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

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. These platforms provide out of the box big data tools and also help in managing deployments.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

JANUARY 19, 2022

Data Engineer: Job Growth in Future What do Data Engineers do? Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

NOVEMBER 24, 2021

” Are you a data science enthusiast who believes data science is hard and keeps thinking about such questions? First, we will present you with interesting facts about data science to justify the hype around the exciting domain of data science. Table of Contents Is Data Science Hard to learn?

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

ProjectPro

APRIL 1, 2016

(Source: [link] ) MapR’s James Casaletto is set to counsel about the various Hadoop technologies in the upcoming Data Summit at NYC. Dbta.com Hadoop currently has over a 100 open source projects running on the ecosystem. Source: [link] ) Commvault Software, is enabling big data environments in Hadoop, Greenplum and GPFS.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. The use of data has risen significantly in recent years.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

SEPTEMBER 25, 2023

Languages : Prior to obtaining a related certificate, it's crucial to have at least a basic understanding of SQL since it is the most often used language in data analytics. Python is useful for various data analytics positions. Popular In-Demand Data Analyst Certifications 1.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

JULY 8, 2021

Durability: Data present on the Kafka cluster is allowed to remain persistent more on the cluster than on the disk. This ensures that Kafka’s data remains durable. Ability to handle real-time data: Kafka supports real-time data handling and is an excellent choice when data has to be processed in real-time.

Kafka 40

Kafka Architecture IT Big Data 40

ProjectPro

AUGUST 11, 2021

Metadata contains information such as the source of data, how to access the data, users who may require the data and information about the data mart schema. Data lakes support data with various formats and unknown schemas like flat files, weblogs and other structures.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. How is memory managed in Python?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JANUARY 31, 2023

Veracity: Veracity relates to the accuracy of the analyzed data. It refers to how reliable the data is or, to put it another way, the quality of the data analyzed. Visualization: Visualization refers to the presentation of data to the management for decision-making purposes. How to deploy a Big Data Model?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

APRIL 11, 2016

At your next Hadoop interview, you might be asked typical hadoop interview questions like “What kind of Hadoop project have you worked on in your previous job?” ” or “What are the various big data tools in the Hadoop stack that you have worked with?”- How will you do that using Hadoop?

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

NOVEMBER 22, 2021

Python has a large library set, which is why the vast majority of data scientists and analytics specialists use it at a high level. If you are interested in landing a big data or Data Science job, mastering PySpark as a big data tool is necessary. Is PySpark a Big Data tool?

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

FEBRUARY 24, 2016

Unlike other kinds of data specialists who specialize in a specific task (such as data engineers and data analysts ), data scientists tackle the end-to-end lifecycle of a data science project right from data acquisition to model optimization to communicating insights to stakeholders.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

APRIL 15, 2016

Run the data through a series of business transformations (these transformations are internally converted to MapReduce task, so the developers don’t have to write the Java code for the business logic). Store the results in a file or present them on the interface. A pig script can have multiple describes.

Hadoop 40

Hadoop Java Big Data SQL 40

ProjectPro

JUNE 29, 2021

Even if a node fails and they are lost on one node due to program error, machine error, or even due to software upgrades, then there is a replica present on another node that can be recovered. Kafka can be said to be multi-tenant as it allows for configuring different topics for which data can be consumed or produced on the same cluster.

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

AUGUST 6, 2015

According to IDC, the amount of data will increase by 20 times - between 2010 and 2020, with 77% of the data relevant to organizations being unstructured. 81% of the organizations say that Big Data is a top 5 IT priority. The airline identifies such negative tweets and forwards to their support team.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

AUGUST 21, 2015

Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. Speed Writes are Fast Reads are Fast Master Big Data with Real-World Hadoop Projects 2. What do the four V’s of Big Data denote?

Hadoop 40

Hadoop Big Data Metadata Java 40