Big Data Tools

MAY 19, 2022

YuniKorn 1.0.0 – If you’ve been anxiously waiting for Kubernetes to come to data engineering, your wishes have been granted. A top-level ASF project, YuniKorn 1.0 is a scheduler targeting big data and ML workflows, and of course, it is cloud-native. That wraps up April’s Data Engineering Annotated.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

ProjectPro

DECEMBER 14, 2021

Check out these Power BI projects that will blow your mind with Power BI’s interactive dashboards, exceptional graphs and charts, and many more features. Nearly 80% of industrial data is said to be ‘unstructured’ The global Business Intelligence market is forecasted to reach USD 33.3 Product Sales Data Analysis 3.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

FEBRUARY 16, 2023

Apache Splunk is a real-time search and analysis engine that enables organizations to quickly and easily search through large volumes of log data. This log data can be generated from various sources, including servers, applications, network devices, and security systems. its architecture, and essential Splunk use cases.

Big Data Tools 52

Big Data Tools Big Data Architecture Data 52

Big Data Tools

JULY 13, 2022

ShardingSphere – One more thing I learned while preparing this installment is that there is an entire top-level project to convert traditional databases into distributed ones. How is it possible to support distributed transactions and solve the other complex problems of distributed systems? To be honest, I’m a little skeptical.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

JULY 13, 2022

ShardingSphere – One more thing I learned while preparing this installment is that there is an entire top-level project to convert traditional databases into distributed ones. How is it possible to support distributed transactions and solve the other complex problems of distributed systems? To be honest, I’m a little skeptical.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

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. Explore SQL Database Projects to Add them to Your Data Engineer Resume.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Big Data Tools

NOVEMBER 9, 2022

One of the great things about ASF projects is that they usually work nicely together, and this is no exception. Apache Age 1.1.0 – Sometimes, we data engineers do work that doesn’t deal directly with big data. That wraps up October’s Data Engineering Annotated. For example, the current 1.1.3

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 9, 2022

One of the great things about ASF projects is that they usually work nicely together, and this is no exception. Apache Age 1.1.0 – Sometimes, we data engineers do work that doesn’t deal directly with big data. That wraps up October’s Data Engineering Annotated. For example, the current 1.1.3

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

Camel K 1.6.0 – This is not a huge release of Camel K, but I just wanted to share this awesome project, which is not widely known inside my bubble. Here are some great articles and posts that can help us all learn from the experience of other people, teams, and companies who work in data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

Camel K 1.6.0 – This is not a huge release of Camel K, but I just wanted to share this awesome project, which is not widely known inside my bubble. Here are some great articles and posts that can help us all learn from the experience of other people, teams, and companies who work in data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

ProjectPro

JANUARY 19, 2022

Data Engineer: Job Growth in Future What do Data Engineers do? Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer?

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

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. Data Integration 3.Scalability

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale.

Big Data 52

Big Data Certification Hadoop Kafka 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 Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 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? HDFS HDFS is the abbreviated form of Hadoop Distributed File System and is a component of Apache Hadoop.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

JANUARY 24, 2023

Such features make Azure data flow a highly popular tool among data engineers. This blog discusses the Azure Data Factory data flow, its types, and some useful transformations the tool offers to help you scale up your data engineering projects. PREVIOUS NEXT <

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Retail Big Data Data Pipeline Media 52

Knowledge Hut

JUNE 23, 2023

You can simultaneously work on your skills, knowledge, and experience and launch your career in data engineering. Soft Skills You should have the right verbal and written communication skills required for a data engineer. Soft Skills You should have the right verbal and written communication skills required for a data engineer.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

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. Today, the Apache Spark project has over 1,000 contributors from over 250 companies worldwide.

Big Data 52

Big Data Scala Machine Learning Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

ProjectPro

JANUARY 27, 2023

If you're wondering how the ETL process can drive your company to a new era of success, this blog will help you discover what use cases of ETL make it a critical component in many data management and analytic systems. Business Intelligence - ETL is a key component of BI systems for extracting and preparing data for analytics.

BI 52

BI ETL Tools Retail Healthcare 52

ProjectPro

JANUARY 24, 2023

With a lot of similarities between both, but there are some interesting differences too, and thus, professionals often consider comparing them so they can choose the right ETL tool for their projects. 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

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?

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AWS Scala Metadata Data Lake 98

ProjectPro

FEBRUARY 25, 2022

It is a beautiful technique for implementing data science projects that allow businesses to increase their projects’ efficiency minimize the risk of introducing machine learning, artificial intelligence, and data-science-related technologies. These steps are: Cleaning the data and handling different file formats.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

ProjectPro

FEBRUARY 16, 2023

It examines several system health and performance aspects, including the ability to sign in, ingest data, use Splunk Web, and conduct searches. You can run codeless queries on logs with Log Observer to find the origin of faults in your systems. What is the importance of the Splunk Data Stream Processor? PREVIOUS NEXT <

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Big Data Big Data Tools Cloud Data 52

Knowledge Hut

APRIL 23, 2024

Big Data Training online courses will help you build a robust skill-set working with the most powerful big data tools and technologies. Big Data vs Small Data: Velocity Big Data is often characterized by high data velocity, requiring real-time or near real-time data ingestion and processing.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

MAY 23, 2024

This vast stream of interdisciplinary domains deals with data in different ways. It helps companies understand data and obtain meaningful insights from it. According to the GlobeNewswire report , the projected growth of the data science market will hike up to a CAGR of 25 percent by 2030. Big Data Tools 23.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

ProjectPro

DECEMBER 7, 2021

Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline? Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline?

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Data Pipeline Architecture Kafka AWS 52

Data Science Blog: Data Engineering

JULY 4, 2022

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. Apache Spark is an open-source distributed system for big data workforces.

Hadoop 52

Hadoop Big Data Datasets Scala 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. So, let's get started!

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Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

JUNE 20, 2023

In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. He researches, develops, and implements artificial intelligence (AI) systems to automate predictive models. This profile is more in demand in midsize and big businesses.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

NOVEMBER 17, 2023

According to Ambition Box, the average yearly income for an Azure Data Engineer is 7 LPA, with a salary range of 5 to 15 LPA. According to these figures, the demand for knowledgeable Azure Data Engineers is projected to increase in the upcoming years.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Apache Kafka and RabbitMQ are equally excellent and veracious when put against in comparison as messaging systems.

Kafka 52

Kafka Big Data Java Architecture 52

AltexSoft

FEBRUARY 11, 2023

Another important task is to evaluate the company’s hardware and software and identify if there is a need to replace old components and migrate data to a new system. Source: Pragmatic Works This specialist also oversees the deployment of the proposed framework as well as data migration and data integration processes.

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Data Architect Certification Generalist Big Data 87

ProjectPro

JANUARY 31, 2023

Key features Hadoop RDBMS Overview Hadoop is an open-source software collection that links several computers to solve problems requiring large quantities of data and processing. RDBMS is a part of system software used to create and manage databases based on the relational model. RDBMS stores structured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. The use of data has risen significantly in recent years.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

Knowledge Hut

APRIL 23, 2024

The BI analysts study the data patterns thoroughly to understand the ways in which their business performed previously. In the last step, they use this information to launch new products or plan upgrades in the existing system. They would analyze consumer behavior and data patterns to make fool-proof decisions.

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Business Intelligence Data Science BI Unstructured Data 52