Thu.Jun 15, 2023

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An explosion in software engineers using AI coding tools?

The Pragmatic Engineer

GitHub surveyed 500 developers in the US for a sense of how they use AI coding tools. I examine the results and add context on how the survey was conducted.

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What's new in Apache Spark 3.4.0 - Spark Connect

Waitingforcode

Spark Connect is probably the most expected feature in Apache Spark 3.4.0. It was announced in the Data+AI Summit 2022 keynotes and has a lot of coverage in social media right now. I'll try to add my small contribution to this by showing some implementation details.

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5 Free Julia Books For Data Science

KDnuggets

Discover the full potential of the Julia programming language for data analysis and modeling with a comprehensive guide that covers everything from its syntax to advanced techniques.

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Unlock the Power of Real-time Data Processing with Databricks and Google Cloud

databricks

We are excited to announce the official launch of the Google Pub/Sub connector for the Databricks Lakehouse Platform. This new connector adds to.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Your Ultimate Guide to Chat GPT and Other Abbreviations

KDnuggets

Everyone seems to have gone crazy about ChatGPT, which has become a cultural phenomenon. If you’re not on the ChatGPT train yet, this article might help you better understand the context and excitement around this innovation.

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Volunteer Spotlight: Clouderans Volunteer with Be My Eyes

Cloudera

To celebrate Global Accessibility Awareness Day, Cloudera’s Capable ERG volunteered with Be My Eyes , a free app that connects Blind and low-vision people with 1:1 support at a moment’s notice to help complete daily tasks. Over a 24-hour period, 20 Cloudera volunteers lent their sight to app users for tasks big and small, with one goal in mind – to assist blind and low-vision people lead more independent lives.

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What’s New with Notebooks

databricks

Databricks Notebooks offers developers a managed authoring experience where data and AI teams can efficiently collaborate on projects together. The team here is.

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Introducing Apache Kafka 3.5

Confluent

This release includes rack-aware partition assignment for Kafka consumers, full support for distributed mode in dedicated MirrorMaker 2.0 clusters, and more! Read more highlights from Mickael Maison.

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Debezium Oracle Connector: 23 Critical Steps for Set Up

Hevo

Database administrators used to capture changes by getting access control rights and then string such changes to the source databases manually. But, they could not track the real-time changes due to an increase in the amount of modification in the digital world.

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All I Want To Know Is What’s Different – But Also Why and Can You Fix It ASAP?

Monte Carlo

I link to Benn Stancil in my posts more than any other data thought leader. I might not always agree with his answers, but I almost always agree with his questions. True to form, last week he tackled one of the most important questions data leaders need to ask which is, “How do we empower data consumers to assess the credibility of MDS-generated data products?

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Automated Audit Framework For Internet Scale Financial Transactions

Uber Engineering

Curious about how Uber automated audit for internet-scale financial transactions? Read on to understand how directed acyclic graph (DAG) ensures that every internal and external money movement is completely accounted for.

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?Top 10 Best Practices of Data Engineering in 2023

Knowledge Hut

Data is, without a doubt, the king of all business domains these days. Every business unit, including marketing , production, and finance, uses data to make significant decisions and carry out its operations. That is why every organization works towards designing and building structures for proper data storage and analysis. This process of data management is called data engineering.

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Telecom Data: Unlock Your Data Integrity Potential

Precisely

Telecommunications providers have led the way in using spatial analytics for network planning and strategic decision-making. They were among the earliest adopters of location intelligence, using geospatial analysis to enhance their understanding of network coverage and white space. To generate meaningful business value, however, telecom companies must develop and sustain high levels of data integrity within their telecom data.

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Workstreams in Project Management: Benefits, Examples, Types

Knowledge Hut

In project management, organizing and managing complex tasks is crucial for successful project execution. One practical approach to achieve this is by utilizing workstreams. Workstreams are essential to project management, helping teams break down projects into manageable sections and ensuring efficient coordination and collaboration. By enrolling in Project Management classes , professionals can enhance their skills in utilizing workstreams to optimize project outcomes.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Optimize Databricks Cluster Management

Acceldata

Learn how to optimize Databricks performance and cluster management by using the Acceldata Data Observability Cloud.

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Risk Owner in Project Management: Roles, Responsibilities, Skills

Knowledge Hut

In the realm of project management, success depends on effective risk management. Every project has its fair share of uncertainties and potential obstacles that can hinder progress or derail the entire endeavor. It is here that the role of a risk owner becomes paramount. A risk owner in project management plays a pivotal role in identifying, assessing, and managing risks throughout the project lifecycle, ensuring the project stays on track and achieves its objectives.

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Functional Error Handling in Kotlin, Part 2: Result and Either

Rock the JVM

By Riccardo Cardin In this series first part , we introduced some of the available strategies to handle errors in a functional fashion using Kotlin and the Arrow library. In this second part, we’ll continue our journey by looking at the Result and Either data types and how to use them to handle errors in a functional way. For the project’s setup, please refer to the first part of this series, in which we set up Maven and the needed dependencies.

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Open-Sourcing AvroTensorDataset: A Performant TensorFlow Dataset For Processing Avro Data

LinkedIn Engineering

Co-authors: Jonathan Hung , Pei-Lun Liao , Lijuan Zhang , Abin Shahab , Keqiu Hu TensorFlow is one of the most popular frameworks we use to train machine learning (ML) models at LinkedIn. It allows us to develop various ML models across our platform that power relevance and matching in the news feed, advertisements, recruiting solutions, and more. To ensure the best member experience, we want our models to be accurate and up-to-date, which requires training the models as fast as possible.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.