ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Similarly, GraphX is a valuable tool for processing graphs.

Hadoop 52

Hadoop Big Data Tools Java SQL 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. Proficiency in programming languages: Knowledge of programming languages such as Python and SQL is essential for Azure Data Engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 2, 2023

These Azure data engineer projects provide a wonderful opportunity to enhance your data engineering skills, whether you are a beginner, an intermediate-level engineer, or an advanced practitioner. Who is Azure Data Engineer? CSV, SQL Server), transform it, and load it into a target storage (e.g.,

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. It also involves creating a visual representation of data assets.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

FEBRUARY 16, 2023

Apache Spark is an open-source, distributed computing system for big data processing and analytics. It has become a popular big data and machine learning analytics engine. Spark is used by some of the world's largest and fastest-growing firms to analyze data and allow downstream analytics and machine learning.

Big Data 52

Big Data Machine Learning Scala Hadoop 52

ProjectPro

APRIL 1, 2016

Sztanko announced at Computing’s 2016 Big Data & Analytics Summit that, they are using a combination of Big Data tools to tackle the data problem. Badoo uses Hadoop for batch processing and EXASOL’s analytics database. Visualization and SQL-on-Hadoop is entering the mainstream.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

Knowledge Hut

NOVEMBER 17, 2023

Here is a step-by-step guide on how to become an Azure Data Engineer: 1. Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. You ought to be able to create a data model that is performance- and scalability-optimized.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

FEBRUARY 8, 2023

In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool.

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AWS Scala Metadata Data Lake 98

Edureka

AUGUST 23, 2024

Amazon Web Service (AWS) offers the Amazon Kinesis service to process a vast amount of data, including, but not limited to, audio, video, website clickstreams, application logs, and IoT telemetry, every second in real-time. Compared to Big Data tools, Amazon Kinesis is automated and fully managed.

AWS 52

AWS Kafka Amazon Web Services Medical 52

Knowledge Hut

DECEMBER 21, 2023

With the help of these tools, analysts can discover new insights into the data. Hadoop helps in data mining, predictive analytics, and ML applications. Why are Hadoop Big Data Tools Needed? HIVE Hive is an open-source data warehousing Hadoop tool that helps manage huge dataset files.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Google BigQuery receives the structured data from workers.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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

JANUARY 24, 2023

Programming Language.NET and Python Python and Scala AWS Glue vs. Azure Data Factory Pricing Glue prices are primarily based on data processing unit (DPU) hours. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

DECEMBER 7, 2021

Big data pipelines must be able to recognize and process data in various formats, including structured, unstructured, and semi-structured, due to the variety of big data. Over the years, companies primarily depended on batch processing to gain insights.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

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

JANUARY 24, 2023

ADF-DF is a reliable Azure substitute for the on-premises SSIS package data flow engine. Data flows can be processed as activities within Azure Data Factory pipelines using scaled-out Spark clusters. For scaled-out data processing, your data flows will run on your own execution cluster.

Retail 52

Retail Big Data Data Pipeline Media 52

ProjectPro

APRIL 27, 2016

Innovations on Big Data technologies and Hadoop i.e. the Hadoop big data tools , let you pick the right ingredients from the data-store, organise them, and mix them. Now, thanks to a number of open source big data technology innovations, Hadoop implementation has become much more affordable.

Hadoop 40

Hadoop Big Data Technology Kafka 40

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. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. Additional reporting skills are desirable, such as Oracle BI or Power BI.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

SEPTEMBER 26, 2021

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. billion by 2025.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Data Science Blog: Data Engineering

JULY 4, 2022

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner.

Hadoop 52

Hadoop Big Data Datasets Scala 52

ProjectPro

AUGUST 11, 2021

Data warehouses store highly transformed, structured data that is preprocessed and designed to serve a specific purpose. Data is generally not loaded into a data warehouse unless a use case has been defined for the data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. Using scripts, data engineers ought to be able to automate routine tasks.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

MAY 23, 2024

It uses batch processing to handle this flow of enormous data streams (that are unbounded - i.e., they do not have a fixed start and endpoint) as well as stored datasets (that are bounded). Programming Language-driven Tools 9. Python: Python is, by far, the most widely used data science programming language.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

MARCH 5, 2024

Singapore has a thriving technical market that has been on the lookout for data engineers. Top MNCs in Singapore are hiring Data Engineers and offering exciting salary packages. Data engineers also analyze the kind of data that should be retrieved and stored.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 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.

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Data Engineering Data Engineer Engineering Hadoop 40

Edureka

JUNE 1, 2023

Without spending a lot of money on hardware, it is possible to acquire virtual machines and install software to manage data replication, distributed file systems, and entire big data ecosystems. This happens often in data analytics since running reports on huge data processes is done once in a while.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

APRIL 15, 2016

Read More in Detail- /article/-mapreduce-vs-pig-vs-hive/163 2) Compare Apache Pig and SQL. Apache Pig differs from SQL in its usage for ETL, lazy evaluation, store data at any given point of time in the pipeline, support for pipeline splits and explicit declaration of execution plans. 4) Explain about the BloomMapFile.

Hadoop 40

Hadoop Java Big Data SQL 40

ProjectPro

NOVEMBER 14, 2015

Hadoop projects make optimum use of ever-increasing parallel processing capabilities of processors and expanding storage spaces to deliver cost-effective, reliable solutions. Owned by Apache Software Foundation, Apache Spark is an open-source data processing framework. Why Apache Spark?

Hadoop 52

Hadoop Project Big Data Healthcare 52

Databand.ai

DECEMBER 13, 2022

Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS). He also shares thoughts and advice regularly on LinkedIn, centered around topics like SQL, data engineering, careers, and interviews.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

JULY 4, 2023

Data Engineer They do the job of finding trends and abnormalities in data sets. They create their own algorithms to modify data to gain more insightful knowledge. Programming languages like Python and SQL that deal with data structures are essential for this position. There is a demand for data analysts worldwide.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

ProjectPro

AUGUST 21, 2015

Big Data Hadoop Interview Questions and Answers These are Hadoop Basic Interview Questions and Answers for freshers and experienced. Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 29, 2021

Redis is a no-SQL database. Apache Storm is a distributed real-time processing system that allows the processing of very large amounts of data. Storm runs continuously consuming data from configured sources and passes it along the data pipeline to configured destinations.

Kafka 40

Kafka Big Data Bytes Java 40

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

ProjectPro

JUNE 24, 2021

A perfect blend of technical and soft skills like excellent communication skills, storytelling, a keen attention to detail and a good ability to make logical and mathematical decisions will take you a long way in your data analytics career. Zeppelin allows individuals or teams to engage in data visualization on a collaborative basis.

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Data Analytics Project Insurance Hadoop 40