Wed.Sep 11, 2024

article thumbnail

A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Most importantly, these pipelines enable your team to transform data into actionable insights, demonstrating tangible business value. According to an IBM study, businesses expect that fast data will enable them to “make better informed decisions using insights from analytics (44%), improved data quality and

article thumbnail

7 Free Cloud IDE for Data Science That You Are Missing Out

KDnuggets

Access a pre-built Python environment with free GPUs, persistent storage, and large RAM. These Cloud IDEs include AI code assistants and numerous plugins for a fast and efficient development experience.

Cloud 104
Insiders

Sign Up for our Newsletter

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

article thumbnail

Reflecting away from definitions in Liquid Haskell

Tweag

We’ve all been there: wasting a couple of days on a silly bug. Good news for you: formal methods have never been easier to leverage. In this post, I will discuss the contributions I made during my internship to Liquid Haskell (LH), a tool that makes proving that your Haskell code is correct a piece of cake. LH lets you write contracts for your functions inside your Haskell code.

Coding 70
article thumbnail

Free Courses That Are Actually Free: Data Analytics Edition

KDnuggets

Kickstart your data analyst career with all these free courses.

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. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

article thumbnail

Producing Messages With a Schema in Confluent Cloud Console

Confluent

To make application testing for topics with schemas easier, you can now produce messages that are serialized with schemas using the Confluent Cloud Console UI.

Cloud 69
article thumbnail

Bootstrapping Your Data Science Career: A Guide to Self-Learning Pathways

KDnuggets

While not easy, bootstrapping your data science career is possible. Here's an overview of the most important skills and resource suggestions for learning them.

More Trending

article thumbnail

The “Who Does What” Guide To Enterprise Data Quality

Towards Data Science

One answer and many best practices for how larger organizations can operationalizing data quality programs for modern data platforms An answer to “who does what” for enterprise data quality. Image courtesy of the author. I’ve spoken with dozens of enterprise data professionals at the world’s largest corporations, and one of the most common data quality questions is, “who does what?

article thumbnail

Integrating Entra ID, Azure DevOps and Databricks for Better Security in CI/CD

databricks

Personal Access Tokens (PATs) are a convenient way to access services like Azure Databricks or Azure DevOps without logging in with your password.

article thumbnail

Developing End-to-End Data Science Pipelines with Data Ingestion, Processing, and Visualization

KDnuggets

Learn how to create a data science pipeline with a complete structure.

article thumbnail

Introducing Our Technology Carbon Estimator by Matt Griffin

Scott Logic

In February of this year, Scott Logic announced our proposed Technology Carbon Standard , setting out an approach to describing an organisation’s technology footprint. This standard has proven invaluable in mapping our own carbon footprint, as well as those of clients we’ve worked with. As awareness of the environmental impact of digital infrastructure grows, it has become crucial to understand and manage technology-related emissions.

article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

article thumbnail

Cloudera Launches Private Link Network for Secure, Internet-Free Cloud Connectivity

Cloudera

Imagine a world where your sensitive data moves effortlessly between clouds – secure, private, and far from the prying eyes of the public internet. Today, we’re making that world a reality with the launch of Cloudera Private Link Network. Organizations are continuously seeking ways to enhance their data security. One of the challenges is ensuring that data remains protected as it traverses different cloud environments.

article thumbnail

Fivetran vs AWS Glue: Compare Leading ETL Tools with Features and Pricing

Hevo

ETL tools have become important in efficiently handling integrated data. In this blog, we will discuss Fivetran vs AWS Glue, two influential ETL tools on the market. This will help you gain a comprehensive understanding of the product’s features, pricing models, and real-world use cases, helping you choose the right solution.

article thumbnail

Migrating Source Views to Snowflake – Discrepancy in View Definition

Cloudyard

Read Time: 1 Minute, 52 Second In this use case, a financial services company has decided to migrate its data warehouse from Oracle to Snowflake. The migration involves not only migrating the data from Oracle to Snowflake but also replicating all views in Snowflake. After successfully migrating several views, the data engineering team noticed discrepancy between the Oracle view definitions and their Snowflake counterparts.

article thumbnail

Airflow Architecture: 101 on Workflow Orchestration

Hevo

Data pipelines and workflows have become an inherent part of the advancements in data engineering, machine learning, and DevOps processes. With ever-increasing scales and complexity, the need to orchestrate these workflows efficiently arises. That is where Apache Airflow steps in —an open-source platform designed to programmatically author, schedule, and monitor workflows.

article thumbnail

How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

article thumbnail

Data Lake vs Data Warehouse vs Database: Top 5 Differences

Hevo

1GB of data was referred to as big data in 1999. Nowadays, the term is used for petabytes or even exabytes of data (1024 Petabytes), close to trillions of records from billions of people. In this fast-moving landscape, the key to making a difference is picking up the correct data storage solution for your business.

article thumbnail

How to Code a Data Pipeline Python

Hevo

A Data Pipeline is an indispensable part of a data engineering workflow. It enables the extraction, transformation, and storage of data across disparate data sources and ensures that the right data is available at the right time.

article thumbnail

Hevo Data Achieves Snowflake Ready Technology Validation Partner Certification

Hevo

We’re excited to announce that Hevo Data has achieved the prestigious Snowflake Ready Technology Validation certification! This recognition solidifies our commitment to delivering top-notch data integration solutions that seamlessly work with Snowflake, a leading AI Data Cloud. What is the Snowflake Ready Technology Validation Program?