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.

Data Process 52

Data Process Process Data Data Integration 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.

Data Process 108

Data Process Process Data 108

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.

Process 98

Process Data Process Pharmaceutical Data Lake 98

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

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.

Data Process 52

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.

Systems 72

Systems Data Process Process Data 72

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.

Google Cloud 98

Google Cloud Data Process Process Cloud 98

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.

Data Process 40

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

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.

Big Data 130

Big Data Data Process Process Management 130

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?

Data Process 130

Data Process Process IT Data 130

Pinterest Engineering

SEPTEMBER 12, 2023

Since it takes so long to iterate on workflows, some ML engineers started to perform data processing directly inside training jobs. This is what we commonly refer to as Last Mile Data Processing. Last Mile processing can boost ML engineers’ velocity as they can write code in Python, directly using PyTorch.

Data Process 87

Data Process Process Datasets Scala 87

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%

Recruitment 88

Recruitment Data Process Process Kafka 88

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.

Big Data 310

Big Data Machine Learning Cloud Data Process 310

Waitingforcode

DECEMBER 5, 2023

I've always considered horizontal scaling as the single true scaling policy for elastic data processing pipelines. The "vertical scaling" has caught my attention a few times already when I have been reading about cloud updates. Have I been wrong?

Data Process 130

Data Process Process Cloud Data 130

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up.

Data Process 147

Data Process Process Data Lake High Quality Data 147

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.

Data Engineering 240

Data Engineering Data Engineer Engineering Data 240

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.

Data Process 77

Data Process Process Raw Data Data 77

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.

Big Data Tools 234

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.

Data Process 235

Data Process Process Data Data Warehouse 235

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.

Designing 130

Designing Data Process Process Data 130

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.

Hadoop 230

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.

Kafka 201

Kafka Scala Coding Data Process 201

Striim

APRIL 22, 2024

Challenges The primary obstacle for Discovery Health was the sheer scale of data across disparate systems and technologies. This complexity led to significant delays in data processing, impacting their ability to make timely decisions and adversely affecting the customer experience. Sign up for a free trial today!

Healthcare 52

Healthcare Insurance Portfolio Banking 52

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?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

APRIL 25, 2024

Big data is a term that refers to the massive volume of data that organizations generate every day. In the past, this data was too large and complex for traditional data processing tools to handle. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

Big Data 64

Big Data Technology NoSQL Hadoop 64

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.

Data Process 52

Data Process Process Hadoop Scala 52

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.

Data Pipeline 197

Data Pipeline Data Designing Data Process 197

Confluent

FEBRUARY 6, 2024

Streamline data processing and unlock analytics to boost productivity and time to market while lowering infrastructure costs. Confluent enables real-time, reliable, scalable, and secure communication between IoT devices, applications, and backend systems.

Building 116

Building Data Data Process Systems 116

Confluent

MARCH 19, 2024

Confluent Cloud's serverless Flink offering is now available on all major clouds, offering a unified, managed platform for real-time data processing.

Cloud 93

Cloud Data Process Process Management 93

Data Engineering Weekly

MAY 16, 2023

Architectural Patterns for Data Quality Now we understand the trade-off between speed & correctness and the difference between data testing and observability. Let’s talk about the data processing types. Two-Phase WAP The Two-Phase WAP, as the name suggests, follows two copy processes.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! Let’s dive in! To solve these problems, we came up with Psyberg!

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. Stay tuned for a new post on this!

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

Waitingforcode

FEBRUARY 16, 2023

I like writing code and each time there is a data processing job to write with some business logic I'm very happy. However, with time I've learned to appreciate the Open Source contributions enhancing my daily work. Mack library, the topic of this blog post, is one of those projects discovered recently.

Coding 130

Coding Data Process Project Process 130

KDnuggets

JANUARY 20, 2023

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

Python 160

Python Programming Machine Learning Data Process 160

Knowledge Hut

APRIL 23, 2024

Early Challenges and Limitations in Data Handling The history of data management in big data can be traced back to manual data processing—the earliest form of data processing, which makes data handling quite painful.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Precisely

FEBRUARY 29, 2024

This “clean” analysis can then be used to reengineer the process for automation. Challenges specific to SAP master data processes Drilling down into SAP master data processes gives us a more granular sense of the challenges companies face around core data creation and management.

IT 59

IT Process Data Collection Data Process 59