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. The following figure shows a snapshot of VDK UI.

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Data Process Process Raw Data Data 81

Tweag

APRIL 26, 2023

Moreover, these steps can be combined in different ways, perhaps omitting some or changing the order of others, producing different data processing pipelines tailored to a particular task at hand.

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Data Process Process Programming Data 98

LinkedIn Engineering

JANUARY 19, 2024

Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. With our new data processing framework, we were able to observe a multitude of benefits, including 99.9%

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Recruitment Data Process Process Kafka 88

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

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Data Process Process Data Cleanse Data Mining 52

Cloudyard

FEBRUARY 19, 2024

Renaming these columns for clarity is achieved through the as_ aliasing functionality, enhancing the readability of the subsequent data processing steps. The process credit card details are avalaible into a Snowflake table, “CARD_JSON_DATA,” offering a centralized repository for further analysis and reporting.

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Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

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Precisely

JULY 25, 2023

We call these strategic data processes. They tend to be more complex processes that frequently rely on human-in-the-loop activities. They typically involve scenarios in which getting the data right is especially critical–for example, if the data or processes are subject to compliance audits.

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Data Process Process Data Data Integration 52

Towards Data Science

FEBRUARY 12, 2024

Let’s learn what… Continue reading on Towards Data Science » In this first article, we’re exploring Apache Beam, from a simple pipeline to a more complicated one, using GCP Dataflow.

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Data Pipeline Data Process Process Data Science 96

Data Engineering Podcast

SEPTEMBER 24, 2021

Your host is Tobias Macey and today I’m interviewing Ehsan Totoni about Bodo, a system for automatically optimizing and parallelizing python code for massively parallel data processing and analytics Interview Introduction How did you get involved in the area of data management?

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Data Process Python Process Data Lake 100

DataKitchen

NOVEMBER 4, 2021

The typical pharmaceutical organization faces many challenges which slow down the data team: Raw, barely integrated data sets require engineers to perform manual , repetitive, error-prone work to create analyst-ready data sets. Cloud computing has made it much easier to integrate data sets, but that’s only the beginning.

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Hevo

APRIL 26, 2024

Most organizations find it challenging to manage data from diverse sources efficiently. However, simply storing the data isn’t enough. To drive your business growth, you need to analyze this data to […]

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AWS Amazon Web Services Data Process Process 52

Striim

NOVEMBER 17, 2023

Real-time data processing in the world of machine learning allows data scientists and engineers to focus on model development and monitoring. Striim’s strength lies in its capacity to connect to over 150 data sources, enabling real-time data acquisition from virtually any location and simplifying data transformations.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

databricks

MARCH 4, 2024

StreamNative, a leading Apache Pulsar-based real-time data platform solutions provider, and Databricks, the Data Intelligence Platform, are thrilled to announce the enhanced Pulsar-Spark.

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Data Process Process Data 97

Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. It’s time-consuming, brittle, and often unrewarding.

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Data Engineering Data Engineer Data Process Process 183

Snowflake

MARCH 16, 2023

But in the future I absolutely hope that we can start sharing using the Data Cloud.” The post <strong>John Lewis Partnership Standardizes its Data Processes in Snowflake’s Data Cloud</strong> appeared first on Snowflake.

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Data Process Cloud Process IT 52

KDnuggets

AUGUST 21, 2023

A comprehensive comparison between OLAP and OLTP systems, exploring their features, data models, performance needs, and use cases in data engineering.

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Systems Data Process Process Data 78

DoorDash Engineering

NOVEMBER 21, 2022

Creating a general framework for the Kafka and Cadence portions makes the system easily extensible, as adding new functionality involves only writing the core business logic that needs to be updated, saving the developer the time and effort for thinking about how to move the data around in a fast and durable way.

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Data Process Process Kafka Database 58

Snowflake

JULY 18, 2023

Democratized data compliance for everyone that needs it The company’s target customers are generally compliance professionals whose roles don’t naturally involve the deep-dive data processing and manipulation skills necessary for dealing with complex data sets. The Data Cloud unlocks massive go-to-market opportunities.”

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Data Process Process Data Lake BI 52

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries.

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Data Process Process Metadata Business Intelligence 100

Data Engineering Podcast

FEBRUARY 20, 2022

Summary Python has grown to be one of the top languages used for all aspects of data, from collection and cleaning, to analysis and machine learning.

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Python Data Process IT Building 100

databricks

JUNE 15, 2023

We are excited to announce the official launch of the Google Pub/Sub connector for the Databricks Lakehouse Platform. This new connector adds to.

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Google Cloud Data Process Process Cloud 88

ProjectPro

JANUARY 25, 2022

PySpark Filter is used in conjunction with the Data Frame to filter data so that just the necessary data is used for processing, and the rest can be scarded. This allows for faster data processing since undesirable data is cleansed using the filter operation in a Data Frame.

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Big Data Data Process Process Kafka 52

Cloudera

SEPTEMBER 11, 2018

The open data processing pipeline. IoT is expected to generate a volume and variety of data greatly exceeding what is being experienced today, requiring modernization of information infrastructure to realize value. The post Building an Open Data Processing Pipeline for IoT appeared first on Cloudera Blog.

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Data Process Process Building Machine Learning 40

Data Engineering Podcast

DECEMBER 31, 2018

Summary As more companies and organizations are working to gain a real-time view of their business, they are increasingly turning to stream processing technologies to fullfill that need. However, the storage requirements for continuous, unbounded streams of data are markedly different than that of batch oriented workloads.

Lambda Architecture 100

Lambda Architecture Process Data Process Kafka 100

Start Data Engineering

MAY 28, 2024

Building efficient data pipelines with DuckDB 4.1. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Use DuckDB 4.4.

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Data Pipeline Python Building Data 219

Snowflake

JUNE 5, 2024

With Snowpark’s existing DataFrame API , users have access to a robust framework for lazily evaluated, relational operations on data, closely resembling Spark’s conventions. pandas is the go-to data processing library for millions worldwide, including countless Snowflake users. Why introduce a distributed pandas API?

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Python Programming Language Government SQL 109

Analytics Vidhya

FEBRUARY 28, 2023

A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud.

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Big Data Machine Learning Cloud Data Process 310

Seattle Data Guy

APRIL 25, 2024

As data increased in volume, velocity, and variety, so, in turn, did the need for tools that could help process and manage those larger data sets coming at us at ever faster speeds.

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Big Data Data Process Process Management 147

Waitingforcode

APRIL 18, 2024

Streaming jobs are supposed to run continuously but it applies to the data processing logic. After all, sometimes you may need to release a new job package with upgraded dependencies or improved business logic. What happens then?

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Data Process Process IT Data 130

Snowflake

JUNE 20, 2024

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models.

Data Engineering 91

Data Engineering Data Engineer Scala Engineering 91

Analytics Vidhya

FEBRUARY 7, 2023

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications.

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Data Engineering Data Engineer Engineering Data 240

Analytics Vidhya

FEBRUARY 23, 2023

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze.

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Big Data Tools Big Data Datasets Data 234

Analytics Vidhya

FEBRUARY 13, 2023

Introduction Every data scientist demands an efficient and reliable tool to process this big unstoppable data. Today we discuss one such tool called Delta Lake, which data enthusiasts use to make their data processing pipelines more efficient and reliable.

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Data Process Process Data Data Warehouse 235

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Big data processing is crucial today. Big data analytics and learning help corporations foresee client demands, provide useful recommendations, and more. Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy.

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Hadoop Big Data Data Analytics Data Process 230

Analytics Vidhya

APRIL 28, 2023

It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time. Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011.

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Kafka Scala Coding Data Process 201

Waitingforcode

DECEMBER 19, 2023

Even though nowadays data processing frameworks and data stores have smart query planners, they don't take our responsibility to correctly design the job logic.

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Designing Data Process Process Data 130

Analytics Vidhya

FEBRUARY 19, 2023

Introduction Data pipelines play a critical role in the processing and management of data in modern organizations. A well-designed data pipeline can help organizations extract valuable insights from their data, automate tedious manual processes, and ensure the accuracy of data processing.

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Data Pipeline Data Designing Data Process 197