ProjectPro

JUNE 6, 2025

Have you ever considered the challenges data professionals face when building complex AI applications and managing large-scale data interactions? These obstacles usually slow development, increase the likelihood of errors and make it challenging to build robust, production-grade AI applications that adapt to evolving business requirements.

Building 40

Building Pipeline-centric Database-centric Data Validation 40

ProjectPro

JUNE 6, 2025

Similarly, companies with vast reserves of datasets and planning to leverage them must figure out how they will retrieve that data from the reserves. Additionally, the website reported that the number of job positions was almost similar in 2019 and 2020. Imagine you are planning to start a small convenience store.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

Pinterest Engineering

JANUARY 4, 2024

In order to build a distributed and replicated service using RocksDB, we built a real time replicator library: Rocksplicator. Motivation As explained in this blog post , in 2019, Pinterest had four different key-value services with different storage engines including RocksDB, HBase, and HDFS. Individual rows constitute a dataset.

Database 98

Database Building Datasets Relational Database 98

ProjectPro

JUNE 6, 2025

Transfer Learning Examples Keras Transfer Learning Implementation in Python Build exciting Deep Learning Systems with ProjectPro! In traditional machine learning, models are trained from scratch on specific datasets, requiring large amounts of labeled data and computational resources. FAQs What is Transfer Learning in Deep Learning?

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

ProjectPro

JUNE 6, 2025

In fact, as per a report by Dice Insights in 2019, companies are hungry for data engineers as the job role ranked at the top of the list of trending jobs. Build, Design, and maintain data architectures using a systematic approach that satisfies business needs. In 2021, LinkedIn named it one of the jobs on the rise in the United States.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

we suggest you keep in mind this helpful tip on building computer vision project by Timpthy Goebel. Well, you can build your Similar Image Finder too. Thus, building a system that can automatically detect who is not wearing a mask is the need of the hour. It is possible to build such a system with deep learning models.

Project 66

Project Deep Learning Datasets Algorithm 66

ProjectPro

JUNE 6, 2025

This project, although simple, is intended entirely towards understanding the various features available and configurable using the matplotlib library for a simple scatter plot, which is generally used to observe the relations between two attributes in the dataset. NOTE: The plots generated here are, however, Matplotlib objects.

Coding 67

Coding Project Machine Learning Datasets 67

ProjectPro

JUNE 6, 2025

Also, remove all missing and NaN values from the dataset, as incomplete data is unnecessary. You can use the Huge Stock Market Dataset or the NY Stock Exchange Dataset to implement this machine learning for finance project. To start this machine learning project , download the Credit Risk Dataset. Our data is imbalanced.

Finance 75

Finance Machine Learning Project Banking 75

Netflix Tech

OCTOBER 19, 2020

This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. The following sections describe our journey in building these components.

Building 97

Building Transportation Java Metadata 97

ProjectPro

JUNE 6, 2025

Skills Required to Become a Deep Learning Engineer Deep Learning Engineer Toolkit Becoming a Deep Learning Engineer - Next Steps Deep Learning Engineer Jobs Growth Deep learning is the driving force of artificial intelligence that is helping us build applications with high accuracy levels.

Deep Learning 45

Deep Learning Engineering Programming Language Software Engineer 45

ProjectPro

JUNE 6, 2025

FAQs on Data Mining Projects 15 Top Data Mining Projects Ideas Data Mining involves understanding the given dataset thoroughly and concluding insightful inferences from it. Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset.

Data Mining 52

Data Mining Coding Project Datasets 52

Engineering at Meta

FEBRUARY 4, 2025

2019: Users can view their activity off Meta-technologies and clear their history. Current design Finally, we considered whether it would be possible to build a system that relies on amortizing the cost of expensive full table scans by batching individual users requests into a single scan. feature on Facebook.

Accessible 89

Accessible Accessibility Raw Data Data Warehouse 89

ProjectPro

JUNE 6, 2025

This blog explores the various aspects of building a Hadoop-based BI solution and offers a few Hadoop-BI project ideas for practice. Business intelligence OLAP is a powerful technology used in BI to perform complex analyses of large datasets. Hadoop-based BI solutions can be scaled up or down to handle large and complex datasets.

BI 40

BI Hadoop Big Data Business Intelligence 40

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. These formats are transforming how organizations manage large datasets. 2019 - Delta Lake Databricks released Delta Lake as an open-source project. Why are They Essential?

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

JUNE 6, 2025

Online fraud cases using credit and debit cards saw a historic upsurge of 225 percent during the COVID-19 pandemic in 2020 as compared to 2019. As per the NCRB report, the tally of credit and debit card fraud stood at 1194 in 2020 compared to 367 in 2019. lakh crore being syphoned off.

Machine Learning 40

Machine Learning Project Algorithm Datasets 40

Preset

NOVEMBER 19, 2023

Superset shines in the following areas: Customizability: Superset offers flexibility for customization and extension, enabling organizations to build their modern data stacks. Analysts can also write ad-hoc queries, aggregate and manipulate data, and join multiple tables to create virtual datasets. This isnt a new phenomenon. .

BI 52

BI Business Intelligence SQL Python 52

ProjectPro

JUNE 6, 2025

from 2019 to 2027, rising to $19.20 Additionally, it offers custom dashboards that give users a 360-degree view of all actions, reports, and datasets. Excel offers only a few built-in charts, and building dashboards requires working exclusively with those charts. It is not the best tool for massive datasets, though.

BI 40

BI Database-centric Data Science Datasets 40

Confluent

JULY 3, 2019

For more details on how to build a UD(A)F function, please refer to How to Build a UDF and/or UDAF in KSQL 5.0 The following part of this blog post focuses on pushing the dataset into Google BigQuery and visual analysis in Google Data Studio. wwc : defines the BigQuery dataset name. setContent(text).setType(Type.PLAIN_TEXT).build();

Data Analysis 21

Data Analysis Kafka Datasets Java 21

ProjectPro

JUNE 6, 2025

The bureau’s report also suggests that we are likely to witness an increase in the jobs of management analysts by 11% between 2019 and 2029. Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. The rate is pretty higher than the average for other occupations.

Business Analyst 75

Business Analyst Project Retail Banking 75

Towards Data Science

MAY 30, 2023

Comparing the performance of ORC and Parquet on spatial joins across 2 Billion rows on an old Nvidia GeForce GTX 1060 GPU on a local machine Photo by Clay Banks on Unsplash Over the past few weeks I have been digging a bit deeper into the advances that GPU data processing libraries have made since I last focused on it in 2019.

Data Engineer 97

Data Engineer Data Engineering Engineering Datasets 97

ProjectPro

JUNE 6, 2025

Between 2019-02-01 and 2019-05-01, find the customer with the highest overall order cost. Also, assume that each first name in the dataset is distinct. Common Table Expressions (CTEs) are expressions used to build temporary output tables from which data can be obtained and used. What is meant by cte in SQL Server?

SQL 40

SQL MySQL MongoDB Data 40

Cloudera

DECEMBER 14, 2021

They created a system to spread data across several servers with GPU-based processing so large datasets could be managed more effectively across the board. . LG Uplus , a South Korean telecommunications service provider, had just launched the world’s first 5G service in April 2019 but was struggling to commercialize it.

Transportation 111

Transportation Telecommunication Banking Data Lake 111

ProjectPro

JUNE 6, 2025

This guide has a list of common SQL interview questions and answers to help beginners prepare for SQL interviews with clear questions, simple answers, and easy-to-follow examples that build your confidence and understanding. Between 2019-02-01 and 2019-05-01, find the customer with the highest overall order cost. What is RDBMS?

SQL 40

SQL MySQL MongoDB Database 40

ProjectPro

JUNE 6, 2025

The ai and machine learning job opportunities have grown by 32% since 2019, according to Linkedin’s ‘ Jobs on the Rise ’ list in 2021. The ML engineer would be responsible for working on various Amazon projects , such as building a product recommendation system or, a retail price optimization system.

Machine Learning 40

Machine Learning Deep Learning Algorithm Programming Language 40

Rockset

MARCH 1, 2023

But, these two functions directly compete for the available compute resources, creating a fundamental limitation that makes it difficult to build efficient, reliable real-time applications at scale. OLTP databases aren’t built to ingest massive volumes of data streams and perform stream processing on incoming datasets. Michael Carey.

Data Ingestion 144

Data Ingestion Database Cloud Storage SQL 144

Knowledge Hut

MAY 2, 2024

According to the marketanalysis.com report forecast, the global Apache Spark market will grow at a CAGR of 67% between 2019 and 2022. billion (2019 – 2022). Dynamic nature: Spark offers over 80 high-level operators that make it easy to build parallel apps. count(): Return the number of elements in the dataset.

Scala 96

Scala Hadoop Java Datasets 96

Netflix Tech

NOVEMBER 13, 2023

Practical use cases for speech & music activity Audio dataset preparation Speech & music activity is an important preprocessing step to prepare corpora for training. Nevertheless, noisy labels allow us to increase the scale of the dataset with minimal manual efforts and potentially generalize better across different types of content.

Metadata 98

Metadata Datasets Algorithm Architecture 98

DataKitchen

APRIL 13, 2021

DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Soda doesn’t just monitor datasets and send meaningful alerts to the relevant teams.

Consulting 121

Consulting Machine Learning Data Science Government 121

Rockset

MARCH 18, 2024

Building a real-time, contextual and trustworthy knowledge base for AI applications revolves around RAG pipelines. What are the challenges building RAG pipelines? When you are building applications for consistent, real-time performance at scale you will want to use a streaming-first architecture.

Cloud 64

Cloud Building Metadata Kafka 64

ProjectPro

JUNE 6, 2025

Having that designation means you can build end-to-end machine learning solutions , which is a highly marketable skill set considering the fact that it has been the fastest-growing job title in the world since 2019. Build a strong portfolio of industry-level ML projects. 2025 Update) 2) What is a machine learning engineer?

Machine Learning 67

Machine Learning Engineering Programming Language Portfolio 67

Confluent

AUGUST 29, 2019

If Kafka is persisting your log of messages over time, just like with any other event streaming application, you can reconstitute datasets when needed. Here, we have three sample records moving over the “friends” topic in Kafka.

Kafka 55

Kafka Process Algorithm Cloud 55

ProjectPro

JUNE 6, 2025

Encoder-Decoder Structure The encoder-decoder structure is one of the building blocks used in sequence-to-sequence tasks, such as language translation. The pre-trained model is fine-tuned using a smaller labeled dataset on a specific task. How Does The Transformer Model Differ from Traditional NLP Models?

Machine Learning 40

Machine Learning Architecture Deep Learning Datasets 40

KDnuggets

OCTOBER 24, 2019

In this post, you will see 3 different techniques of how to do Feature Selection to your datasets and how to build an effective predictive model.

Datasets 123

Datasets Building Machine Learning 123

ProjectPro

JUNE 6, 2025

The RMSNorm normalizing function, introduced by Zhang and Sennrich in 2019, is used for this purpose. LLaMA vs Alpaca: Training Data The LLaMA model has been trained on a mixture of datasets that span various domains and contains about 1.4T The datasets used are publicly available and compatible with open sourcing.

Deep Learning 53

Deep Learning Programming Language Datasets Architecture 53

Cloudera

DECEMBER 11, 2020

That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018. It may not replace previous datasets, but alternative data offers another perspective to round out the historical information about an individual customer or business. .

Insurance 95

Insurance Unstructured Data Finance Machine Learning 95

AltexSoft

NOVEMBER 15, 2022

Read on to find out what occupancy prediction is, why it’s so important for the hospitality industry, and what we learned from our experience building an occupancy rate prediction module for Key Data Dashboard — a US-based business intelligence company that provides performance data insights for small and medium-sized vacation rentals.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

Knowledge Hut

JUNE 25, 2024

This book's publisher is "No Starch Press," and the second edition was released on November 12, 2019. The first edition was launched on February 25, 2015, and the second edition was issued on May 3, 2019. Explains how to build, tweak, and reliably deploy web apps online. Readers gave this book a rating of 4.36

Data Science 97

Data Science Python Hadoop Media 97