Wed.Feb 28, 2024

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Kafka to MongoDB: Building a Streamlined Data Pipeline

Analytics Vidhya

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis. We know that streaming data is data that is emitted at high volume […] The post Kafka to MongoDB: Building a Streamlined Data Pipeline appeared first on Analytics Vidhya.

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Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps

KDnuggets

Begin your data professional journey from the basics of statistics to building a production-grade AI application.

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Introducing Robinhood Retirement For Independent Workers

Robinhood

Robinhood was founded on the belief that everyone should have access to the financial system. A growing number of people are moving away from the usual 9-5, shifting towards freelancing and side hustles to make a living. But traditional systems haven’t caught up – more than 50% of independent workers don’t feel that they have effective access to retirement and savings plans.

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AI Con USA: Navigate the Future of AI

KDnuggets

AI Con USA is scheduled for June 2-7 in Las Vegas, and it's bringing together some of the brightest minds in the realm of artificial intelligence and machine learning.

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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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A Deep Dive into the Latest Performance Improvements of Stateful Pipelines in Apache Spark Structured Streaming

databricks

This post is the second part of our two-part series on the latest performance improvements of stateful pipelines. The first part of this.

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Vector Database for LLMs, Generative AI, and Deep Learning

KDnuggets

Exploring the limitless possibilities of AI and making it context-aware.

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Bazel remote execution with rules_nixpkgs

Tweag

Tweag developed rules_nixpkgs to empower Bazel users with the ability to leverage Nix’s reproducible builds and its extensive package registry. That ruleset has proven to be especially advantageous in endeavors demanding intricate dependency administration and the maintenance of uniform build environments. However, rules_nixpkgs is incompatible with remote execution.

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4 Commandments of Project Management

FreshBI

Since Adam there have been 4 commandments of project management. Project Managers who can answer these questions on demand will succeed. Project Managers who cannot answer these questions on demand will fail. In the modern world of business, Project Managers making data-driven decisions will boast successful, profitable, and high-cash projects. The 4 commandments for Project Management are: Be On Time Be On Budget Adequately Plan Materials and Labor Adequately Plan for Sufficient Cash Runway Be

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The Symbiotic Relationship Between AI and Data Engineering

Ascend.io

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? Does it serve merely as an enhancement to the skills of data professionals, or does it redefine their roles entirely?

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A Simple Guide To Becoming CBA Professional

Knowledge Hut

The Certified Business Analysis Professional is a course offered by the International Institute of Business Analysis (IIBA) and can establish you as a certified business analyst in the global market. If you’re planning to get CBA certified, here’s how you can go about doing it. Apply For The Exam Applying for CBA exam is the first thing that you need to do.

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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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PyTorch Introduction — Using Custom Data

DareData

In this post of the PyTorch Introduction, we’ll learn how to use custom datasets with PyTorch, particularly tabular, vision and text data PyTorch is one of the hottest libraries in the Deep Learning field right now. Since ChatGPT’s release, deep learning libraries have arguably garnered the most attention among data scientists and machine learning engineers, particularly due to the current practical applications they enable.

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Dashboard Data Visualization: Benefits, Types and Examples

Knowledge Hut

The ability to track multiple key performance indicators (KPIs) and metrics is critical to business success today. It is not feasible to analyze and interpret large amounts of data manually. Data visualization has become vital to understanding the various trends present in the data – both visible, as well as hidden trends. Dashboards showcase visual trends and information such as KPIs (Key performance metrics), trends, filters, and forecasts.

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Using Streams Replication Manager Prefixless Replication for Kafka Topic Aggregation

Cloudera

Businesses often need to aggregate topics because it is essential for organizing, simplifying, and optimizing the processing of streaming data. It enables efficient analysis, facilitates modular development, and enhances the overall effectiveness of streaming applications. For example, if there are separate clusters, and there are topics with the same purpose in the different clusters, then it is useful to aggregate the content into one topic.

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7 Common Mistakes Often Committed By Business Analysts

Knowledge Hut

A business analyst ensures that the end product meets the requirements and parameters of project's stakeholders. Business analyst holds the responsibility to gather the requirements through streamlined communication with stakeholders and to make the sense of collected information in order to help the project team complete the tasks successfully. The most challenging and wide-scoped task of BA is to give the users what they want instead of giving what they need during requirements gathering.

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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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Snowflake Startup Spotlight: Chabi

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. In this edition, find out how Angad Singh, co-founder and CEO of Chabi , is working to give every company the chance to become data-driven with a modern data stack. How would you explain Chabi? Chabi is your all-in-one data stack with state-of-the-art, built-in data warehouse, ETL, data modeling and personalized analytics that are tailored to meet your unique data and BI needs.

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Future of Big Data: Key Trends to Learn From Experts

Knowledge Hut

From the moment we wake up in the morning till we go back to sleep, our lives run on data. It is almost like we are living deep inside the matrix and have no idea how to get out. Big data has enabled us to accelerate growth and development and reach a new phase for humanity. Things that would have been unimaginable a few centuries ago are now well within our grasp.