Sat.Jun 10, 2023 - Fri.Jun 16, 2023

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The Journey of a Senior Data Scientist and Machine Learning Engineer at Spice Money

Analytics Vidhya

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence. In this article, we explore Tajinder’s inspiring success story.

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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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Data News — Week 23.24

Christophe Blefari

The newsletter, a metaphor ( credits ) Hello, after the good weather comes the storm. I'm now under the Berlin rain with 20° When I write in these conditions I feel like a tortured author writing a depressing novel while actually today I'll speak about the AI Act, Python, SQL and data platforms. Casual day at the office finally. Some personal news, next Monday and Tuesday I'll be at Berlin Buzzwords, if you're ping me, it would be a pleasure to meet and hang together.

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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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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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The Journey of a Senior Data Scientist and Machine Learning Engineer in Fintech Domain

Analytics Vidhya

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence. In this article, we explore Tajinder’s inspiring success story.

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How to become a valuable data engineer

Start Data Engineering

1. Introduction 2. Skills 2.1. Business Impact 2.1.1. Know your business 2.1.2. Money & Time 2.2. Technical skills 3. Build impactful projects 4. Conclusion 5. Further reading 1. Introduction So you are a new data engineer (or looking for a DE job) and want to better yourself as a data engineer. However, when you look at job postings or company tech stack, you are overwhelmed by the sheer amount of tools you have to learn!

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Accelerating Business With Data, Analytics and AI: Announcing the Finalists for the 2023 Databricks Data Team Disruptor Award

databricks

The annual Data Team Awards showcase how different enterprise data teams are delivering solutions to some of the world’s toughest problems. Nearly 300 n.

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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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How to identify your business-critical data

Towards Data Science

How to Identify Your Business-Critical Data Practical steps to identifying business-critical data models and dashboards and drive confidence in your data Source: synq.io This article has been co-written with Lindsay Murphy Not all data is created equal. If you work in a data team you know that if a certain dashboard breaks you drop everything and jump on it, whereas other issues can wait until the end of the week.

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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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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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Lakehouse Orchestration with Databricks Workflows

databricks

Organizations across industries are adopting the lakehouse architecture and using a unified platform for all their data, analytics and AI workloads. When moving.

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Repurposing Deep Learning Models using Transfer Learning in ArcGIS

ArcGIS

Re-train a deep learning model using transfer learning in ArcGIS. Start with an Esri pre-trained model, then create more training samples.

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Unleashing the Power of CDC With Snowflake

Workfall

Reading Time: 9 minutes Picture a vibrant landscape of bustling tech hubs, where businesses thrive and decisions are made in the blink of an eye. In this dynamic realm of data engineering, a monumental challenge takes centre stage: efficiently managing the ever-changing tides of real-time data. Data, the lifeblood of organisations, holds the key to unlocking untapped potential and propelling businesses forward.

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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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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.

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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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Understanding level of detail in Business Analyst’s color-coded maps

ArcGIS

The new color-coded map functionality introduces enhanced map visualization, interactive panels and level of detail control.

Coding 98
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Escrow Buddy: An open-source tool from Netflix for remediation of missing FileVault keys in MDM

Netflix Tech

Netflix has open-sourced Escrow Buddy, which helps Security and IT teams ensure they have valid FileVault recovery keys for all their Macs in MDM. To be a client systems engineer is to take joy in small endpoint automations that make your fellow employees’ day a little better. When somebody is unable to log into their FileVault-encrypted Mac, few words are more joyful to hear than a support technician saying, “I’ve got your back.

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10 ChatGPT Plugins for Data Science Cheat Sheet

KDnuggets

For an overview of what we believe to be the 10 of the best ChatGPT plugins for data science, check out our latest cheat sheet.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Introducing the Well-Architected Data Lakehouse from Databricks

databricks

To provide customers with a framework for planning and implementing their data lakehouse, we are pleased to announce that we have recently published.

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ANZ Bank’s Advances Data-Driven Analytics With Cloudera

Cloudera

Australia and New Zealand Banking Group (ANZ), one of Australia’s Big Four banks and one of New Zealand’s top banks, offers commercial and retail banking and financial services from more than 1,100 branches and offices. The bank offerings include standard deposit and lending services, credit cards, wealth management, agribusiness finance and insurance, and foreign exchange services for other financial institutions.

Banking 76
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Blend mode helper

ArcGIS

A color card reference layer, for exploring and understanding the visual effects of blend modes in any map.

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How to Optimize SQL Queries for Faster Data Retrieval

KDnuggets

Today, we’ll talk about why SQL query optimization is important and which techniques can be used to optimize it.

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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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What’s New with Databricks 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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Meet Caroline, Our June 2023 Confluent Champion

Confluent

Meet Caroline Staudenraus—Account Executive in Confluent’s digital native commercial segment. FInd out how she has made a difference at Confluent since she joined in 2018.

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Building a historical user segmentation model with dbt

dbt Developer Hub

Introduction ​ Most data modeling approaches for customer segmentation are based on a wide table with user attributes. This table only stores the current attributes for each user, and is then loaded into the various SaaS platforms via Reverse ETL tools. Take for example a Customer Experience (CX) team that uses Salesforce as a CRM. The users will create tickets to ask for assistance, and the CX team will start attending them in the order that they are created.

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How to MLOps like a Boss: A Guide to Machine Learning without Tears

KDnuggets

If you have ever emailed a.pickle file to engineers for deployment, this is for YOU!

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Welcome Rubicon to Databricks: The Future of AI Storage and Serving Systems

databricks

We are incredibly excited to announce that the team behind Rubicon is joining Databricks. Founded by large scale infrastructure builders, Akhil Gupta and.

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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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Data Engineering Weekly #134

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. Metis: Building Airbnb’s Next-Generation Data Management Platform Airbnb writes about its next-generation data management platform, “Metis,” with a modernized data catalog approach.

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The Effects of ChatGPT in Schools and Why It’s Getting Banned

KDnuggets

Many schools are banning ChatGPT for plagiarism, accuracy and privacy concerns. However, the chatbot could help students and teachers with the right application.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.