ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Knowledge Hut

MARCH 27, 2024

Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses. Some important big data processing platforms are: Microsoft Azure. Why Is Big Data Analytics Important? Let's check some of the best big data analytics tools and free big data analytics tools.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

U-Next

SEPTEMBER 9, 2022

Nutch concentrated on the web crawler component, whereas Hadoop handled distributed computation and processing. In 2008, two years after Cutting joined Yahoo, the company published Hadoop open source project. How Hadoop is related to Big Data . Big data can be processed through other applications to process huge data.

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

U-Next

AUGUST 25, 2022

Did you know that Wes McKinney developed Python Pandas in 2008 and used it for Py data gathering? Python could prepare data before Pandas compiler but only offered a basic platform for data analytics. Pandas entered the scene and improved data analysis abilities. Users may accelerate their productivity with NumPy.

Deep Learning 40

Deep Learning Python Programming Language Data Science 40

ProjectPro

FEBRUARY 10, 2016

Hadoop became a top level Apache project in 2008 and also won the Terabyte Sort Benchmark. Yahoo’s Hadoop cluster broke the previous terabyte sort benchmark record of 297 seconds for processing 1 TB of data by sorting 1 TB of data in 209 seconds - in July 2008.

Hadoop 40

Hadoop Big Data Programming SQL 40

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. But not long after Google launched GCP in 2008, it began gaining market traction. Google Cloud Functions support only Node.js, while AWS Lambda functions support many languages, including Java, C, python, etc. Launched in 2008.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

APRIL 27, 2016

As MapReduce can run on low cost commodity hardware-it reduces the overall cost of a computing cluster but coding MapReduce jobs is not easy and requires the users to have knowledge of Java programming. To perform simple tasks like getting the average value or the count-users had to write complex Java based MapReduce programs.

Hadoop 40

Hadoop Big Data Technology Big Data Tools 40