ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Apache Kafka and RabbitMQ are messaging systems used in distributed computing to handle big data streams– read, write, processing, etc.

Kafka 52

Kafka Big Data Java Architecture 52

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. This discipline also integrates specialization around the operation of so called “big data” distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. I wasn’t promoted or assigned to this new role.

Data Engineer 130

Data Engineer Data Engineering Engineering ETL Tools 130

ProjectPro

APRIL 14, 2015

According to Juniper Research, the market for dating through mobile apps is expected to rise from $1 billion in 2011 to $2.3 Juniper Research estimates that due to the excessive use of mobile phone apps, the online dating market is all set to rise from $1 billion in 2011 to $2.3 billion by 2016. billion in 2016.

Big Data 52

Big Data Data Analysis Algorithm Hadoop 52

Zalando Engineering

JUNE 6, 2016

A 2011 McKinsey Global Institute report revealed that nearly all sectors in the US economy had at least 200 terabytes of stored data per company, thus the need for specialised engineers to solve Big Data problems was conceded.

Big Data 40

Big Data Programming Language MongoDB NoSQL 40

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

Monte Carlo

JUNE 14, 2023

Data pipeline architecture is the process of designing how data is surfaced from its source system to the consumption layer. This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed).

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

ProjectPro

JANUARY 24, 2023

Since its public release in 2011, BigQuery has been marketed as a unique analytics cloud data warehouse tool that requires no virtual machines or hardware resources. Borg, Google's large-scale cluster management system, distributes computing resources for the Dremel tasks. The equality operators equal (=), not equal (!=

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

MAY 13, 2015

MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 According to Dice, the number of NoSQL jobs for people experienced with unstructured database systems like MongoDB has increased by 54% over last year. A recent survey conducted by Dice estimates that salaries for employees who use Hadoop and NoSQL are more than $100,000.This

NoSQL 40

NoSQL MongoDB Certification Database 40

Confluent

SEPTEMBER 25, 2019

In 2011, Marc Andressen wrote an article called Why Software is Eating the World. This led to all types of ad hoc solutions built up around databases, including integration layers, ETL products, messaging systems, and lots and lots of special-purpose glue code that is the hallmark of large-scale software integration.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

ProjectPro

JUNE 29, 2021

Apache Kafka and Flume are distributed data systems, but there is a certain difference between Kafka and Flume in terms of features, scalability, etc. Specifically designed for Hadoop. For a system to support multi-tenancy, the level of logical isolation must be complete, but the level of physical integration may vary.

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. ” Interesting? 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 52

Knowledge Hut

DECEMBER 13, 2023

The company was established in 2011, and as of right now, they employ about 250 people. HData Systems At HData Systems, we develop unique data analysis tools that break down massive data and turn it into knowledge that is useful to your company. They work with companies including Cisco, Intel, Paypal, American Express, and more.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

ProjectPro

MARCH 14, 2014

Big Data analysis will be about building systems around the data that is generated. This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills. Studies show, that by 2020, 80% of all Fortune 500 companies will have adopted Hadoop.

Hadoop 40

Hadoop Big Data Data Mining Retail 40