ProjectPro

OCTOBER 3, 2016

News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. To compete in a field of diverse data tools, Vertica 8.0 Vertical analytic platform could access hadoop data before but with Vertica 8.0 Forbes.com,September 19,2016.

Hadoop 52

Hadoop Database-centric Pipeline-centric 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

Rockset

JULY 6, 2022

Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. So are schemaless NoSQL databases, which capably ingest firehoses of data but are poor at extracting complex insights from that data. And the same risk of data errors and data downtime also exists.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Knowledge Hut

DECEMBER 21, 2023

To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

NOVEMBER 5, 2014

Hadoop is the way to go for organizations that do not want to add load to their primary storage system and want to write distributed jobs that perform well. MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

ProjectPro

MAY 29, 2015

Professionals looking for a richly rewarded career, Hadoop is the big data technology to master now. As organizations struggle to make sense of their big data, they are willing to pay premium pay packages for competent big data professionals. Big Data made a big showing last year and we're seeing it this year too.

Hadoop 52

Hadoop Big Data Banking NoSQL 52

ProjectPro

MAY 2, 2017

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. combines various online tools and data feeds from the banks pool of 1.2

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52

ProjectPro

MARCH 10, 2016

Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

NOVEMBER 10, 2016

Let’s help you out with some detailed analysis on the career path taken by hadoop developers so you can easily decide on the career path you should follow to become a Hadoop developer. What do recruiters look for when hiring Hadoop developers? Do certifications from popular Hadoop distribution providers provide an edge?

Hadoop 52

Hadoop NoSQL Java Big Data 52

ProjectPro

JUNE 4, 2015

All the components of the Hadoop ecosystem, as explicit entities are evident. All the components of the Hadoop ecosystem, as explicit entities are evident. The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem.

Hadoop 52

Hadoop Architecture IT Java 52

Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

Certification 98

Certification Programming MongoDB R (Programming) 98

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. Data Migration 2.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

JULY 27, 2023

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. As the need for knowledgeable Hadoop engineers increases, so does the debate about salaries. You can opt for Big Data training online to learn about Hadoop and big data.

Hadoop 52

Hadoop Programming Language Banking Big Data 52

Towards Data Science

JANUARY 16, 2024

New data formats emerged — JSON, Avro, Parquet, XML etc. Result: Hadoop & NoSQL frameworks emerged. Data lakes were introduced to store the new data formats. Image by the author 2004 to 2010 — The elephant enters the room New wave of applications emerged — Social Media, Software observability, etc.

Data Warehouse 95

Data Warehouse Data Architecture Relational Database NoSQL 95

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. Times of India.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

MAY 19, 2015

It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

Knowledge Hut

DECEMBER 26, 2023

Pipeline-centric Pipeline-centric data engineers work with Data Scientists to help use the collected data and mostly belong in midsize companies. Database-centric In bigger organizations, Data engineers mainly focus on data analytics since the data flow in such organizations is huge.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

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

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Knowledge Hut

MARCH 27, 2024

The collection of meaningful market data has become a critical component of maintaining consistency in businesses today. A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. What Is Big Data Analytics?

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

Hadoop 52

Hadoop Java Unstructured Data SQL 52

ProjectPro

JULY 3, 2015

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

JUNE 17, 2016

With all these proven facts – it is absolutely necessary to create the perfect LinkedIn profile, in order to secure the right job to start your career in Big Data analytics. Setting up and optimizing your LinkedIn profile to get noticed by recruiters in the big data space takes time.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

MARCH 23, 2016

And so spawned from this research paper, the big data legend - Hadoop and its capabilities for processing enormous amount of data. Same is the story, of the elephant in the big data room- “Hadoop” Surprised? Yes, Doug Cutting named Hadoop framework after his son’s tiny toy elephant.

Hadoop 40

Hadoop IT Big Data Portfolio 40

ProjectPro

APRIL 17, 2015

Big data companies are closely watching the latest trends in big data analytics to gain competitive advantage with the use of data. Businesses are wading into the big data trends as they do not want to take the risk of being left behind. IDC also forecasts that Big Data Analytics market will outpour from $3.2

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Cloudera

SEPTEMBER 24, 2021

Increasingly, skunkworks data science projects based on open source technologies began to spring up in different departments, and as one CIO said to me at the time ‘every department had become a data science department!’ . Data governance was completely balkanized, if it existed at all.

Data Architect 96

Data Architect Government NoSQL Big Data 96

ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. The Global Hadoop Market is anticipated to reach $8.74

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

ProjectPro

JULY 21, 2015

Apache Hive is an effective standard for SQL-in- Hadoop. Apache Hive is designed for the data warehouse system to ease the processing of adhoc queries on massive data sets stored in HDFS and ease data aggregations. If they need real time processing of ad-hoc queries on subset of data then Impala is a better choice.

Hadoop 40

Hadoop SQL NoSQL Kafka 40

ProjectPro

APRIL 29, 2015

In the next 3 to 5 years, more than half of world’s data will be processing using Hadoop. This will open up several hadoop job opportunities for individuals trained and certified in big data Hadoop technology. However, experts predict a major shortage of advanced analytics skills over the next few years.

Hadoop 40

Hadoop Certification IT Big Data 40

ProjectPro

APRIL 27, 2016

Scott Gnau, CTO of Hadoop distribution vendor Hortonworks said - "It doesn't matter who you are — cluster operator, security administrator, data analyst — everyone wants Hadoop and related big data technologies to be straightforward. Curious to know about these Hadoop innovations?

Hadoop 40

Hadoop Big Data Technology Kafka 40

Rockset

MAY 17, 2022

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. That changed when NoSQL databases such as key-value and document stores came on the scene.

SQL 52

SQL NoSQL Hadoop MongoDB 52

AltexSoft

OCTOBER 21, 2022

In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

AltexSoft

MAY 12, 2023

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. There are several widely used unstructured data storage solutions such as data lakes (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Rockset

MARCH 10, 2022

He was an engineer on the database team at Facebook, where he was the founding engineer of the RocksDB data store. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. Successful data-driven companies like Uber, Facebook and Amazon rely on real-time analytics.

Data Analytics 52

Data Analytics Data Warehouse MySQL Medical 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

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98