Data Science Blog: Data Engineering

JULY 4, 2022

Introduction Spark’s aim is to create a new framework that was optimized for quick iterative processing, such as machine learning and interactive data analysis while retaining Hadoop MapReduce’s scalability and fault-tolerant. Spark could indeed run by itself, on Apache Mesos, or on Apache Hadoop, which is the most common.

Hadoop 52

Hadoop Big Data Datasets Scala 52

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Kafka is designed to handle numerous clients from both sides.

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Kafka Hadoop ETL Tools Big Data 93

Rockset

MAY 17, 2022

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. The design goal was low latency and scale.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Towards Data Science

APRIL 26, 2023

Photo by László Glatz on Unsplash In this post we will show how to build a simple end-to-end application in the cloud on a serverless infrastructure. The purpose is simple: we want to show that we can develop directly against the cloud while minimizing the cognitive overhead of designing and building infrastructure.

Engineering 67

Engineering Data Lake AWS BI 67

Rockset

JULY 6, 2022

This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. After much internal debate, our team agreed to store every user event in Hadoop using a timestamp in a column named time_spent that had a resolution of a second.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

ProjectPro

JANUARY 31, 2023

HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

SEPTEMBER 1, 2020

It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e.

Cloud Storage 68

Cloud Storage Unstructured Data AWS Analytics Application 68

Rockset

MARCH 10, 2022

This is the first post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. Successful data-driven companies like Uber, Facebook and Amazon rely on real-time analytics.

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Data Analytics Data Warehouse Medical MySQL 52

Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. Data engineers are experts who specialize in the design and execution of data systems and infrastructure. Who are Data Engineers?

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Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

FEBRUARY 16, 2023

Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. Data engineers use SQL to modify any database and table structure and extract subsets of the data from the database for various business analytics use cases.

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Data Engineering Data Engineer SQL Engineering 52

Cloudera

NOVEMBER 8, 2022

These could be traditional analytics applications like Spark, Impala, or Hive, or custom applications that access a cloud object store natively. Since Ozone supports both Hadoop FileSystem interface and Amazon S3 interface, frameworks like Apache Spark, YARN, Hive, and Impala can automatically use Ozone to store data.

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Metadata Algorithm Hadoop Cloud 82

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data 52

Big Data Coding Project Hadoop 52

Cloudera

APRIL 2, 2019

Intel Optane DC persistent memory was designed with ease of adoption in mind and therefore can be configured in two different operating modes : 1. Apache HBase® is one of many analytics applications that benefit from the capabilities of Intel Optane DC persistent memory. memory mode, and 2. app direct mode.

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NoSQL Google Cloud Hadoop Machine Learning 47

ProjectPro

SEPTEMBER 6, 2021

Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. Memory Optimised - It is designed for memory-intensive tasks, providing up to 12TB of memory per core. AWS: Typically, AWS provides different EC2 instances similar to the list above.

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AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? In 2012, Walmart made a move from the experiential 10 node Hadoop cluster to a 250 node Hadoop cluster.

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Big Data Data Analysis Hadoop Retail 52

ProjectPro

JULY 15, 2021

10+ Real-Time Azure Project Ideas for Beginners to Practice [2021] Android Offloading Computing Over Cloud The goal of this project is to prevent automated offloading used by the application developers. Many application developers prefer to have access to such an application to design better mobile and web apps using the Android framework.

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Cloud Computing Cloud Project Banking 40