AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

NOVEMBER 19, 2023

As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. In this article, I have highlighted a handful of the popular Azure data engineering tools and services. What Are Azure Data Engineer Tools? Please browse through them.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

MARCH 20, 2024

Technology is advancing so quickly that there will always be chances in tech industries like software engineering for employment and financial gain. There are always positions available for software engineers who perform various duties and responsibilities in multiple businesses. Who is a Software Engineer?

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Edureka

FEBRUARY 7, 2023

If you want to become a data engineer, you should prepare for the interview process. To help you get a head start on your preparation, I’ve compiled a list of the Top 30+ Azure Data Engineer Interview Questions. When it comes to professionals, data engineers are the most in-demand in the IT industry. 4) What is Polybase?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

U-Next

SEPTEMBER 9, 2022

Introduction . “Hadoop” is an acronym that stands for High Availability Distributed Object Oriented Platform. That is precisely what Hadoop technology provides developers with high availability through the parallel distribution of object-oriented tasks. What is Hadoop in Big Data? . When was Hadoop invented?

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. Contents: Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze. What does a data engineer do?

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Rockset

JULY 6, 2022

Typically stored in SQL statements, the schema also defines all the tables in the database and their relationship to each other. Incoming data that does not match the predefined attributes or data types is automatically rejected by the database, with a null value stored in its place or the entire record skipped completely.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

U-Next

AUGUST 10, 2022

IT jobs, as you know, are bagging the fattest pay cheques lately, and the same holds for the Data Engineer role. The idea of a Data Engineer is now relevant. What does a Data Engineer do? Fundamental Duties of a Data Engineers. Enhance Skills: Data Engineers don’t only depend on abstract database theories.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure? Cloudera or Databricks?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Cassandra A database built by the Apache Foundation.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

Certification 52

Certification Data Engineering Data Engineer Engineering 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. Why is Data Engineering In Demand?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Grouparoo

OCTOBER 6, 2021

It was a fun experience and I think we made a good choice by picking 97 Things Every Data Engineer Should Know. This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. Be adaptable.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

ProjectPro

MAY 2, 2017

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. Hortonworks unveiled this use case of SQL through Apache Hive 2.0

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52

Knowledge Hut

SEPTEMBER 29, 2023

This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do? Moreover, what benefits can you expect from a career in Azure Data Engineering? Join us on this journey through the exciting realm of Azure Data Engineering.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

AUGUST 2, 2023

SQL Structured Query Language, or SQL, is used to manage and work with relational databases. Data scientists use SQL to query, update, and manipulate data. Data scientists use SQL to query, update, and manipulate data. Knowing SQL can help data scientists efficiently extract the data needed for analysis.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Snowflake

MARCH 29, 2023

As part of the latest Iceberg release, we’ve added catalog support to the Iceberg project to ensure that engines outside of Snowflake can interoperate with Iceberg Tables. A key benefit of open table formats, such as Apache Iceberg, is the ability to use multiple compute engines over a single copy of the data. What is a catalog?

Metadata 97

Metadata Scala Hadoop Relational Database 97

ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Big Data Tools

OCTOBER 5, 2021

As data engineers, let’s follow their lead and learn something new, too! News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. Here’s what’s happening in data engineering right now. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

As data engineers, let’s follow their lead and learn something new, too! News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. Here’s what’s happening in data engineering right now. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

AltexSoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? To help her, Banon developed a search engine for her recipe collection. But like any technology, it has its share of pros and cons.

Engineering 52

Engineering NoSQL Programming Language Java 52

Booking.com Engineering

DECEMBER 2, 2022

From a technical perspective, solving this requires machine learning and operational infrastructure at scale, which is processing performance feedback, assessing historical performance and after running algorithms, communicating results back to a search engine provider. Fig 1: A Google search displaying our PPC advertisement.

Systems 52

Systems Cloud MySQL Relational Database 52

Data Engineering Podcast

NOVEMBER 18, 2018

Apache Flink is a true stream processing engine with an impressive set of capabilities for stateful computation at scale. How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? Apache Flink is a true stream processing engine with an impressive set of capabilities for stateful computation at scale.

Process 100

Process Scala Google Cloud Kafka 100

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? 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. Table of Contents Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

SEPTEMBER 11, 2015

Hadoop has now been around for quite some time. But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? The availability of skilled big data Hadoop talent will directly impact the market.

Hadoop 52

Hadoop Java BI Big Data 52

Knowledge Hut

JANUARY 18, 2024

lakhs) Data engineer-(average salary: Rs8.1 lakh, can reach up to Rs 20 lakhs) Market research analyst-(average salary: Rs 8 lakhs, can reach up to Rs 13 lakhs) Machine Learning Engineer-(average salary: Rs 7.5 SQL SQL is essential if you want to work with relational databases at any level of detail.

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

AltexSoft

MAY 14, 2021

This data isn’t just about structured data that resides within relational databases as rows and columns. On top of that, new technologies are constantly being developed to store and process Big Data allowing data engineers to discover more efficient ways to integrate and use that data. Apache Hadoop.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

DECEMBER 29, 2023

Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor. A Data Engineer in the Data Science team is responsible for this sort of data manipulation. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. Also, they need to be familiar with ETL.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.); Feel free to enjoy it.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data. How is Tableau different from Power BI?

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Table of Contents Why Apache Hadoop?

Hadoop 52

Hadoop Project Big Data Healthcare 52