Latest Hadoop Articles
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
Tech moves fast! Stay ahead of the curve with Techopedia!
Join nearly 200,000 subscribers who receive actionable tech insights from Techopedia.