ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Migration 2.

Hadoop 52

Hadoop Project Big Data Healthcare 52

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Podcast

OCTOBER 21, 2019

This week’s episode is also sponsored by Datacoral, an AWS-native, serverless, data infrastructure that installs in your VPC. We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, Alluxio, and Data Council.

Cloud 100

Cloud Hadoop Data Lake Programming Language 100

Data Engineering Podcast

NOVEMBER 18, 2019

This week’s episode is also sponsored by Datacoral, an AWS-native, serverless, data infrastructure that installs in your VPC. We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, Alluxio, and Data Council.

Data Lake 100

Data Lake Scala Data Warehouse Hadoop 100

Knowledge Hut

DECEMBER 26, 2023

Most of the Data engineers working in the field enroll themselves in several other training programs to learn an outside skill, such as Hadoop or Big Data querying, alongside their Master's degree and PhDs. Data Engineers use the AWS platform to design the flow of data.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Knowledge Hut

DECEMBER 26, 2023

Data Engineer Bootcamp : The Data Engineer Bootcamp course is designed to give students the skills and knowledge they need to become successful data engineers. The course covers the basics of data engineering, including data architecture, data modeling, and data management.

Certification 95

Certification Java Google Cloud Education 95

Cloudera

SEPTEMBER 28, 2020

Lineage and chain of custody, advanced data discovery and business glossary. Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. The customer team included several Hadoop administrators, a program manager, a database administrator and an enterprise architect. Customer A was able to upgrade successfully from CDH 5.14.2

Cloud 132

Cloud Kafka Professional Services Metadata 132

ProjectPro

JANUARY 31, 2023

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? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

U-Next

AUGUST 17, 2022

Amazon Web Services (AWS) – Most programmers utilize the well-known cloud computing platform AWS to increase their flexibility, originality, and scalability. To create autonomous data streams, Data Engineering teams use AWS. Big Data analytics can benefit from it because of this.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). 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.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Cloud Academy

JANUARY 27, 2022

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? A data engineer is an engineer who creates solutions from raw data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 21, 2023

AWS or Azure? With so many data engineering certifications available , choosing the right one can be a daunting task. This section mainly focuses on the three most valuable and popular vendor-specific data engineering certifications- AWS, Azure , and GCP. Cloudera or Databricks?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks focuses on data engineering and data science.

Scala 64

Scala Data Lake Machine Learning BI 64

AltexSoft

MAY 12, 2023

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. There are several widely used unstructured data storage solutions such as data lakes (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. Your organization will use internal and external sources to port the data.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 9, 2023

Skills For Azure Data Engineer Resumes Here are examples of popular skills from Azure Data Engineer Hadoop: An open-source software framework called Hadoop is used to store and process large amounts of data on a cluster of inexpensive servers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

JULY 5, 2024

Hadoop and Spark: The cavalry arrived in the form of Hadoop and Spark, revolutionizing how we process and analyze large datasets. Cloud Era: Cloud platforms like AWS and Azure took center stage, making sophisticated data solutions accessible to all.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

ProjectPro

DECEMBER 7, 2021

The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline? Features of a Data Pipeline Data Pipeline Architecture How to Build an End-to-End Data Pipeline from Scratch? What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Edureka

AUGUST 29, 2024

Data Warehousing: Experience in using tools like Amazon Redshift, Google BigQuery, or Snowflake. Big Data Technologies: Aware of Hadoop, Spark, and other platforms for big data. With experience and skills, you can advance to roles such as: Mid-level Data Engineer: Lead small teams; deliver more complex data tasks.

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MARCH 5, 2024

Data engineers working on healthcare product development may build data systems to support AI-powered medical image analysis. On the other hand, a data engineer working in a hospital system might design a data architecture that manages and integrates electronic medical records.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

ProjectPro

JULY 27, 2021

A data warehouse can contain unstructured data too. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data. Explain how Big Data and Hadoop are related to each other.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Monte Carlo

JULY 27, 2023

The most common use case data quality engineers support are: Analytical dashboards : Mentioned in 56% of job postings Machine learning or data science teams : Mentioned in 34% of postings Gen AI : Mentioned in one job posting (but really emphatically).

Engineering 52

Engineering Healthcare Data Warehouse Scala 52

AltexSoft

AUGUST 29, 2023

Also, data lakes support ELT (Extract, Load, Transform) processes, in which transformation can happen after the data is loaded in a centralized store. A data lakehouse may be an option if you want the best of both worlds. Real-time ingestion immediately brings data into the data lake as it is generated.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. Knowledge of requirements and knowledge of machine learning libraries.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

JANUARY 31, 2022

Snowflake Features that Make Data Science Easier Building Data Applications with Snowflake Data Warehouse Snowflake Data Warehouse Architecture How Does Snowflake Store Data Internally? Snowflake is not based on existing database systems or big data software platforms like Hadoop.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Monte Carlo

JUNE 14, 2023

5 Data pipeline architecture designs and their evolution The Hadoop era , roughly 2011 to 2017, arguably ushered in big data processing capabilities to mainstream organizations. Data then, and even today for some organizations, was primarily hosted in on-premises databases with non-scalable storage.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Data lakehouse architecture designs. Storage layer. Metadata layer.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

JUNE 30, 2023

It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. Key Benefits and Takeaways: Learn the core concepts of big data systems. Investigate real-time data processing methods by employing distributed systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

SEPTEMBER 26, 2023

However, if you require a platform that can handle a broader spectrum of data processing tasks, including real-time analytics and machine learning, Databricks' Apache Spark-based architecture is more appropriate. Azure Synapse also supports integration with Azure Data Lake Storage and other Azure data services.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Edureka

AUGUST 29, 2024

Senior data engineers design and implement robust data architectures, mentor junior engineers in their Craft, and drive critical strategic data initiatives. Average Salary for Data Engineers Based on Location The salary of data engineers can vary significantly based on their geographical location.

Data Engineering 40

Data Engineering Data Engineer Engineering Portfolio 40

Knowledge Hut

FEBRUARY 27, 2023

Machine learning engineers must also have experience in working on standard ML frameworks like TensorFlow, Scikit-learn, Apache Hadoop, PyTorch, and a few others. They should be familiar with major coding languages like R, Python, Scala, and Java and scientific computing tools like MATLAB.

Machine Learning 52

Machine Learning Software Engineer Software Engineering Education 52

Knowledge Hut

NOVEMBER 28, 2023

Deloitte: The average annual compensation for data scientists in Deloitte is about ₹7,00,000 in India. PwC: The average salary for a PwC data scientist in India is about 5. Amazon and AWS: The average salary of a data scientist working at Amazon is about ₹13,00,000.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

ProjectPro

JANUARY 19, 2022

This indicates that Microsoft Azure Data Engineers are in high demand. Azure's usage graph grows every year, bringing it closer to AWS. These companies are migrating their data and servers from on-premises to Azure Cloud. This exam assesses your ability to set up a data processing pipeline and configure each component.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

MAY 31, 2021

The Apache Hadoop open source big data project ecosystem with tools such as Pig, Impala, Hive, Spark, Kafka Oozie, and HDFS can be used for storage and processing. Big Data Project using Hadoop with Source Code for Web Server Log Processing 5. Raw page data counts from Wikipedia can be collected and processed via Hadoop.

Big Data 52

Big Data Coding Project Hadoop 52