AltexSoft

MAY 14, 2021

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. Apache Hadoop. Apache Hadoop is a set of open-source software for storing, processing, and managing Big Data developed by the Apache Software Foundation in 2006.

Big Data 78

Big Data Data Analytics IT NoSQL 78

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

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 Big Data ETL Tools 93

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Rockset

OCTOBER 19, 2018

How We Got to an Open-Source World The last decade has been a bonanza for open-source software in the data world, to which I had front-row seats as a founding member of the Hadoop and RocksDB projects. Many will point to Hadoop, open sourced in 2006, as the technology that made Big Data a thing.

MongoDB 40

MongoDB Hadoop Kafka Data Warehouse 40

Knowledge Hut

APRIL 25, 2023

Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. MongoDB MongoDB is a NoSQL document-oriented database that is widely used by data engineers for building scalable and flexible data-driven applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Rockset

MAY 12, 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! Hadoop was initially used but has since been replaced by Snowflake, Redshift and other databases. For more details, read my blog post on ALT and why it beats the Lambda architecture for real-time analytics.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Database 52

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 Kafka 52

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. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. RDBMS stores structured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Rockset

MAY 17, 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! And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. Hive implemented an SQL layer on Hadoop’s native MapReduce programming paradigm.

SQL 52

SQL NoSQL Hadoop MongoDB 52

U-Next

SEPTEMBER 7, 2022

Atlas Data Lake powered by MongoDB. . In a Data Lake architecture , Apache Hadoop is an example of a data infrastructure that is capable of storing and processing large amounts of structured and unstructured data. . Apache Spark and Hadoop can be used for big data analytics on data lakes. . Gen 2 Azure Data Lake Storage .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

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 Database 40

Knowledge Hut

FEBRUARY 2, 2024

In this blog, I will explain the top 10 job roles you can choose per your interests and outline their salaries. Skills Required HTML, CSS, JavaScript or Python for Backend programming, Databases such as SQL, MongoDB, Git version control, JavaScript frameworks, etc. 10 Best Computer Science Courses To Get a High Paying Job 1.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

Rockset

FEBRUARY 6, 2019

In this blog post, I will describe the Aggregator Leaf Tailer architecture and its advantages for low-latency data processing and analytics. A common implementation would have large batch jobs in Hadoop complemented by an update stream stored in Apache Kafka. We chose ALT for Rockset.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. Deepak regularly shares blog content and similar advice on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 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

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc., For appropriate resources, refer to this blog’s data engineering learning path. and their implementation on the cloud is a must for data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 26, 2023

Popular Big Data tools and technologies that a data engineer has to be familiar with include Hadoop, MongoDB, and Kafka. The above blog has demonstrated a clear path to becoming a data engineer. Data engineers handle vast volumes of data on a regular basis and don't only deal with normal data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

JANUARY 18, 2024

Hadoop Explore Big Data Technologies, including Hadoop, HDFS, and MapReduce, which enable efficient data management and parallel computation across large clusters. NoSQL Databases This blog provides an overview of NoSQL databases, including MongoDB, Cassandra, HBase, and Couchbase.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day. Understand the importance of Qubole in powering up Hadoop and Notebooks. Also, explore other alternatives like Apache Hadoop and Spark RDD.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

DECEMBER 12, 2018

Greg Rahn: Toward the end of that eight-year stint, I saw this thing coming up called Hadoop and an engine called Hive. In the Hadoop world, or the big data world, most of these components are separate and modular, but yet interact together to form a system that behaves very similarly. There’s MongoDB for document stores.

Data Warehouse 42

Data Warehouse Relational Database Hadoop Database 42

Knowledge Hut

NOVEMBER 15, 2023

Having expertise in NodeJS, React, MongoDB, and basic web development applications. I will use my expertise acquired from the Big Data and Hadoop course and certification to process and analyze the data, and to identify trends and patterns. Wish to gain expertise by working on various platforms and arise as a champion Web Developer.

Finance 98

Finance Certification Database-centric Business Intelligence 98

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 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 Data Storage 52

ProjectPro

JULY 23, 2021

This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop. The tech stack for this machine learning project includes Apache Spark, MongoDB, AWS - EC2, EMR, and Java.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

U-Next

AUGUST 10, 2022

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. NoSQL databases are non-tabular, so they can be either a network or a record based on their data structure.

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! Companies also began to embrace change data capture (CDC) in order to stream updates from operational databases — think Oracle , MongoDB or Amazon DynamoDB — into their data warehouses.

Analytics Application 52

Analytics Application Data Warehouse Kafka Database 52

U-Next

AUGUST 3, 2022

Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. That’s why our blog focuses on Data Scientist roles and responsibilities in India. The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data.

Data Science 52

Data Science Computer Science Retail Entertainment 52