Hadoop

Latest Hadoop Articles

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  Technology Trends

  12 Key Tips for Learning Data Science

  Data scientist ranks as the best job for 2019 in America on Glassdoor. With a median base salary of $108,000 and a job satisfaction rank of 4.3 out of 5, plus a fair...

  By: Ariella Brown | Contributor

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  Technology Trends

  The Importance of Apache Flink in Processing Streaming Data

  Streaming data processing is an emerging area. It means processing the data almost instantly (with very low latency) when it is generated. Until now, most data...

  By: Kaushik Pal | Contributor

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  Technology Trends

  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...

  By: Kaushik Pal | Contributor

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  Technology Trends

  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...

  By: Kaushik Pal | Contributor

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  Technology Trends

  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...

  By: Kaushik Pal | Contributor

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  Technology Trends

  Operational Hadoop in Next-Generation Data Architecture

  Hadoop’s utility is starting to go beyond big data processing and analytics as the industry comes to demand more from it. Hadoop is steadily catering to diverse...

  By: Kaushik Pal | Contributor

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  Technology Trends

  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...

  By: Kaushik Pal | Contributor

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  Technology Trends

  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 of data with the most recent Hadoop data framework elements. The...

  By: Kaushik Pal | Contributor

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  Technology Trends

  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...

  By: Jenn Reed

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  Technology Trends

  Webcast: Connecting the Dots Within Hadoop

  As reality sets in, many organizations realize that the data lake concept is incomplete. Somehow, order must be woven into the picture. Discovery must be enabled. And...

  By: Techopedia Staff

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  Technology Trends

  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,...

  By: Jenn Reed

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  Technology Trends

  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....

  By: Jenn Reed