Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities.

Data Process 98

Data Process Process Raw Data Data 98

Cloudyard

JUNE 6, 2023

Parquet, columnar storage file format saves both time and space when it comes to big data processing. Snowflake Output Happy 0 0 % Sad 0 0 % Excited 0 0 % Sleepy 0 0 % Angry 0 0 % Surprise 0 0 % The post Data Ingestion with Glue and Snowpark appeared first on Cloudyard. Technical Implementation: GLUE Job.

Data Ingestion 94

Data Ingestion AWS Data Database 94

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. By systematically moving data through these layers, the Medallion architecture enhances the data structure in a data lakehouse environment.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

ProjectPro

JUNE 6, 2025

1) Build an Uber Data Analytics Dashboard This data engineering project idea revolves around analyzing Uber ride data to visualize trends and generate actionable insights. Store the data in in Google Cloud Storage to ensure scalability and reliability. by ingesting raw data into a cloud storage solution like AWS S3.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

ProjectPro

JUNE 6, 2025

A machine learning pipeline helps automate machine learning workflows by processing and integrating data sets into a model, which can then be evaluated and delivered. Increased Adaptability and Scope Although you require different models for different purposes, you can use the same functions/processes to build those models.

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

ProjectPro

JUNE 6, 2025

Looking for an efficient tool for streamlining and automating your data processing workflows? Let's consider an example of a data processing pipeline that involves ingesting data from various sources, cleaning it, and then performing analysis. Airflow operators hold the data processing logic.

PostgreSQL 63

PostgreSQL Data Pipeline Python Database 63

ProjectPro

JUNE 6, 2025

The journey from raw data to meaningful insights is no walk in the park. It requires a skillful blend of data engineering expertise and the strategic use of tools designed to streamline this process. That’s where data pipeline tools come in. What are Data Pipelines? How Do Data Pipelines Work?

Data Pipeline 49

Data Pipeline Google Cloud Kafka AWS 49

LinkedIn Engineering

JUNE 15, 2023

However, we found that many of our workloads were bottlenecked by reading multiple terabytes of input data. To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. If greater than one, records in files are processed in parallel.

Datasets 102

Datasets Bytes Process Data Ingestion 102

ProjectPro

JUNE 6, 2025

Source: Microsoft The primary purpose of a data lake is to provide a scalable, cost-effective solution for storing and analyzing diverse datasets. It allows organizations to access and process data without rigid transformations, serving as a foundation for advanced analytics, real-time processing, and machine learning models.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 6, 2025

Building a batch pipeline is essential for processing large volumes of data efficiently and reliably. Are you ready to step into the heart of big data projects and take control of data like a pro? Batch data pipelines are your ticket to the world of efficient data processing.

Data Pipeline 40

Data Pipeline Building Data Ingestion Retail 40

Rockset

MARCH 1, 2023

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

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Data Ingestion Database Cloud Storage Data Warehouse 144

Striim

NOVEMBER 13, 2023

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. As low as 3 seconds P95 latency with 158 gb/hr of Oracle CDC ingest. This method is particularly adept at handling large data sets securely and efficiently.

Data Ingestion 59

Data Ingestion Data Integration Utilities Data 59

Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

Data Ingestion 52

Data Ingestion Google Cloud Kafka Data Warehouse 52

ProjectPro

JUNE 6, 2025

With the rapid growth of data in the industry, businesses often deal with several challenges when handling complex processes such as data integration and analytics. This increases the demand for big data processing tools such as AWS Glue.

AWS 40

AWS IT Data Lake BI 40

Snowflake

APRIL 9, 2025

By enabling advanced analytics and centralized document management, Digityze AI helps pharmaceutical manufacturers eliminate data silos and accelerate data sharing. KAWA Analytics Digital transformation is an admirable goal, but legacy systems and inefficient processes hold back many companies efforts.

Pharmaceutical 98

Pharmaceutical Manufacturing Data Ingestion SQL 98

Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Table of Contents What is Data Ingestion?

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Data Lake 52

Knowledge Hut

JULY 3, 2023

Conventional batch processing techniques seem incomplete in fulfilling the demand of driving the commercial environment. This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

ProjectPro

JUNE 6, 2025

Did you know “ According to Google, Cloud Dataflow has processed over 1 exabyte of data to date.” The challenges of managing big data are well-known to anyone who has ever worked with it. These needs include event-time ordering, windowing by data attributes, and the demand for immediate answers.

Google Cloud 40

Google Cloud Java Data Ingestion SQL 40

ProjectPro

JUNE 6, 2025

With the ability to handle streaming data ingestion rates of up to millions of events per second, Amazon Kinesis has become a popular choice for high-volume data processing applications. Ready to take your data streaming to the next level? Look no further than Amazon Kinesis!

Kafka 40

Kafka AWS Amazon Web Services Data Ingestion 40

ProjectPro

JUNE 6, 2025

The architecture dynamically incorporates real-time, enterprise-specific data to enrich its outputs, which is unlike standard LLMs that rely only on pre-trained knowledge. Let us understand how the RAG LLM architecture works: First, enterprise data—such as documents, tables, or media—is processed.

Architecture 52

Architecture Data Ingestion Google Cloud AWS 52

Team Data Science

MAY 10, 2020

I can now begin drafting my data ingestion/ streaming pipeline without being overwhelmed. With careful consideration and learning about your market, the choices you need to make become narrower and more clear. I'll use Python and Spark because they are the top 2 requested skills in Toronto.

Data Pipeline 130

Data Pipeline Data Ingestion Kafka AWS 130

ProjectPro

JUNE 6, 2025

This is why companies turn to data pipeline solutions, which can extract, transform, and store data into centralized repositories for generating actionable business insight. These automated processes allow data scientists and analysts to focus on their work rather than worrying about poorly modeled, seldom updated, or unavailable data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hospitality 40

ProjectPro

JUNE 6, 2025

Data engineering is gradually becoming the backbone of companies looking forward to leveraging data to improve business processes. This blog will discover how Python has become an integral part of implementing data engineering methods by exploring how to use Python for data engineering.

Data Engineering 40

Data Engineering Data Engineer Python Engineering 40

Ascend.io

OCTOBER 28, 2024

What is Data Transformation? Data transformation is the process of converting raw data into a usable format to generate insights. It involves cleaning, normalizing, validating, and enriching data, ensuring that it is consistent and ready for analysis. This is crucial for maintaining data integrity and quality.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Data Validation 52

ProjectPro

JUNE 6, 2025

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Cloud Pub/Sub is a global, cloud-based messaging framework that has become increasingly popular among data engineers over recent years.

Google Cloud 40

Google Cloud Cloud Cloud Storage Data Ingestion 40

ProjectPro

JANUARY 25, 2022

PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. RDD uses a key to partition data into smaller chunks.

Big Data 52

Big Data Data Process Process Kafka 52

Snowflake

JULY 18, 2023

For many businesses, gathering compliance data means manually collecting PDFs and screenshots. That’s a slow and laborious process, but anecdotes AI streamlines compliance and eliminates redundant work with its advanced compliance data infrastructure. The Data Cloud unlocks massive go-to-market opportunities.”

Data Process 52

Data Process Process Data Lake Data Ingestion 52

ProjectPro

JUNE 6, 2025

In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool. For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. AWS Glue automates several processes as well.

AWS 66

AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

These tools are responsible for making the day-to-day tasks of a data engineer easier in various ways. Data ingestion systems such as Kafka , for example, offer a seamless and quick data ingestion process while also allowing data engineers to locate appropriate data sources, analyze them, and ingest data for further processing.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment.

ETL Tools 40

ETL Tools Hadoop Relational Database Unstructured Data 40

ProjectPro

JUNE 6, 2025

What industry is big data developer in? What is a Big Data Developer? A Big Data Developer is a specialized IT professional responsible for designing, implementing, and managing large-scale data processing systems that handle vast amounts of information, often called "big data." Billion by 2026.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Data is often referred to as the new oil, and just like oil requires refining to become useful fuel, data also needs a similar transformation to unlock its true value. This transformation is where data warehousing tools come into play, acting as the refining process for your data. Standard SQL support for querying.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

Enter Azure Databricks – the game-changing platform that empowers data professionals to streamline their workflows and unlock the limitless potential of their data. With Azure Databricks, managing and analyzing large volumes of data becomes effortlessly seamless. What is Azure Databricks Used for?

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

If you are willing to gain hands-on experience with Google BigQuery , you must explore the GCP Project to Learn using BigQuery for Exploring Data. Google Cloud Dataproc Dataproc is a fully-managed and scalable Spark and Hadoop Service that supports batch processing, querying, streaming, and machine learning. PREVIOUS NEXT <

Data Engineering 40

Data Engineering Data Engineer Engineering Google Cloud 40