Rockset
JULY 22, 2022
Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. NoSQL is great for well understood access patterns. Don’t blindly dump data into a NoSQL system.
Knowledge Hut
JANUARY 18, 2024
It came out in 2009 when Google introduced it to the world. Like MATLAB, SAS also loses the crown to Python and R language regarding accessibility. For new consumers and companies, this provides a barrier to access, making them more likely to choose easily accessible languages like Java or C++.
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Knowledge Hut
JANUARY 18, 2024
It came out in 2009 when Google introduced it to the world. Like MATLAB, SAS also loses the crown to Python and R language regarding accessibility. For new consumers and companies, this provides a barrier to access, making them more likely to choose easily accessible languages like Java or C++.
Rockset
NOVEMBER 1, 2018
This impedance mismatch between dynamically typed languages and SQL's static typing has driven development away from SQL databases and towards NoSQL systems. It's easier to build apps on NoSQL systems, especially early on, before the data model stabilizes. What's Wrong with SQL's Static Typing? What's the Alternative?
ProjectPro
MAY 2, 2016
PR Newswire The global market for Hadoop is growing exponentially since its inception in 2009 for managing big data because of its cost-effectiveness and low maintenance charges over other data frameworks. html ) Enterprise hits and misses – NoSQL marches on, and Hadoop tries to grow up. April 25, 2016. April 25, 2016.
ProjectPro
AUGUST 26, 2015
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. zettabytes.
ProjectPro
JANUARY 19, 2022
Making raw data more readable and accessible falls under the umbrella of a data engineer’s responsibilities. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization What do Data Engineers do? That needs to be done because raw data is painful to read and work with.
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