article thumbnail

Functional Data Engineering - A Blueprint

Data Engineering Weekly

Hadoop put forward the schema-on-read strategy that leads to the disruption of data modeling techniques as we know until then. We went through a full cycle that “schema-on-read ” led to the infamous GIGO (Garbage In, Garbage Out) problem in data lakes, as noted in this What Happened To Hadoop retrospect.

article thumbnail

Industry Interview Series- How Big Data is Transforming Business Intelligence?

ProjectPro

Solocal has taken big data to the next stage of BI by designing a novel vision of BI with the open source distributed computing framework Hadoop. It replaced its traditional BI structure by integrating big data and Hadoop."-April Then there is the Access layer to bring the reports to the end users. So what is BI? So what is BI?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Hadoop 2.0 (YARN) Framework - The Gateway to Easier Programming for Hadoop Users

ProjectPro

Hadoop (Hadoop 1.0) has progressed from a more restricted processing model of batch oriented MapReduce jobs to developing specialized and interactive processing models (Hadoop 2.0). With the advent of Hadoop 2.0, In this piece of writing we provide the users an insight on the novel Hadoop 2.0 to Hadoop 2.0.

Hadoop 40
article thumbnail

Cloud Native: What It Means in the Data World

Rockset

Hadoop and RocksDB are two examples I’ve had the privilege of working on personally. The falling price of SATA disks in the early 2000s was one major factor for the popularity of Hadoop, because it was the only software that could cobble together petabytes of these disks to provide a large-scale storage system.

Cloud 40
article thumbnail

Big Data Timeline- Series of Big Data Evolution

ProjectPro

Here’s a look at important milestones, tracking the evolutionary progress on how data has been collected, stored, managed and analysed- 1926 – Nikola Tesla predicted that humans will be able to access and analyse huge amounts of data in the future by using a pocket friendly device. 1937 - Franklin D.

article thumbnail

20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

When any particular project is open-sourced, it makes the source code accessible to anyone. To contribute, proceed to: [link] Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 6. The Apache CouchDB database was first released in 2005 by the Apache Software Foundation.