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 26, 2023

Certain roles like Data Scientists require a good knowledge of coding compared to other roles. Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Big Data Tools

NOVEMBER 9, 2022

The query language is some kind of mix of traditional SQL and Cypher , which is, as far as I’m concerned, the most popular graph query language today. Dbt packages allow one project to depend on others, making the usage of dbt much more manageable in the event your warehouses are massive.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 9, 2022

The query language is some kind of mix of traditional SQL and Cypher , which is, as far as I’m concerned, the most popular graph query language today. Dbt packages allow one project to depend on others, making the usage of dbt much more manageable in the event your warehouses are massive.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 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. ETL activities are also the responsibility of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 23, 2023

You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

AUGUST 24, 2021

Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JANUARY 24, 2023

If you’re working on this data analysis project, you must first extract data from multiple sources like POS systems, e-commerce apps, and social media platforms. The next step would be to transform it and load it into a data warehouse for further analysis.

Retail 52

Retail Big Data Data Pipeline Media 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

SEPTEMBER 26, 2021

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 7, 2021

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

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. Using AWS services, Magellan Rx reduced operational costs, shortened extract, transform, and load (ETL) times, and scaled operations.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

AltexSoft

JUNE 26, 2023

Such tables create the basis for business intelligence, traditional data analytics, and time series forecasting (if data about the same item is collected at different points of time.) Structured data is modeled to be easily searchable and occupy minimal storage space. No wonder only 0.5 and its value (male, red, $100, etc.).

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JANUARY 19, 2022

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. Learning Resources: How to Become a GCP Data Engineer How to Become a Azure Data Engineer How to Become a Aws Data Engineer 6.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

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. So, let's get started!

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Databand.ai

DECEMBER 13, 2022

We’d be remiss not to share that Joseph was a recent guest on Databand’s MAD Data Podcast , where he discussed ways to keep data systems from becoming unwieldy and shared tips for data teams to manage their data warehouses and keep data pipelines running reliably. You can also watch the video recording.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

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

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. How Does AWS Glue Work?

AWS 98

AWS Scala Metadata Data Lake 98

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. Data is regularly updated.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

APRIL 1, 2016

GlobeNewsWire.com Cloudera – the global provider of the easiest and the most secure data management to be built of Apache Hadoop , recently announced that recently it has moved from the Challengers to the Visionaries position in the 2016 Gartner Magic Quadrant for Data Warehouse and Data Management solution for analytics.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

ProjectPro

JANUARY 19, 2022

Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. Skills A data engineer should have good programming and analytical skills with big data knowledge.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Steps for Data preparation.

Big Data 52

Big Data Hadoop Relational Database AWS 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

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 ecosystem has a very desirable ability to blend with popular programming and scripting platforms such as SQL, Java , Python, and the like which makes migration projects easier to execute. From Data Engineering Fundamentals to full hands-on example projects , check out data engineering projects by ProjectPro 2.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

AUGUST 21, 2015

Unorganized and raw data that cannot be categorized as semi-structured or structured data is referred to as unstructured data. are all examples of unstructured data. Mention how you configured the number of required nodes , tools, services, security features such as SSL, SASL, Kerberos, etc.

Hadoop 40

Hadoop Big Data Metadata Java 40

Knowledge Hut

OCTOBER 30, 2023

It is the ideal moment to begin working on your big data project if you are a big data student in your final year. Current suggestions for your next big data project are provided in this article. For obtaining data from various Hadoop-integrated databases and file systems, Hive has a SQL-like interface.

Big Data 52

Big Data Coding Project Medical 52

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. Here is an example of Sales Forecasting for Walmart stores.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40