ProjectPro

OCTOBER 31, 2016

Having complete diverse big data hadoop projects at ProjectPro, most of the students often have these questions in mind – “How to prepare for a Hadoop job interview?” ” “Where can I find real-time or scenario-based hadoop interview questions and answers for experienced?” were excluded.).

Hadoop 52

Hadoop Big Data Utilities NoSQL 52

Knowledge Hut

JANUARY 22, 2024

Here is an overview of the key pros and cons: Online Courses Offer significant flexibility - you can access course materials at any time from anywhere at your own pace. Allow access to a global pool of instructors and peers. Provide access to campus facilities and resources like labs, libraries, and career centers.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

JUNE 17, 2016

” We hope that this blog post will solve all your queries related to crafting a winning LinkedIn profile. You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. that are usually not present in a resume.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

MAY 19, 2015

It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Intellipaat Big Data Hadoop Certification Introduction : This Big Data training course helps you master big data and Hadoop skills like MapReduce, Hive, Sqoop, etc.

Big Data 52

Big Data Certification Hadoop Scala 52

AltexSoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

FEBRUARY 16, 2023

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. Making data accessible for querying is a common task for data engineers.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Rockset

AUGUST 11, 2022

Our esteemed roundtable included leading practitioners, thought leaders and educators in the space, including: Ben Rogojan , aka Seattle Data Guy , is a data engineering and data science consultant (now based in the Rocky Mountain city of Denver) with a popular YouTube channel , Medium blog , and newsletter.

Bytes 52

Bytes Consulting Kafka MongoDB 52

ProjectPro

JANUARY 19, 2022

Making raw data more readable and accessible falls under the umbrella of a data engineer’s responsibilities. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization What do Data Engineers do? Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

MARCH 10, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. Analytical queries could be accelerated by caching heavily-accessed read-only data in RAM or SSDs.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

Rockset

JANUARY 23, 2020

The new databases that have emerged during this time have adopted names such as NoSQL and NewSQL, emphasizing that good old SQL databases fell short when it came to meeting the new demands. Providing Fast Storage with RocksDB RocksDB is a library that solves the problem of abstracting access to local stable storage. trillion euros.

Database 40

Database MySQL Kafka NoSQL 40

Knowledge Hut

DECEMBER 26, 2023

These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data. Evaluating business needs and objectives The basic responsibility of a Data Engineer is to build algorithms and data pipelines so that everyone in the organization can have access to raw data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JULY 12, 2021

This blog will take you through a relatively new career title in the data industry — AI Engineer. A data engineer is expected to be adept at using ETL (Extract, Transform and Load) tools and be able to work with both SQL and NoSQL databases. You can consider many other high-paying career options as a data enthusiast.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

ProjectPro

MARCH 23, 2016

And so spawned from this research paper, the big data legend - Hadoop and its capabilities for processing enormous amount of data. Same is the story, of the elephant in the big data room- “Hadoop” Surprised? Yes, Doug Cutting named Hadoop framework after his son’s tiny toy elephant. Why use Hadoop?

Hadoop 40

Hadoop IT Big Data Retail 40

AltexSoft

MAY 14, 2021

Based on the complexity of data, it can be moved to the storages such as cloud data warehouses or data lakes from where business intelligence tools can access it when needed. Text mining is an advanced analytical approach used to make sense of Big Data that comes in textual forms such as emails, tweets, researches, and blog posts.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. How is Hadoop related to Big Data?

Big Data 52

Big Data Hadoop AWS Relational Database 52

U-Next

AUGUST 17, 2022

Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility. NoSQL – This alternative kind of data storage and processing is gaining popularity. Companies and enterprises, large and small, are built on data.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and. Kafka vs Hadoop.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JANUARY 24, 2023

This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. This blog presents a detailed overview of Google BigQuery and its architecture. Search no more! Did you know ? What’s more?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”. Data access.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

Confluent

MAY 21, 2019

However, this bit of business logic really isn’t very relevant to the job of a service that provides simple access to the profile database, and it really shouldn’t be their responsibility. There are databases, document stores, data files, NoSQL and ETL processes involved. Real-world architectures involve more than just microservices.

Kafka 110

Kafka Insurance Architecture Database 110

ProjectPro

AUGUST 24, 2016

In spite of a few rough edges, HBase has become a shining sensation within the white hot Hadoop market. The NOSQL column oriented database has experienced incredible popularity in the last few years. However, Hadoop cannot handle high velocity of random writes and reads and also cannot change a file without completely rewriting it.

Architecture 40

Architecture IT Hadoop NoSQL 40

Cloudera

APRIL 2, 2019

HBase is a distributed, scalable NoSQL database that enterprises use to power applications that need random, real time read/write access to semi-structured data. From a technical perspective, the data read from the Hadoop Distributed File System is cached in HBase’s BucketCache.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? In 2012, Walmart made a move from the experiential 10 node Hadoop cluster to a 250 node Hadoop cluster.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role! A user only pays for the resources he needs from a cloud service provider and accesses them over a secure Internet connection.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

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. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JULY 6, 2016

This article will give you a sneak peek into the commonly asked HBase interview questions and answers during Hadoop job interviews. But at that moment, you cannot remember, and then blame yourself mentally for not preparing thoroughly for your Hadoop Job interview. HBase provides real-time read or write access to data in HDFS.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

ProjectPro

NOVEMBER 15, 2021

When any particular project is open-sourced, it makes the source code accessible to anyone. This blog will walk through the most popular and fascinating open source big data projects. To contribute, proceed to: [link] Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 6.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. under varying load conditions as well as a wide variety of access patterns; (b) scalability?—?persisting This makes multi-tenancy as well as access control of data important problems to solve.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

SEPTEMBER 6, 2021

AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. Learn the A-Z of Big Data with Hadoop with the help of industry-level end-to-end solved Hadoop projects. AWS IAM vs. GCP IAM When it comes to cloud security, IAM (Identity and Access Management) is crucial. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

U-Next

AUGUST 10, 2022

NoSQL databases are non-tabular, so they can be either a network or a record based on their data structure. Numerous NoSQL databases are used today, including MongoDB, Cassandra, and Ruby. For storing and processing massive volumes of data utilizing a computer network, Hadoop is a well-liked Data Engineering platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

Rockset

APRIL 15, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Just imagine the overhead and confusion for an application developer when accessing the latest version of a record. This ensures that queries access the latest, correct version of data.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52