Найденные страницы с тегом hadoop всего 17269

MapReduce and YARN- Big Data University

MapReduce and YARN from Big Data University Apache Hadoop and You will also learn in MapReduce framework implementation, YARN

Информация: Ошибка: java.lang.ClassNotFoundException: org.apache.hadoop.hbase.util.Bytes – 3 Ответа

Я решаю это, зарегистрировав hbase в моем сценарии свиньи. РЕГИСТРАЦИЯ path/to/hbase/jar ... Вопрос по теме: java, hadoop, hbase.

Объединить содержимое файла во вложенных папках – 1 Ответ

hadoop fs -cat hdfs://nn1.example.com/out/*/results/part-* .i1a { width: 336px; height:... Вопрос по теме: java, hdfs, traversal.

What Is the Open Data Platform and What Is its Relation to Hadoop?

The Open Data Platform (ODP) is an industry-level initiative which focuses on strengthening the adoption of the Apache Hadoop ecosystem and further enabling big data solutions to flourish with the ecosystem. It builds on the...

Hadoop Analytics: Even Harder With External Sources

In my post, Hadoop Analytics: Not So Easy Across Multiple Data Sources, I discussed the issues organizations face when attempting to use Hadoop to store and analyze data from multiple internal sources. In this post, I’ll...

Kudu: A Game Changer in the Hadoop Ecosystem?

Kudu is a new open-source project which provides updateable storage. It is a complement to HDFS/HBase, which provides sequential and read-only storage. Kudu is more suitable for fast analytics on fast data, which is...

What Core Business Functions Can Benefit From Hadoop?

In recent years, it has become a ubiquitous fact that enterprises are struggling to find a way to deal with all the new data that is available at their disposal. Data is everywhere and it is being generated from all possible...

Hadoop Analytics: Combining Data Requires a Source-Agnostic Approach

Combing data sources in Hadoop is a complex business. Some of the reasons for this include: Custom, source-specific scripts that combine data sources are problematic. Using data integration or data science tools introduces...

Discovering Data Theft Using Hadoop and Big Data

Nowadays, the risk of data theft due to data exposure in companies and government agencies has increased drastically, with new cases being identified every day. This kind of data theft can be a huge blow to organizations, as...

What the $#@! Is Hadoop?

Everyone’s talking about Hadoop, the hot new technology that’s highly prized among developers and just might change the world (again). But just what is it, anyway? Is it a programming language? A database? A processing...

What are the Advantages of the Hadoop 2.0 (YARN) Framework?

Since the time the concept of big data was introduced, it has been going through multiple phases of evolution. Hadoop was introduced in 2005 with some initial features such as the MapReduce processing engine which allowed...

5 Ways to Get Value Out of Your Business Data

There's a lot of talk these days about what's involved in creating big data IT setups, from the use of Apache Hadoop and related tools to innovate accessibility, to conversations about technical ways to funnel data in and...

Big Data, Social Sciences and How to Change Negative Outcomes Into Positive Ones

Data volume is growing rapidly due to the use of mobile devices, social media and data from other unstructured sources. Big data technologies, such as Hadoop, are taking to the driver's seat in the business world by...

Video: Mike Olson, CEO of Cloudera, on Hadoop and Future Research Possibilities

As it is, says Cloudera CEO Mike Olson, the Hadoop analytics platform has some significant limitations involving speed and complexity. However, industry leaders - including those at his own firm - are working to change that, ...

Web Roundup: Big Data Debates, Security and the Heartbleed Bug

With the fast-pace growth of Hadoop, Cloudera, and other big data news, it can be hard to keep up with all the latest information coming out. Fortunately, you don’t have to. This week, we take a look at what’s being said in...

Operational Hadoop in Next-Generation Data Architecture

Most people associate Hadoop with processing big data, but operational Hadoop opens up numerous other possibilities for enterprise use.

Why Hadoop Is a Perfect Match for Genome Sequencing

Clinical genomics is a fascinating subject, where people are working on cutting-edge technologies to process quick and accurate results. There are a lot of genome sequencers available on the market, and they are producing...

What is the Influence of Open Source on the Apache Hadoop Ecosystem?

One of the main reasons the Hadoop ecosystem is such a big success is that it is a free and open big data software framework. Software developers can access and modify its source code to create their own big data products or...

7 Things to Know About Hadoop

What is Hadoop? It’s a yellow toy elephant. Not what you were expecting? How about this: Doug Cutting - co-creator of this open-source software project - borrowed the name from his son who happened to call his toy elephant...

Web Roundup: Wearables, Hadoop and Making Big Data and IoT More Accessible

The fun thing about technology is that it never stops progressing. This week, we take a closer look at some of the technology industry’s biggest expansions by IBM, Intel and the newly formed Industrial Internet Consortium...

How Can SQL on Hadoop Help with Big Data Analysis?

SQL on Hadoop is a group of analytical application tools that combine SQL-style querying and processing with the most recent Hadoop framework elements.

Machine Learning & Hadoop in Next-Generation Fraud Detection

Fraud is the leading cause of financial loss in the banking industry. However, Hadoop with machine learning has the potential to combat it.

Hadoop in Transition: From Proof-of-Concept to Production

Browse Techopedia’s selection of free whitepapers, presentation slides, reports and other resources for tech and business professionals:

Hadoop Analytics: Not So Easy Across Multiple Data Sources

Hadoop is a great place to offload data for analytics processing or to model larger volumes of a single data source that aren’t possible with existing systems. However, as companies bring data from many sources into Hadoop,...

The 10 Most Important Hadoop Terms You Need to Know and Understand

Big data, the catchy name for massive volumes of structured, unstructured or semi-structured data, is notoriously difficult to capture, store, manage, share, analyze and visualize, at least using traditional database and...

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