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] ) Hadoop 3.0 Likely to Arrive Before Christmas.

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Hadoop Big Data Machine Learning Datasets 52

Data Engineering Podcast

NOVEMBER 20, 2021

In this episode Ori Rafael shares his experiences from Upsolver and building scalable stream processing for integrating and analyzing data, and what the tradeoffs are when coming from a batch oriented mindset. Batch and streaming systems have been used in various combinations since the early days of Hadoop.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Knowledge Hut

JANUARY 16, 2024

Look at the stats that show a positive trend for machine learning projects and careers. High-profile companies such as Univa, Microsoft, Apple, Google, and Amazon have invested millions of dollars in machine learning research and designing and are developing their future projects on it. Who Is a Machine Learning Engineer?

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ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

Data Engineering Podcast

OCTOBER 14, 2018

Summary With the growth of the Hadoop ecosystem came a proliferation of implementations for the Hive table format. Unfortunately, with no formal specification, each project works slightly different which increases the difficulty of integration across systems. Is there a migration path for pre-existing tables into the Iceberg format?

Data Lake 100

Data Lake Big Data Cloud Hadoop 100

Cloudera

SEPTEMBER 7, 2022

As I look forward to the next decade of transformation, I see that innovating in open source will accelerate along three dimensions — project, architectural, and system. These are innovations by developers, for developers, and as adoption of OSS projects has grown, innovation at the project level has accelerated sharply.

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Big Data Ecosystem Hadoop Big Data Architecture 111

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?

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Hadoop NoSQL Java Electronics 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. Data scientists and data Analysts depend on data engineers to build these data pipelines. What is the role of a Data Engineer?

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ProjectPro

OCTOBER 27, 2014

Hadoop is present in all the vertical industries today for leveraging big data analytics so that organizations can gain competitive advantage. With petabytes of data produced from transactions amassed on regular basis, several banking and financial institutions have already shifted to Hadoop.

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Hadoop Finance Banking Portfolio 52

Data Engineering Podcast

MAY 18, 2021

In order to eliminate the wasted effort of building custom integrations every time you want to combine lineage information across systems Julien Le Dem introduced the OpenLineage specification. When it comes to serving data for AI and ML projects, do you feel like you have to rebuild the plane while you’re flying it across the ocean?

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Metadata Kafka Data Warehouse Hadoop 100

ProjectPro

NOVEMBER 1, 2016

News on Hadoop-October 2016 Microsoft upgrades Azure HDInsight, its Hadoop Big Data offering.SiliconAngle.com,October 2, 2016. product Azure HDInsight is a managed Hadoop service that gives users access to deploy and manage hadoop clusters on the Azure Cloud. Microsoft and Hortonworks Inc.

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Hadoop NoSQL Big Data SQL 40

Knowledge Hut

JANUARY 9, 2024

Furthermore, via hands-on projects, applicants learn the ways to utilize public cloud computing platforms like Microsoft Azure and Amazon Web Services (AWS). It discusses the definition of cloud computing, its evolution, pros, cons, and challenges. Additionally, students solve problems using AWS resources within a specific price limit.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. They should be able to use AWS services to design, build, secure, and maintain analytics solutions. through real-time projects and case studies.

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Big Data Certification Hadoop Scala 52

ProjectPro

NOVEMBER 6, 2015

Hadoop has continued to grow and develop ever since it was introduced in the market 10 years ago. Every new release and abstraction on Hadoop is used to improve one or the other drawback in data processing, storage and analysis. Apache Hive is an abstraction on Hadoop MapReduce and has its own SQL like language HiveQL.

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Hadoop SQL Java Metadata 52

ProjectPro

JUNE 30, 2016

This blog post gives an overview on the big data analytics job market growth in India which will help the readers understand the current trends in big data and hadoop jobs and the big salaries companies are willing to shell out to hire expert Hadoop developers. It’s raining jobs for Hadoop skills in India.

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Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

NOVEMBER 30, 2021

Your search for business analyst project examples ends here. This blog contains sample projects for business analyst beginners and professionals. So, continue reading this blog to know more about different business analyst projects ideas. Project Idea: Mercari is a community-driven electronics-shopping application in Japan.

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Business Analyst Project Retail Datasets 52

AltexSoft

OCTOBER 21, 2022

What does the high-performance data project have to do with the real Franz Kafka’s heritage? Plus the name sounded cool for an open-source project.”. Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. Today, it remains the only language of the main Kafka project.

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Kafka Hadoop ETL Tools Big Data 93

Data Engineering Podcast

APRIL 27, 2020

With so many different opinions about which pieces of information are most important, how it needs to be accessed, and what to do with it, many data projects are doomed to failure. How do you approach the definition of useful interfaces between different roles or groups within an organization?

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Hadoop Data Workflow Data Engineering Data Engineer 100

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.

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Hadoop Architecture IT Java 52

ProjectPro

JULY 13, 2015

billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data.

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Hadoop Big Data Data Analytics Banking 52

ProjectPro

JUNE 5, 2015

“What is Hadoop?” ” might seem a simple question but the answer to this question is not so simple because over the time Hadoop has grown into a complex ecosystem of various competitive and complementary projects. The path to learning hadoop is steep but using Hadoop framework successfully is not so easy.

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Hadoop Big Data Datasets Media 40

ProjectPro

MAY 13, 2016

Hadoop is the most talked about innovation in the IT industry that has shaken the entire data centre infrastructure at many organizations. As the appetite for Hadoop and related big data technologies grows at an exponential rate, it is not out to spell the death of data warehousing. ”- Alisdair Anderson said at a Hadoop Summit.

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Data Warehouse Hadoop Unstructured Data Big Data 40

Data Engineering Podcast

NOVEMBER 23, 2020

With the growth in projects, platforms, and services that aim to help you establish and maintain control of the health and reliability of your data pipelines it can be overwhelming to stay up to date with how they all compare. What are you building at Bigeye and how did it get started? When is Bigeye the wrong choice?

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Hadoop Data Pipeline BI Data 100

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. then you are on the right page.

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ETL Tools Hadoop Relational Database Unstructured Data 52

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. You should be able to work outside your comfort zone and take on projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

APRIL 26, 2024

Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data. Suppose you work in a telephone company, for instance, and you are expected to set up a network by building towers in an area.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

ProjectPro

FEBRUARY 4, 2016

We know that big data professionals are far too busy to searching the net for articles on Hadoop and Big Data which are informative and factually accurate. We have taken the time and listed 10 best Hadoop articles for you. To read the complete article, click here 2) How much Java is required to learn Hadoop?

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Hadoop Java Retail Big Data 40

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.

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Hadoop Big Data Banking Consulting 40

ProjectPro

FEBRUARY 16, 2023

Today, the Apache Spark project has over 1,000 contributors from over 250 companies worldwide. Whether you're looking to expand your knowledge or get a head start on a big data project, our blog has got you covered. The book also covers additional big data tools such as Hive, HBase, and Hadoop for a better understanding.

Big Data 52

Big Data Scala Machine Learning Hadoop 52

Cloudera

MARCH 9, 2021

Just like CDP itself, SDX is built on community open source projects with Apache Ranger and Apache Atlas taking pride of place. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets. can be derived from a supertype definition.

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Data Governance Government Metadata Datasets 95

AltexSoft

OCTOBER 30, 2021

Data scientists today are business-oriented analysts who know how to shape data into answers, often building complex machine learning models. They’re integral specialists in data science projects and cooperate with data scientists by backing up their algorithms with solid data pipelines. Building data visualizations.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

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. That’s how Hadoop will make a delicious enterprise main course for a business.

Hadoop 40

Hadoop Big Data Technology Big Data Tools 40

Cloudera

OCTOBER 3, 2018

First, remember the history of Apache Hadoop. Doug Cutting and Mike Cafarella were working together on a personal project, a web crawler, and read the Google papers. The two of them started the Hadoop project to build an open-source implementation of Google’s system.

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Hadoop Cloud Data Storage Big Data 75

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. Table of Contents How SAP Hadoop work together?

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Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

MAY 11, 2015

Is Hadoop easy to learn? For most professionals who are from various backgrounds like - Java, PHP,net, mainframes, data warehousing, DBAs, data analytics - and want to get into a career in Hadoop and Big Data, this is the first question they ask themselves and their peers. Table of Contents How much Java is required for Hadoop?

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Java Hadoop Programming Language Bytes 40

ProjectPro

MARCH 29, 2016

Cracking a Hadoop Admin Interview becomes a tedious job if you do not spend enough time preparing for it.This article lists top Hadoop Admin Interview Questions and Answers which are likely to be asked when being interviewed for Hadoop Adminstration jobs. Table of Contents How to prepare for a Hadoop Admin Interview?

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Hadoop Big Data Portfolio Utilities 40

ProjectPro

MARCH 21, 2016

The answer is definitely a resounding YES. Using Hadoop distributed processing framework to offload data from the legacy Mainframe systems, companies can optimize the cost involved in maintaining Mainframe CPUs. However, to manage the same amount of data on Hadoop –it costs $1000 to $4000.

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