Cloudera

AUGUST 26, 2021

Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. The object store is readily available alongside HDFS in CDP (Cloudera Data Platform) Private Cloud Base 7.1.3+. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 107

Data Science Cloud Hadoop Metadata 107

ProjectPro

JANUARY 2, 2018

News on Hadoop - December 2017 Apache Impala gets top-level status as open source Hadoop tool.TechTarget.com, December 1, 2017. The massively parallel processing engine born at Cloudera acquired the status of a top-level project within the Apache Foundation. Source : [link] ) 4 Big Data Trends To Watch In 2018.

Hadoop 52

Hadoop Big Data Datasets Machine Learning 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

Knowledge Hut

SEPTEMBER 25, 2023

In today's digital age, data is the lifeblood of any successful business. With the ever-growing importance of data, individuals with expertise in data analysis are in high demand, and a plethora of exciting job opportunities await them. What is Data Analyst Certification? Is Data Analyst Certification worth it?

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

MAY 12, 2016

Big Data has found a comfortable home inside the Hadoop ecosystem. Hadoop based data stores have gained wide acceptance around the world by developers, programmers, data scientists, and database experts. It also supports user-defined functions and allows processing of compressed data.

Hadoop 40

Hadoop SQL Business Intelligence Java 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. Impala is an open source SQL query engine developed after Google Dremel.

Hadoop 40

Hadoop SQL NoSQL Kafka 40

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Table of Contents How working on Hadoop projects will help professionals in the long run?

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

MAY 2, 2016

But there are so many developments still happening on Hadoop – which makes it the goto technology in open source for data analysis and storage. ZDNet.com Most companies know what Hadoop is used for – but more often than not – they fail to implement it correctly causing loss of time and data that is crucial to business needs.

Hadoop 52

Hadoop NoSQL Hospitality Big Data 52

ProjectPro

FEBRUARY 8, 2017

"Data and analytics are already shaking up multiple industries, and the effects will only become more pronounced as adoption reaches critical mass.” ” said the McKinsey Global Institute (MGI) in its executive overview of last month's report: "The Age of Analytics: Competing in a Data-Driven World."

Big Data 40

Big Data Hadoop Data Lake Data Governance 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

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

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

JANUARY 12, 2016

However, choosing the right Hadoop Distribution for business needs leads to faster data driven solutions and helps your organization gain traction from best people in the industry. Organizations that want to adopt big data solutions to pace up with the massive growth of data from disparate sources.

Hadoop 52

Hadoop Big Data Metadata Java 52

ProjectPro

NOVEMBER 1, 2016

News on Hadoop-October 2016 Microsoft upgrades Azure HDInsight, its Hadoop Big Data offering.SiliconAngle.com,October 2, 2016. Microsoft has upgraded this cloud based platform with new security enhancements and a performance boost that the company states will speed up Big Data queries 25x. Microsoft and Hortonworks Inc.

Hadoop 40

Hadoop NoSQL Big Data SQL 40

ProjectPro

FEBRUARY 29, 2016

InformationWeek.com At the 10th birthday of Hadoop, which is fast becoming everyone’s favorite big data technology – is gearing up for enterprise wide adoption. CMSWire.com When Apache Hive 1.2 After that every new version that was released like Spark MLib, Impala Project all supported the Hadoop SQL dialects.

Hadoop 40

Hadoop Banking Deep Learning Big Data 40

ProjectPro

JULY 3, 2015

There are some tech buzzwords like SAP that have been more predominant than “Big Data” Companies can analyse structured big data in real time with in-memory technology. 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

NOVEMBER 7, 2016

We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. The tiny toy elephant in the big data room has become the most popular big data solution globally. Hadoop Architecture FAQs on Hadoop Architecture 1. every millisecond?

Hadoop 40

Hadoop Architecture IT Big Data 40

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

Cloudera

SEPTEMBER 7, 2022

We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers.

Big Data Ecosystem 107

Big Data Ecosystem Hadoop Big Data Architecture 107

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Rockset supports JDBC and integrates with other SQL dashboards like Tableau, Grafana, and Apache Superset.

Kafka 21

Kafka BI SQL Datasets 21

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. Processes structured data. Give example.

Hadoop 40

Hadoop Big Data Metadata Java 40

Cloudera

FEBRUARY 8, 2024

Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time.

Metadata 87

Metadata Data Warehouse BI AWS 87

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business. Project CloudCost — design.

Cloud 84

Cloud IT Data Warehouse AWS 84

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up.

Metadata 142

Metadata Coding SQL Database 142

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Cloudera

DECEMBER 12, 2018

I was part of this migration project, and then after undergrad, I went on to be a software engineer for a utility company, who was using DB2 on the mainframe and migrating to Oracle on Unix. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.

Data Warehouse 41

Data Warehouse Relational Database Hadoop BI 41

Cloudera

OCTOBER 3, 2018

First, remember the history of Apache Hadoop. Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. Doug Cutting and Mike Cafarella were working together on a personal project, a web crawler, and read the Google papers.

Hadoop 75

Hadoop Cloud Data Storage Big Data 75

Cloudera

DECEMBER 18, 2017

“Becoming data-driven is a multi-year journey, not a simple implementation.” Acquiring and using data in a way that simply wasn’t possible up until very recently, requires a huge cultural shift. A revolution where machines will be able to use data to automate decision making much more accurately than humans ever could.

Hadoop 40

Hadoop Business Analyst Machine Learning Media 40