ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

JUNE 4, 2018

News on Hadoop - May 2018 Data-Driven HR: How Big Data And Analytics Are Transforming Recruitment.Forbes.com, May 4, 2018. With platforms like LinkedIn and Glassdoor giving every employer access to valuable big data, the world of recruitment transforming to intelligent recruitment.HR

Hadoop 52

Hadoop Recruitment Banking Big Data 52

ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Hortonworks Data Platform 2.4, Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

Knowledge Hut

DECEMBER 27, 2023

Accessing and storing huge data volumes for analytics was going on for a long time. But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. What is Big Data? Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

OCTOBER 5, 2018

With market leaders like Microsoft and SAP expanding their horizons at the end user industry, HaaS is likely to witness rapid growth in the next 7 years.Organizations like Commerzbank have already launched new platforms based on HaaS solutions which demonstrate that HaaS is a promising solution for building and managing big data clusters.

Hadoop 40

Hadoop BI MongoDB Big Data 40

Big Data Tools

NOVEMBER 8, 2021

If you are curious about what Apache Ranger is – it’s the framework set up to maintain security over the whole Hadoop platform. That wraps up October’s Data Engineering Annotated. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news! But they are!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

If you are curious about what Apache Ranger is – it’s the framework set up to maintain security over the whole Hadoop platform. That wraps up October’s Data Engineering Annotated. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news! But they are!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

JULY 13, 2022

It made me think that the era of on-premises free Hadoop installations had come to an end. I’m actually happy that this has happened – Hadoop was there for me at the very beginning of my career and I have very positive feelings associated with it. Of course, the main topic is data streaming, as always.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JULY 13, 2022

It made me think that the era of on-premises free Hadoop installations had come to an end. I’m actually happy that this has happened – Hadoop was there for me at the very beginning of my career and I have very positive feelings associated with it. Of course, the main topic is data streaming, as always.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

NOVEMBER 2, 2023

Azure Data Catalog for Data Governance and Discovery Azure Data Catalog can be used to catalog and manage information for diverse data assets, allowing for more efficient data governance, data discovery, and data lineage tracing. Aptitude for learning new big data techniques and technologies.

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Amazon is collecting intelligence and valuable pricing information (big data) from its competitors.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

JANUARY 20, 2016

With widespread enterprise adoption, learning Hadoop is gaining traction as it can lead to lucrative career opportunities. There are several hurdles and pitfalls students and professionals come across while learning Hadoop. How much Java is required to learn Hadoop? How much Java is required to learn Hadoop?

Hadoop 52

Hadoop SQL Java Big Data 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. It instead relies on other systems, such as Amazon S3, etc.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Big Data Tools

JUNE 8, 2022

On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. Of course, the main topic is data streaming. Big Data Event: London – Thousands of attendees are expected to participate in this big data event in London.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. Of course, the main topic is data streaming. Big Data Event: London – Thousands of attendees are expected to participate in this big data event in London.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 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

Big Data Tools

OCTOBER 5, 2021

Improve YARN Registry DNS Server qps – In massive Hadoop clusters, there may be a lot of DNS queries. That wraps up September’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

OCTOBER 5, 2021

Improve YARN Registry DNS Server qps – In massive Hadoop clusters, there may be a lot of DNS queries. That wraps up September’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

Knowledge Hut

APRIL 23, 2024

It becomes more complex because the data keeps adding on a large scale. It is simpler than data science, as BI analysts only deal with sorted data forms. Technologies Used Technologies like Hadoop are available for effective data science operations, and many other tools and techniques are rapidly launching in the market.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

ProjectPro

JUNE 30, 2016

Now, a big-data driven news app for India. 23K jobs for big data analytics in Bengaluru. Data analytics firms gear up to lure the best talent as the demand for specialised talent increases. TCS partners with four colleges to offer courses in Big Data. June 7, 2016. Gizmodo.in Feb 23, 2016.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

MARCH 7, 2016

Big Data is in the middle of its journey, offering various life-changing career opportunities. If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. It might seem redundant to you.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

AUGUST 18, 2016

To begin your big data career, it is more a necessity than an option to have a Hadoop Certification from one of the popular Hadoop vendors like Cloudera, MapR or Hortonworks. Quite a few Hadoop job openings mention specific Hadoop certifications like Cloudera or MapR or Hortonworks, IBM, etc.

Hadoop 40

Hadoop Certification Big Data Scala 40

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.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

NOVEMBER 17, 2023

You must be able to create ETL pipelines using tools like Azure Data Factory and write custom code to extract and transform data if you want to succeed as an Azure Data Engineer. Big Data Technologies You must explore big data technologies such as Apache Spark, Hadoop, and related Azure services like Azure HDInsight.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Big Data Tools

OCTOBER 10, 2022

Spanner on a modern columnar storage engine – From time to time, industry giants share some insight into how they solve their problems, even if they don’t reveal the specific details of the tools they create. That wraps up September’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

Spanner on a modern columnar storage engine – From time to time, industry giants share some insight into how they solve their problems, even if they don’t reveal the specific details of the tools they create. That wraps up September’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

JUNE 23, 2023

Before you get into the stream of data engineering, you should be thorough with the skills required, market and industry demands, and the role and responsibilities of a data engineer. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

JANUARY 19, 2022

Independently create data-driven solutions that are accurate and informative. Interact with the data scientists team and assist them in providing suitable datasets for analysis. Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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. 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

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

AUGUST 9, 2022

Airflow is effective when planning and scheduling data pipeline activities for a specified time because of its ability to orchestrate batch jobs. Airflow can be helpful in scenarios when it's necessary to backup DevOps tasks and store the results into a Hadoop cluster after a Spark job runs.

Scala 52

Scala Banking Hadoop Machine Learning 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. What are its limitations and how do the Hadoop ecosystem address them? scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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

Knowledge Hut

SEPTEMBER 25, 2023

By passing the new CompTIA Data+ certification exam, these individuals can demonstrate that they possess the knowledge and abilities necessary to allow data-driven business decisions. Cloudera Certified Associate (CCA) Data Analyst Introduction: The value of big data in the modern economy is enormous.

Certification 52

Certification Business Analyst Big Data Data Analysis 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.

Certification 52

Certification Data Engineering Data Engineer Engineering 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