Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Hadoop can store data and run applications on cost-effective hardware clusters.

Hadoop 52

Hadoop Project Datasets Big Data 52

Pinterest Engineering

SEPTEMBER 12, 2023

Behind the scenes, hundreds of ML engineers iteratively improve a wide range of recommendation engines that power Pinterest, processing petabytes of data and training thousands of models using hundreds of GPUs. transformers) became standardized, ML engineers started to show a growing appetite to iterate on datasets.

Data Process 88

Data Process Process Datasets Scala 88

Cloudyard

APRIL 4, 2024

However, the volume of daily transaction data poses challenges in effectively segmenting customers and optimizing engagement. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights.

Retail 40

Retail Data Ingestion Metadata Datasets 40

Knowledge Hut

APRIL 23, 2024

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. Big data offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Netflix Tech

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Elasticsearch version upgrade which includes backward incompatible changes, so all the assets data is read from the primary source of truth and reindexed again in the new indices.

Management 94

Management Kafka Metadata Media 94

Databand.ai

JULY 17, 2023

DataOps , short for Data Operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data management processes. It aims to streamline the entire data lifecycle—from ingestion and preparation to analytics and reporting.

Data Pipeline 52

Data Pipeline Machine Learning High Quality Data BI 52

LinkedIn Engineering

JANUARY 19, 2024

This multi-entity handover process involves huge amounts of data updating and cloning. 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. Push for eventual success of the request.

Recruitment 88

Recruitment Data Process Process Kafka 88

Cloudera

AUGUST 26, 2021

In addition to big data workloads, Ozone is also fully integrated with authorization and data governance providers namely Apache Ranger & Apache Atlas in the CDP stack. While we walk through the steps one by one from data ingestion to analysis, we will also demonstrate how Ozone can serve as an ‘S3’ compatible object store.

Data Science 109

Data Science Cloud Hadoop Metadata 109

Cloudera

JUNE 26, 2023

It can provide a complete solution for data exploration, data analysis, data visualization, viz applications, and model deployment at scale. Impala works best for analytical performance with properly designed datasets (well-partitioned, compacted). Visit our Data and IT Leaders page to learn more.

ETL Tools 75

ETL Tools Programming Language Datasets Data Pipeline 75

DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Databricks was all green.

Pharmaceutical 46

Pharmaceutical Data Data Analytics Datasets 46

Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. Your data should possess the maximum available information to perform meaningful analysis. What is a Data Science Dataset?

Datasets 96

Datasets Data Science Project Banking 96

Knowledge Hut

OCTOBER 26, 2023

In the world of machine learning, where data-driven solutions have the power to transform industries and empower individuals, if you're new to this exciting field and eager to embark on your machine-learning journey, you're in the right place. It helps you perform automated data visualization.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Databand.ai

JULY 5, 2023

Low-quality data can result in incorrect insights and decision-making, ultimately impacting business outcomes. Data observability tools allow teams to detect issues such as missing values, duplicate records, or inconsistent formats early on before they affect downstream processes.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Knowledge Hut

MARCH 26, 2024

On the other hand, AI, compared to human intelligence, is a product of human-designed algorithms, computational power, and data processing capabilities. In this blog post, I will give you a detailed comparative analysis of AI vs HI. What is AI? What is Human Intelligence?

Algorithm 52

Algorithm Deep Learning Education Datasets 52

Data Engineering Weekly

JUNE 18, 2023

The blog narrates LLM training options, Storage & retrieval, and the value chain to use LLM in your private data. The optimization around prefetching data with a separate thread, the decision not to support complex data types, and the complexity around Avro’s sequential block read are informative to know more about Avro.

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Data Science Blog: Data Engineering

JULY 4, 2022

Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009. Begin with a small sample of the data.

Hadoop 52

Hadoop Big Data Datasets Scala 52

Knowledge Hut

OCTOBER 26, 2023

In this blog, we will show some interesting AWS project ideas for all professionals, including beginners, intermediate, and advanced. blog) easily using any of your preferred CMS. You can use AWS SES (Simple Email Service) to send emails and AWS SNS (Simple Notification Service) to trigger the email-sending process.

AWS 52

AWS Coding Project Cloud Computing 52

Datakin

SEPTEMBER 24, 2021

Blog Datakin is now open to all! We believed then, and still believe now, that a new approach to data lineage was essential to support today’s pipelines. By observing the data transformations within various pipelines in real time, we surface up to date information about datasets and the logic processing them.

PostgreSQL 52

PostgreSQL Datasets Data Pipeline Data Process 52

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

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. Lambda usage includes real-time data processing, communication with IoT devices, and execution of automated tasks. ECS is mostly used in microservices architecture , batch processing, and CI/CD pipelines. What is AWS?

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Databand.ai

AUGUST 30, 2023

7 Data Testing Methods, Why You Need Them & When to Use Them Helen Soloveichik August 30, 2023 What Is Data Testing? Data testing involves the verification and validation of datasets to confirm they adhere to specific requirements. This is part of a series of articles about data quality.

Data Validation 52

Data Validation Data Integration Data Database 52

ProjectPro

FEBRUARY 21, 2023

Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations. The next evolutionary shift in the data processing environment will be brought about by Spark due to its exceptional batch and streaming capabilities.

Scala 52

Scala Programming Language Java Hadoop 52

ProjectPro

FEBRUARY 6, 2023

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 52

Google Cloud Cloud Cloud Storage Data Ingestion 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

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. AvroTensorDataset speeds up data preprocessing by multiple orders of magnitude, enabling us to keep site content as fresh as possible for our members. avro", "part-00001.avro"],

Datasets 102

Datasets Bytes Process Data Ingestion 102

ProjectPro

FEBRUARY 16, 2023

Apache Spark is an open-source, distributed computing system for big data processing and analytics. It has become a popular big data and machine learning analytics engine. Spark is used by some of the world's largest and fastest-growing firms to analyze data and allow downstream analytics and machine learning.

Big Data 52

Big Data Scala Machine Learning Hadoop 52

Workfall

JULY 4, 2023

Each successful deployment enriches its data ecosystem, empowering decision-makers with valuable, up-to-date insights. DBT has become the stuff of legends, passed down through generations of data engineers, forever celebrated for its role in creating a world of data excellence.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Cloudera

FEBRUARY 8, 2023

How Bad is Bad Code: The ROI of Fixing Broken Spark Code Once in a while I stumble upon Spark code that looks like it has been written by a Java developer and it never fails to make me wince because it is a missed opportunity to write elegant and efficient code: it is verbose, difficult to read, and full of distributed processing anti-patterns.

Java 57

Java Datasets Coding Python 57

Cloudera

MARCH 28, 2023

Today’s healthcare is driven as much by the promise of emerging technologies centered on data processing and advanced analytics as by developing new and specialized drugs. This can be a tedious process open to interpretive or perception errors. Indiana Ave.

Healthcare 65

Healthcare Electronics Food Machine Learning 65

DareData

JULY 5, 2023

In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. To overcome this challenge, many companies are turning to Data Lake solutions, which provide a centralized and scalable platform for storing, processing, and analyzing data.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Striim

NOVEMBER 8, 2023

What are the four principles of a Data Mesh, and what problems do they solve? A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. Data as a product This principle can be summarized as applying product thinking to data.

Architecture 52

Architecture Generalist Government Datasets 52

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Data Collection Challenge.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

Data Engineering Weekly

MARCH 26, 2023

link] NYT: Day in the Life of a Senior Analyst in the Data and Insights Group NYT publishes an article on data in the life of a senior analyst. The blog highlights that the job is not just writing SQL but providing a strategic business solution for an organization.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

DataKitchen

OCTOBER 2, 2023

Data Journeys track and monitor all levels of the data stack, from data to tools to code to tests across all critical dimensions. A Data Journey supplies real-time statuses and alerts on start times, processing durations, test results, and infrastructure events, among other metrics.

Data Ingestion 40

Data Ingestion Data Government Datasets 40