Mon.Jun 12, 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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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.

SQL 142
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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 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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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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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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OpenAI’s Approach to AI Safety

KDnuggets

What will happen with safety approaches in AI systems after OpenAI’s CEO Sam Altman testified about the concerns around new technology?

More Trending

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Create a Time Series Ratio Analysis Dashboard

KDnuggets

Learn how to build a web-based, interactive, time series ratio analysis dashboard on your own business ratios in four easy steps.

Building 109
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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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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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Debug your code and notebooks by using Visual Studio Code

databricks

Earlier this year we launched the official Databricks extension for Visual Studio Code. Today we are adding support for interactive debugging and local.

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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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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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Large Language Models in Communications

databricks

The communications industry is undergoing a transformative shift – from utility to value added service provider – and data and AI is at the.

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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 Databricks Lakehouse Platform for Cybersecurity Applications

databricks

Visit the GitHub reo for the IOC matching solution accelerator. Or, we can help you with a Proof-of-Concept (POC), so contact us at.

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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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Real-Time Clinical Trial Monitoring at Clinical ink

Rockset

Clinical ink is a suite of software used in over a thousand clinical trials to streamline the data collection and management process, with the goal of improving the efficiency and accuracy of trials. Its cloud-based electronic data capture system enables clinical trial data from more than 2 million patients across 110 countries to be collected electronically in real-time from a variety of sources, including electronic health records and wearable devices.

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How Tenable Built a Reliable Data Platform at Terabyte Scale with Monte Carlo

Monte Carlo

We’ve seen it time and time again — change is the only constant for data teams. New sources to ingest. New customers hungry for data. New team structures to support them. And, occasionally, an entirely new data platform to meet evolving business needs. That’s precisely where Vinny Gilcreest , the Senior Director of Engineering, Data and Analytics at Tenable, found himself within the last two years.

Kafka 52
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Why the Data Journey Manifesto?

DataKitchen

Why the Data Journey Manifesto? So why another manifesto in the world? Really? Why should I care? About seven years ago, we wrote the DataOps Manifesto. We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session.

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5 Advanced Techniques with Redshift’s ROW_NUMBER

Monte Carlo

I know, I know, you’re probably thinking, “Row number? What could be so advanced about counting rows?” Ah, my dear reader, prepare to be delightfully surprised. This little function, this humble numerical assigner, is about to become your best friend, your secret weapon, your go-to tool in the vast toolbox of Redshift. This is no mere counter of rows.

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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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IMMO Powers Europe’s First Technology-Led Residential Real Estate Platform with Snowflake

Snowflake

See how IMMO uses the Snowflake Data Cloud to unlock the residential retail market, and provide key insights to investors. Founded in 2017, IMMO is on a mission to fix a broken real estate market, making it more equitable, safe, accountable, and accessible. The company estimates that only 4% of available residential real estate is targeted by investors – largely due to the inherent complexity involved.

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X3M Drives Average Revenue Per User With Real-Time Waterfall Optimization

Mutt Data

About The Company X3M emerges as a fresh and dynamic AdTech enterprise with strong industry support. Their primary goal is to establish a publisher-centric approach in an industry predominantly focused on advertisers. Originally receiving support from Etermax , X3M has since evolved into an autonomous entity committed to transparency and impartiality.

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One Big Cluster Stuck: Platform Health

Cloudera

Platform Health Clearly environmental health and high performance are dependent on the proper implementation, tuning, and use of CDP, hardware, and microservices. Ideally you have Visibility and Transparency into existing high priority problems in your environment. The links below will carry you to regions within the Cloudera Community where you will find best practices to properly implement and tune hardware and services.

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X3M Drives Average Revenue Per User With Real-Time Waterfall Optimization

Mutt Data

About The Company X3M emerges as a fresh and dynamic AdTech enterprise with strong industry support. Their primary goal is to establish a publisher-centric approach in an industry predominantly focused on advertisers. Originally receiving support from Etermax , X3M has since evolved into an autonomous entity committed to transparency and impartiality.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Build Trusted Data for Your Insurance Cloud Migration Initiatives

Precisely

It is a challenge for insurance companies to increase organizational agility in the face of rapidly evolving business conditions and a changing regulatory environment. High inflation and an increase in claims have fueled escalating costs. The ongoing global pandemic has underscored the need for insurance carriers to be highly responsive and adaptable to change.