was a regular workday. IT worker Divya was halfway through her coffee when a colleague sent her an important email. The subject line read, WARNING: Critical Virus Detected! According to the email, if she didn’t remove a particular file right away, a new virus would cause her operating system to fail. Divya got scared and immediately tried to safeguard her system.

Media 52