ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. HBase vs. Cassandra - What’s the Difference?

NoSQL 52

NoSQL Database Hadoop Big Data 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. You can opt for Big Data training online to learn about Hadoop and big data. You can opt for big data and Hadoop certification to boost your growth and salary.

Hadoop 52

Hadoop Programming Language Banking Scala 52

Cloudera

NOVEMBER 15, 2022

CDP Operational Database (COD) is a real-time auto-scaling operational database powered by Apache HBase and Apache Phoenix. It is one of the main data services that run on Cloudera Data Platform (CDP) Public Cloud. The store file tracking project in HBase addresses the missing atomic renames on S3 for HBase.

Database 76

Database Cloud Cloud Storage Architecture 76

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. Indeed recently posted nearly 2.4k

Big Data 52

Big Data Scala Machine Learning Hadoop 52

ProjectPro

FEBRUARY 18, 2022

The big data analytics market is expected to grow at a CAGR of 13.2 This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Let us now understand why the ETL pipelines hold such great value in Data Science and Analytics.

Project 52

Project AWS Kafka Healthcare 52

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.

Scala 52

Scala Programming Language Java Hadoop 52

Data Engineering Podcast

NOVEMBER 26, 2019

As they scaled the volume of customers and data they began running into the limitations of their initial architecture. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

Data Warehouse 100

Data Warehouse Building PostgreSQL Kafka 100

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

SEPTEMBER 9, 2021

The CDP Operational Database ( COD ) builds on the foundation of existing operational database capabilities that were available with Apache HBase and/or Apache Phoenix in legacy CDH and HDP deployments. Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components.

Database 93

Database AWS Relational Database Government 93

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! Everything is about data these days.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Data Engineering Podcast

JANUARY 13, 2020

This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth. YugabyteDB is an open source database designed to support planet scale workloads with high data density and full ACID compliance. A growing trend in database engines (e.g.

SQL 100

SQL PostgreSQL MongoDB Database Design 100

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. Apache Spark also offers hassle-free integration with other high-level tools.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Big Data Tools

OCTOBER 10, 2022

I am now delighted to have the privilege of returning to the task of collecting for you the most exciting news from the world of data engineering. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Nevertheless, the project looks very interesting.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

I am now delighted to have the privilege of returning to the task of collecting for you the most exciting news from the world of data engineering. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Nevertheless, the project looks very interesting.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

ProjectPro

NOVEMBER 15, 2021

.” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

Big Data 52

Big Data Project Metadata Programming Language 52

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions. Apache Spark, Microsoft Azure, Amazon Web services, etc.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 28, 2023

Data Science: A powerful suite of data management, analytics, and machine learning tools for extracting business value from data. Hardware: Access the largest selection of AI-optimized computer options from partners for training and deploying data-intensive models, such as TPUs, GPUs, and CPUs.

Amazon Web Services 64

Amazon Web Services Machine Learning Medical Deep Learning 64

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

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 73

Data Science BI Business Intelligence Data Mining 73

ProjectPro

DECEMBER 7, 2016

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend?

Technology 40

Technology NoSQL Hadoop Data Mining 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! What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

DECEMBER 28, 2021

The digital economy is driven by data disrupting industries across the globe with increasing number of companies wanting to glean valuable insights from real-time data. Allied Market Research estimated the global big data and business analytics market to be valued at $198.08 billion by 2030. billion by 2030.

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

AUGUST 24, 2016

Pinterest runs 38 different HBase clusters with some of them doing up to 5 million operations every second. Goibibo uses HBase for customer profiling. Facebook Messenger uses HBase architecture and many other companies like Flurry, Adobe Explorys use HBase in production. If you need random access, you have to have HBase."-

Architecture 40

Architecture IT Hadoop NoSQL 40

ProjectPro

JUNE 4, 2015

HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets. The basic principle of working behind Apache Hadoop is to break up unstructured data and distribute it into many parts for concurrent data analysis.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

OCTOBER 15, 2014

Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed. There is no simple way to compare both Pig and Hive without digging deep into both in greater detail as to how they help in processing large amounts of data. Table of contents Hive vs Pig What is Big Data and Hadoop?

Hadoop 52

Hadoop Unstructured Data Java SQL 52

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. Sparkling new innovations are easy to find in the big data world.

Hadoop 40

Hadoop Big Data Technology Big Data Tools 40

ProjectPro

FEBRUARY 10, 2016

Ten years ago nobody was aware that an open source technology, like Apache Hadoop will fire a revolution in the world of big data. Although we might be a bit late but it is still worth wishing the poster child for big data analytics - a belated Happy Birthday! Happy Birthday Hadoop With more than 1.7

Hadoop 40

Hadoop Big Data Programming SQL 40

ProjectPro

AUGUST 30, 2016

Bank of America has tapped into Hadoop technology to manage and analyse the large amounts of customer and transaction data that it generates. Big Data analytics and Hadoop are the heart of ‘BankAmeriDeals’ program, that provides cashback offers to bank’s credit and debit card holders.

Banking 40

Banking Hadoop MySQL Big Data 40

Rockset

MAY 17, 2022

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. For instance, customer personalization systems need to combine historic data sets with real-time data streams to instantly provide the most relevant product recommendations to customers.

SQL 52

SQL NoSQL Hadoop MongoDB 52

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

ProjectPro

NOVEMBER 6, 2015

Every new release and abstraction on Hadoop is used to improve one or the other drawback in data processing, storage and analysis. Apache Hive was introduced by Facebook to manage and process the large datasets in the distributed storage in Hadoop. Data explosion in the past decade has not disappointed big data enthusiasts one bit.

Hadoop 52

Hadoop SQL Java Metadata 52

Rockset

MAY 12, 2022

This is the third post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. There are many other occasions where data traffic balloons suddenly. In the old days of batch analytics, bursts of data traffic were easier to manage. It was expensive, but it was safe.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place. Happy following!

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

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

ProjectPro

SEPTEMBER 13, 2016

Tech Mahindra has its own Hortonworks certified analytics platform for big data solutions popularly known as TAP (Tech Mahindra Analytics Platform). TAP addresses the changing requirements of clients with a wide range of use cases in big data analytics.

Hadoop 40

Hadoop Big Data BI Kafka 40