Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

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Data Process Process Hadoop Scala 52

Jesse Anderson

DECEMBER 12, 2022

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. It was the place where the brightest big data minds came and spoke. Big data projects were given to data scientists and data warehouse teams, where the projects subsequently failed.

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Data Engineering Data Engineer Engineering Hadoop 130

ProjectPro

FEBRUARY 21, 2023

With around 35k stars and over 26k forks on Github, Apache Spark is one of the most popular big data frameworks used by 22,760 companies worldwide. Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations.

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Scala Programming Language Java Hadoop 52

Knowledge Hut

MAY 2, 2024

It provides high-level APIs in Java, Scala, Python, and R and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming. Start your journey today!

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Hadoop Java Scala Programming Language 52

Knowledge Hut

DECEMBER 22, 2023

A data scientist's main responsibility is to draw practical conclusions from complicated data so that you may make informed business decisions. This career guide can assist you in taking the first steps toward a rewarding career in data science if you're wondering how to become a data scientist.

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Portfolio Data Science Programming Language Scala 98

ProjectPro

FEBRUARY 8, 2023

Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever. AWS Glue is here to put an end to all your worries!

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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.);

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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 Scala Machine Learning Hadoop 52

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. Furthermore, AWS Glue DataBrew allows you to visually clean and normalize data without any code.

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Big Data Tools

MAY 19, 2022

is a scheduler targeting big data and ML workflows, and of course, it is cloud-native. The team has also added the ability to run Scala for the SparkSQL engine. Architecture for High-Throughput Low-Latency Big Data Pipeline on Cloud – The title of the article speaks for itself.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

is a scheduler targeting big data and ML workflows, and of course, it is cloud-native. The team has also added the ability to run Scala for the SparkSQL engine. Architecture for High-Throughput Low-Latency Big Data Pipeline on Cloud – The title of the article speaks for itself.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 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. Begin with a small sample of the data.

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Hadoop Big Data Datasets Scala 52

Knowledge Hut

SEPTEMBER 26, 2023

Data is necessary for everything, including analytics and traffic monitoring. Businesses require an infrastructure that educates their staff to sort and analyze this volume of data to handle such big data. Data engineering services can be used in this situation.

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Certification Data Engineering Data Engineer Engineering 52

Big Data Tools

SEPTEMBER 6, 2021

Support for Scala 2.12 Even if a meteorite hits your data center, your big data is still going to be safe! Future improvements Data engineering technologies are evolving every day. This blog post is more about data quality, though, describing how they built their data quality platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Edureka

FEBRUARY 9, 2023

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. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Hadoop projects are increasingly important for businesses aiming to gain insights and stay competitive by utilizing their large volumes of data.

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Hadoop Project Datasets Big Data 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Gain insight into their significance in handling vast datasets.

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Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools!

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Data Engineering Data Engineer Engineering Google Cloud 52

Big Data Tools

NOVEMBER 8, 2021

Also, this release is compatible with Scala 2.13 – the latest stable language release before the 3.x That wraps up October’s Data Engineering Annotated. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news! You can also get in touch with our team at big-data-tools@jetbrains.com.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

Also, this release is compatible with Scala 2.13 – the latest stable language release before the 3.x That wraps up October’s Data Engineering Annotated. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news! You can also get in touch with our team at big-data-tools@jetbrains.com.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 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. Deepak regularly shares blog content and similar advice on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Big Data Tools

AUGUST 3, 2021

Here’s what’s happening in data engineering right now. Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. Row-access policies in Snowflake – Snowflake is one of the most well-known unicorns in the world of Big Data.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

AUGUST 3, 2021

Here’s what’s happening in data engineering right now. Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. Row-access policies in Snowflake – Snowflake is one of the most well-known unicorns in the world of Big Data.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

SEPTEMBER 6, 2021

Support for Scala 2.12 Even if a meteorite hits your data center, your big data is still going to be safe! Future improvements Data engineering technologies are evolving every day. This blog post is more about data quality, though, describing how they built their data quality platform.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

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? Don’t worry! The exam has a multiple-choice question format with a total duration of 170 minutes.

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Certification Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 9, 2023

This position requires knowledge of Microsoft Azure services such as Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Cosmos DB, and Azure Storage. Experience with data warehousing and ETL concepts, as well as programming languages such as Python, SQL, and Java, is required.

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Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

NOVEMBER 17, 2023

Analytics Another essential tool being offered by Amazon for a data scientist is- Amazon Athena is a query service for analyzing the data in Amazon S3 or Glacier. Amazon Elastic MapReduce (EMR) helps efficiently process and analyze big data using servers like Spark and Hadoop. It helps data scientists to process big data.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Knowledge Hut

SEPTEMBER 29, 2023

In today's business world, the power of data is undeniable. Big data, in particular, is growing rapidly, and experts predict it could be worth a whopping $273.4 This growth is creating a strong demand for data experts, especially Azure data engineers. Why Should You Get an Azure Data Engineer Certification?

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Certification Data Engineering Data Engineer Engineering 52

RandomTrees

SEPTEMBER 7, 2020

In order to work with massive amounts of data in petabytes or even more, Apache Spark is widely used. Apache Spark is an open-source, fast cluster computing system and a highly popular framework for big data analysis. This framework processes the data in parallel that helps to boost the performance.

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Project Scala Machine Learning BI 52

Knowledge Hut

DECEMBER 26, 2023

This is the reason why Data Science and big data analytics are at the cutting edge of every industry. The top companies that hire data engineers are as follows: Amazon It is the largest e-commerce company in the US founded by Jeff Bezos in 1944 and is hailed as a cloud computing business giant.

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Data Engineering Data Engineer Engineering Pipeline-centric 98

Rockset

MARCH 27, 2023

This blog will clarify some conceptual differences, provide an overview of popular tools, and offer a framework for deciding which tools are best suited for specific technical requirements. It was developed by the Apache Software Foundation and is written in Java and Scala. For a deeper dive on this topic, check out this blog.

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Database Process Scala SQL 52

Knowledge Hut

APRIL 25, 2023

Top Data Ingestion Tools Some of the most popular Data ingestion tools used in the industry these days are mentioned below along with their prominent features: Apache Kafka: Written in Scala and Java, it delivers data with low latency and high throughput. It is useful for Big Data ingestion.

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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.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

U-Next

AUGUST 3, 2022

Data Scientists are no less than sultans of big data. Their roles and responsibilities include gathering, analysing, and interpreting data. Read on to know more about Data Scientists’ required skills, etc. An Introduction to A Data Scientist’s Roles and Responsibilities. Conclusion.

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Retail Data Science Computer Science Entertainment 52

AltexSoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Cloudera , focusing on Big Data analytics. Web App Development.

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Kafka Hadoop ETL Tools Big Data 93

Cloudera

NOVEMBER 16, 2017

Cloudera Data Science Workbench (CDSW) is a self-service collaboration platform for data scientists. It offers: Secure access to Cloudera data. Support for Python, R, and Scala. For more detail on user monitoring, read this article on the Cloudera Engineering Blog. for the Oracle Big Data Appliance.)

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Data Science Deep Learning Scala Hadoop 40

Databand.ai

DECEMBER 20, 2022

He is also an open-source developer at The Apache Software Foundation and the author of Hysterical , a popular blog on tech careers and topics like data, coding, and engineering. Through these roles, he has developed a passion for using data and common sense to generate simple, implementable solutions to complex problems.

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Data Analytics Google Cloud Data Science Data Mining 52