ProjectPro

DECEMBER 7, 2021

This process enables quick data analysis and consistent data quality, crucial for generating quality insights through data analytics or building machine learning models. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

JUNE 7, 2021

As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. Hadoop hides away the complexities of distributed computing, offering an abstracted API to get direct access to the system’s functionality and its benefits — such as. High latency of data access.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JUNE 29, 2016

Having highlighted the demand for open source developers, one cannot ignore what’s trending in the open source technology domain. As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

MARCH 7, 2016

If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

JUNE 30, 2016

Many organizations across these industries have started increasing awareness about the new big data tools and are taking steps to develop the big data talent pool to drive industrialisation of the analytics segment in India. ” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

FEBRUARY 24, 2016

This blog breaks down the data science salary figures for today’s data workforce based on which company they work for, years of experience, specialization of data science tools and technologies, location, and other factors. The salary of a data scientist usually increases in the first few years.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

AUGUST 6, 2015

Table of Contents 5 Big Data Use Cases For Customer Sentiment Analysis For Behavioural Analytics For Customer Segmentation For Predictive Support For Fraud Detection How top Sports companies use Big Data- NFL’s Atlanta Falcons use GPS technology and collect the data to analyse the movement of players during practice sessions.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

SEPTEMBER 26, 2021

Big Data refers to the massive volumes of data which is no longer possible to manage using traditional software applications. Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? This is where the Azure Data Engineer enters the picture. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

AUGUST 11, 2021

They store current and historical data in one place and are used to create analytical reports for workers throughout the enterprise." This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. This data gets retained for possible use in the future.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

JULY 21, 2021

However, if you're here to choose between Kafka vs. RabbitMQ, we would like to tell you this might not be the right question to ask because each of these big data tools excels with its architectural features, and one can make a decision as to which is the best based on the business use case. What is Kafka?

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

JUNE 24, 2021

Here is the list of key technical skills required for analytics job roles which can also be acquired by students or professionals from a non- technical background - SQL : Structured Query Language is required to query data present in databases. Even data that has to be filtered, will have to be stored in an updated location.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

NOVEMBER 30, 2021

Up-to-date knowledge of new technologies and methodologies. Source Code: Customer Churn Prediction Recommended Reading: Is Data Science Hard to Learn? A senior business analyst is often expected to possess knowledge of Big Data tools. Thus, you will find the projects described below rely on these tools.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

JANUARY 31, 2023

The Big data market was worth USD 162.6 Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Big data is a combination of several technologies.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

NOVEMBER 22, 2021

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. Although Spark was originally created in Scala, the Spark Community has published a new tool called PySpark, which allows Python to be used with Spark.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 29, 2021

Kafka Interview Questions Kafka Scenario-based Interview Questions Kafka Interview Questions for Java Developers | Kafka Developer Interview Questions Tricky Kafka Interview Questions Kafka Admin Interview Questions | Kafka Technical Interview Questions Why is Kafka technology significant in the Big Data industry?

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

AUGUST 21, 2015

Hadoop applications have a wide range of technologies that provide a great advantage in solving complex business problems. Data can either be ingested through batch jobs that run every 15 minutes, once every night and so on or through streaming in real-time from 100 ms to 120 seconds. iii)Splittability to be processed in parallel.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

DECEMBER 13, 2023

Additionally, operations managers, call center agents, sales reps, and other frontline personnel can receive real-time information and alerts about issues via applications powered by big data. Big data analytics is carried out with the use of advanced tools. It is an important big data technologies company.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52