Snowflake

NOVEMBER 12, 2024

At Snowflake, we’re removing the barriers that prevent productive cooperation while building the connections to make working together easier than ever. Effective collaboration on data and AI has never been more closely tied to success.

AWS 94

AWS Cloud Programming Language High Quality Data 94

ProjectPro

JUNE 6, 2025

Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks. Access various data resources with the help of tools like SQL and Big Data technologies for building efficient ETL data pipelines. A data engineer relies on Python and other programming languages for this task.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

This guide is your roadmap to building a data lake from scratch. Data Lake Architecture- Core Foundations How To Build a Data Lake From Scratch-A Step-by-Step Guide Tips on Building a Data Lake by Top Industry Experts Building a Data Lake on Specific Platforms How to Build a Data Lake on AWS?

Data Lake 40

Data Lake Building Hadoop Raw Data 40

Teradata

MAY 30, 2025

Register now Home Insights Artificial Intelligence Article Build a Data Mesh Architecture Using Teradata VantageCloud on AWS Explore how to build a data mesh architecture using Teradata VantageCloud Lake as the core data platform on AWS. The data mesh architecture Key components of the data mesh architecture 1.

AWS 52

AWS Architecture Building Amazon Web Services 52

ProjectPro

JUNE 6, 2025

It involves building pipelines that can fetch data from the source, transform it into a usable form, and analyze variables present in the data. Build an Awesome Job Winning Data Engineering Projects Portfoli o Data Engineer: Job Growth in Future The demand for data engineers has been on a sharp rise since 2016.

Data Engineer 94

Data Engineer Data Engineering Engineering Amazon Web Services 94

ProjectPro

JUNE 6, 2025

Worried about building a great data engineer resume ? We also have a few tips and guidelines for beginner-level and senior data engineers on how they can build an impressive resume. We have seven expert tips for building the ideal data engineer resume. 180 zettabytes- the amount of data we will likely generate by 2025!

Data Engineering 40

Data Engineering Data Engineer Recruitment Building 40

ProjectPro

JUNE 6, 2025

Join us as we navigate the MLops landscape, uncovering the secrets to build a simple MLOps pipeline on your local machine that not only streamlines your workflow but elevates the impact of your machine learning projects. Best Practices for MLOps End to End Implementation Learn To Build Efficient MLOps Pipelines with ProjectPro!

Building 40

Building Machine Learning Raw Data Data Collection 40

ProjectPro

JUNE 6, 2025

Getting Started with NLTK NLP with NLTK in Python NLTK Tutorial-1: Text Classification using NLTK NLTK Tutorial-2: Text Similarity and Clustering using NLTK NLTK Tutorial-3: Working with Word Embeddings in NLTK Top 3 NLTK NLP Project Ideas for Practice Build Custom NLP Models using NLTK with ProjectPro!

Building 66

Building Datasets Python Algorithm 66

ProjectPro

JUNE 6, 2025

If you are new to machine learning , it means that you have been wheedled by this incredible field of study and its limitless possibilities of building applications that have never been implemented without human intervention, congratulations and welcome to the world of deep learning!

Deep Learning 97

Deep Learning Machine Learning Programming Language Python 97

ProjectPro

JUNE 6, 2025

Streamlit Project Example to Build a Customer Segmentation Model Customer segmentation divides customers into categories based on shared criteria so that organizations may effectively and appropriately promote each group. What makes Python one of the best programming languages for ML Projects? Check them out now!

Python 74

Python Project Google Cloud Medical 74

ProjectPro

JUNE 6, 2025

The CDK generates the necessary AWS CloudFormation templates and resources in the background, while allowing data engineers to leverage the full power of programming languages, including code reusability, version control, and testing. AWS CDK Concepts The AWS CDK has three core concepts: App, Constructs, and Stacks.

AWS 40

AWS Cloud Management Programming Language 40

ProjectPro

JUNE 6, 2025

Language-specific Initialization Initialization times vary throughout programming languages. Some languages may have faster cold starts compared to others. Language-specific Optimization The next step involves assessing the choice of programming language.

AWS 58

AWS Programming Language Amazon Web Services Media 58

ProjectPro

JUNE 6, 2025

AWS Machine Learning is a suite of services that helps you build, train, and deploy machine learning models. Here are a few reasons why a data scientist or data engineer must consider using AWS Machine Learning (ML) for building their projects- Scalability and Flexibility- AWS can scale your ML solutions based on demand.

Machine Learning 40

Machine Learning AWS Amazon Web Services Deep Learning 40

ProjectPro

JUNE 6, 2025

Building a real-world ETL project requires more than just moving data from one place to another—it demands a meticulous approach to ensuring data quality. Trust and Credibility: Organizations prioritizing data quality build trust with stakeholders, customers, and partners, enhancing their credibility in the market.

Building 40

Building High Quality Data Datasets Hadoop 40

ProjectPro

JUNE 6, 2025

Applications exchanging messages on the two ends can be written in a different programming language and don't have to conform to a specific message format. Message - These are the building blocks of partitions. They act as the message brokers between applications/services endpoints. Binary exchange.

Kafka 72

Kafka Java Big Data Architecture 72

Engineering at Meta

APRIL 28, 2025

We discovered that a flexible and incremental approach was necessary to onboard the wide variety of systems and languages used in building Metas products. Were upholding that by investing our vast engineering capabilities into building cutting-edge privacy technology. We believe that privacy drives product innovation.

Metadata 86

Metadata Data Utilities Data Warehouse 86

ProjectPro

JUNE 6, 2025

Key Features: With Dataproc, you can easily use the open-source tools, algorithms, and programming languages you are already familiar with on cloud-scale datasets. If you want to gain hands-on experience with Google Cloud Data Studio, you must explore Build a Scalable Event-Based GCP Data Pipeline.

Data Engineering 40

Data Engineering Data Engineer Engineering Google Cloud 40

KDnuggets

JUNE 10, 2025

As understanding how to deal with data is becoming more important, today I want to show you how to build a Python workflow with DuckDB and explore its key features. This works similarly to if-else statements in programming languages, allowing you to apply conditional logic in your queries. Let’s dive in! What Is DuckDB?

Python 103

Python Data Science SQL Machine Learning 103

Data Engineering Weekly

JUNE 30, 2025

The Data Platform Fundamentals Guide Learn the fundamental concepts to build a data platform in your organization. As languages become more niche and specific, the performance of these models drops off a cliff and becomes abysmal.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

ProjectPro

JUNE 6, 2025

Apache Airflow Project Ideas Build an ETL Pipeline with DBT, Snowflake and Airflow End-to-End ML Model Monitoring using Airflow and Docker AWS Snowflake Data Pipeline Example using Kinesis and Airflow 2. Apache Airflow Cons The learning curve can be steep for beginners. Requires substantial resources, especially for large-scale deployments.

Data Pipeline 49

Data Pipeline Google Cloud AWS Kafka 49

ProjectPro

JUNE 6, 2025

A data architect, in turn, understands the business requirements, examines the current data structures, and develops a design for building an integrated framework of easily accessible, safe data aligned with business strategy. Machine Learning Architects build scalable systems for use with AI/ML models.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. How can ProjectPro Help You Build a Career in AI? These people would then work in different teams to build and deploy a scalable AI application.

Engineering 75

Engineering Deep Learning Software Engineering Software Engineer 75

ProjectPro

JUNE 6, 2025

An ETL developer designs, builds and manages data storage systems while ensuring they have important data for the business. Still, he will not be able to proceed with making a connector for XML format, assuming he does not know programming languages and the ETL tool doesn't allow plugins.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Step 1: Learn a Programming Language Step 2: Understanding the Basics of Big Data Step 3: Set up the System Step 4: Master Spark Core Concepts Step 5: Explore the Spark Ecosystem Step 6: Work on Real-World Projects Resources to Learn Spark Learn Spark through ProjectPro Projects! Table of Contents Why Learn Apache Spark?

Programming Language 40

Programming Language Scala Hadoop Big Data 40

ProjectPro

JUNE 6, 2025

It even allows you to build a program that defines the data pipeline using open-source Beam SDKs (Software Development Kits) in any three programming languages: Java, Python, and Go. Cython Source: Wikipedia Cython is a static optimizer for the Python programming language.

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

As demand for data engineers increases, the default programming language for completing various data engineering tasks is accredited to Python. One of the main reasons for this popular accreditation is that it is one of the most popular languages for data science. Python also tops TIOBE Index for May 2022.

Python 40

Python Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Scala has been one of the most trusted and reliable programming languages for several tech giants and startups to develop and deploy their big data applications. Scala is a general-purpose programming language released in 2004 as an improvement over Java. Table of Contents What is Scala for Data Engineering?

Scala 40

Scala Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Hence, data engineering is building, designing, and maintaining systems that handle data of different types. The data engineering role requires professionals who can build various data pipelines to enable data-driven models. Build, test, and maintain database pipeline architectures. We call this system Data Engineering.

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Databricks is a cloud-based data warehousing platform for processing, analyzing, storing, and transforming large amounts of data to build machine learning models. Databricks vs. Azure Synapse: Programming Language Support Azure Synapse supports programming languages such as Python, SQL, and Scala.

Programming Language 40

Programming Language Data Lake Data Warehouse Scala 40

Netflix Tech

APRIL 8, 2025

The eBPF flow logs provide a comprehensive view of service topology and network health across Netflixs extensive microservices fleet, regardless of the programming language, RPC mechanism, or application-layer protocol used by individual workloads.

AWS 79

AWS Kafka Programming Cloud 79

ProjectPro

JUNE 6, 2025

Microsoft Azure is one of the most popular unified cloud-based platform for data engineers and data scientists to perform ETL processes and build ML models. Is it possible to utilize multiple languages in one notebook, or are there substantial restrictions? Write your program in Scala or Python if possible.

Scala 40

Scala Python SQL Data Lake 40

ProjectPro

JUNE 6, 2025

Due to this, analysts without a strong background in other programming languages can efficiently perform data transformation using dbt. With the help of Airflow, users can build highly detailed workflows and monitor their execution. The creation of boilerplate code is not necessary.

Data Workflow 40

Data Workflow Programming Language SQL Data Pipeline 40

ProjectPro

JUNE 6, 2025

Apache Spark Developer is a software developer or a big data developer who specializes in building large data-processing applications or solutions using Apache Spark big data framework. A spark developer must know one of these programming languages to write efficient and optimized Spark Applications.

Scala 40

Scala Programming Language Java Hadoop 40

ProjectPro

JUNE 6, 2025

Build, Design, and maintain data architectures using a systematic approach that satisfies business needs. 1) Data Warehousing With many companies showing great interest in data as a resource, most have started investing in building data warehouses that collect and store data from various sources regularly.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Let's delve deeper into the essential responsibilities and skills of a Big Data Developer: Develop and Maintain Data Pipelines using ETL Processes Big Data Developers are responsible for designing and building data pipelines that extract, transform, and load (ETL) data from various sources into the Big Data ecosystem.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Exploratory data analysis (EDA) is crucial in determining data collection structure in a data science workflow, and PySpark can be used for exploratory data analysis and building machine learning pipelines.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

Imagine you're a big data developer tasked with building a new serverless application for your organization. These platforms are based on the Functions as a Service (FaaS) model and support a variety of programming languages, as well as similar pricing models. However, choosing between these two options can be a challenge.

AWS 40

AWS Programming Language Java Big Data 40