Knowledge Hut

MARCH 27, 2024

14 Most Popular Big Data Analytics Tools Open-source big data analytics tools are intended to be publicly accessible and are typically managed and maintained by organizations with a specific mission. The Hadoop Distributed File System (HDFS) provides quick access. Let’s check some important big data processing tools.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

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

ProjectPro

MARCH 10, 2016

70% of all Hadoop data deployments at LinkedIn employ key-value access using Voldemort. 70% of all Hadoop data deployments at LinkedIn employ key-value access using Voldemort. Decomposer - Contains large matrix decomposition algorithms implemented in Java. Most of LinkedIn’s data is offline and it moves pretty slowly.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

APRIL 8, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Hadoop Vendor distributions overcome the drawbacks and issues with the open source edition of Hadoop. Related Posts How much Java is required to learn Hadoop?

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40