Knowledge Hut

NOVEMBER 28, 2023

NoSQL If you think that Hadoop doesn't matter as you have moved to the cloud, you must think again. Big resources still manage file data hierarchically using Hadoop's open-source ecosystem. They are required to work on the following: ETL tools and pipelines and Big data using tools such as Hadoop, Kafka, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

APRIL 25, 2023

Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

DECEMBER 13, 2023

The Vertica Analytics Platform provides the fastest query processing on SQL Analytics, and Hadoop is built to manage a huge volume of structured data. With the aid of Hadoop, SAPC assists the company in converting a sizable amount of Big Data into actionable insight. Amazon Amazon is among the top big data companies of 2023.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. Here are top 6 big data analytics vendors that are serving Hadoop needs of various big data companies by providing commercial support. The Global Hadoop Market is anticipated to reach $8.74 billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. Grasping of Market situations: Analyzing big data helps businesses to understand the market situation, like a product/service in demand, customer behavior and others.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

MARCH 20, 2024

To ensure that the data is reliable, consistent, and easily accessible, data engineers work with various data storage platforms, such as relational databases, NoSQL databases, and data warehouses. Data engineers must know about big data technologies like Hive, Spark, and Hadoop.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

JANUARY 19, 2022

Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. The three most popular cloud service providing platforms are Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

SEPTEMBER 26, 2021

You must have good knowledge of the SQL and NoSQL database systems. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. Let’s get started! Launched in 2006.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

JULY 30, 2021

Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Amazon’s counterpart of this is called Amazon EMR ( Elastic Map-Reduce) Hadoop - Hadoop allows clustering of hardware to analyse large sets of data in parallel. What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

JUNE 20, 2023

Apache Spark, Microsoft Azure, Amazon Web services, etc. You should be skilled in SQL and knowledgeable about NoSQL databases like Cassandra, MongoDB, and HBase. Data Integration: Your ability to combine data from many sources, including file systems, online services, and APIs, is essential.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

MARCH 16, 2015

Need of Hadoop in Healthcare Data Solutions Charles Boicey an Information Solutions Architect at UCI says that “Hadoop is the only technology that allows healthcare to store data in its native form. Now we can bring everything into Hadoop , regardless of data format or speed of ingest. We leave no data behind.”

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

DECEMBER 10, 2021

It is a cloud-based NoSQL database that deals mainly with modern app development. Azure Table Storage- Azure Tables is a NoSQL database for storing structured data without a schema. It lets you store organized NoSQL data in the cloud and provides a schemaless key/attribute storage. What is Azure CosmosDB?

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

AUGUST 9, 2018

Features Amazon RDS Redshift Dynamo DB Computing Resources Instances with 64 vCPU and 244 GB RAM Nodes with vCPU and 244 GB RAM Not specified, SaaS-Software as a Service. An organization wants to deploy a two-tier web application on AWS. Which instance will you use for deploying a 4-node Hadoop cluster in AWS?

AWS 40

AWS Amazon Web Services Cloud Computing Database 40