Rockset

AUGUST 11, 2020

I was simply stunned that Facebook’s technology had the ‘magic’ to connect me to three people who were my cricket-teammates when I was in elementary school. Facebook’s ‘magic’, then, was powered by the ability to process large amounts of information on a new system called Hadoop and the ability to do batch-analytics on it.

Hadoop 52

Hadoop Banking Datasets Analytics Application 52

ProjectPro

JANUARY 31, 2023

Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Big data analytics analyzes structured and unstructured data to generate meaningful insights based on changing market trends, hidden patterns, and correlations. How is Hadoop related to Big Data?

Big Data 52

Big Data Hadoop Relational Database AWS 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? Its scale in terms of customers, its scale in terms of products and its scale in terms of technology.”-said

Big Data 52

Big Data Data Analysis Hadoop Retail 52

AltexSoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. This impressive statistic comes from a 2014 benchmark test where Spark significantly improved performance over Hadoop MapReduce.

Big Data 52

Big Data Data Process Process Hadoop 52

Rockset

MAY 17, 2022

And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. Hive implemented an SQL layer on Hadoop’s native MapReduce programming paradigm. Most analytical queries need this ability to join multiple data sources at query time.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Rockset

MARCH 10, 2022

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. One of the technologies I founded was open source RocksDB , the high-performance key-value engine used by MySQL, Apache Kafka and CockroachDB.

Data Analytics 52

Data Analytics Data Warehouse MySQL Medical 52

ProjectPro

MAY 20, 2015

According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016. Another research report by IDC predicts 27% compound annual growth rate for big data services and technologies by end of 2017 which equals 6 times the CAGR of the IT market as a whole.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

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. Let us understand how SQL works efficiently with ETL workflows and big data technologies. Now, let us take a deep dive into why one should learn SQL engineering.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Cloudera

APRIL 2, 2019

Apache HBase® is one of many analytics applications that benefit from the capabilities of Intel Optane DC persistent memory. HBase is a distributed, scalable NoSQL database that enterprises use to power applications that need random, real time read/write access to semi-structured data.

NoSQL 48

NoSQL Google Cloud Hadoop Machine Learning 48

ProjectPro

SEPTEMBER 6, 2021

Cloud Technology has risen in the latter half of the past decade. Amazon and Google are the big bulls in cloud technology, and the battle between AWS and GCP has been raging on for a while. The Google trends graph above shows how the two technologies have increased over the years, with AWS maintaining a significant margin over GCP.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

JUNE 30, 2023

It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. With helpful illustrations and thorough explanations, it assists readers in comprehending how to use Spark for big data processing and analytics applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

MAY 16, 2018

To respond to their respective business, operational, and regulatory requirements in a complex and competitive marketplace , each group needs its own set of subject matter expertise and best of breed technology platforms.

Data Lake 42

Data Lake Electronics Media Unstructured Data 42

ProjectPro

JULY 15, 2021

Cloud computing is the technology that provides on-demand computing resources or hosted services to the end-users over the networking channel, which is usually the Internet. These resources and services can include databases, software applications, networks, servers, and others. What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. The Apache Hadoop open source big data project ecosystem with tools such as Pig, Impala, Hive, Spark, Kafka Oozie, and HDFS can be used for storage and processing.

Big Data 52

Big Data Coding Project Hadoop 52