Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Here are the different job opportunities in the field of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Cloudera

SEPTEMBER 7, 2022

As I look forward to the next decade of transformation, I see that innovating in open source will accelerate along three dimensions — project, architectural, and system. This represents the next step in the industrialization of open source innovation for data management and data analytics. . Project-level innovation.

Big Data Ecosystem 107

Big Data Ecosystem Hadoop Big Data Architecture 107

ProjectPro

NOVEMBER 11, 2014

Confused over which framework to choose for big data processing - Hadoop MapReduce vs. Apache Spark. This blog helps you understand the critical differences between two popular big data frameworks. Hadoop and Spark are popular apache projects in the big data ecosystem.

Hadoop 40

Hadoop Scala Machine Learning Java 40

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. Over the years, big data has been defined in various ways and there is lots of confusion surrounding the terms big data and hadoop. million comments.12

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

Data Engineering Podcast

JUNE 11, 2021

Summary Google pioneered an impressive number of the architectural underpinnings of the broader big data ecosystem. In this episode Lak Lakshmanan enumerates the variety of services that are available for building your various data processing and analytical systems.

Google Cloud 100

Google Cloud Cloud Big Data Ecosystem BI 100

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? petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

FEBRUARY 8, 2017

Here’s a sneak-peak into what big data leaders and CIO’s predict on the emerging big data trends for 2017. The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

U-Next

SEPTEMBER 23, 2022

Traditional data processing technologies have presented numerous obstacles in analyzing and researching such massive amounts of data. To address these issues, Big Data technologies such as Hadoop were established. These Big Data tools aided in the realization of Big Data applications. .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JUNE 4, 2015

All the components of the Hadoop ecosystem, as explicit entities are evident. All the components of the Hadoop ecosystem, as explicit entities are evident. HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets.

Hadoop 52

Hadoop Architecture IT Java 52