Knowledge Hut
MAY 2, 2024
Here come the frameworks like Apache Spark and MapReduce to our rescue and help us to get deep insights into this huge amount of structured, unstructured, and semi-structured data and make more sense of it. Both technologies have their own pros and cons as we will see below. You name the industry and it's there.
Knowledge Hut
NOVEMBER 28, 2023
The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data.
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Ascend.io
JULY 17, 2023
If you work with data, you’ll have come across the term data mesh by now. This decentralized but interconnected approach to structuring data has become increasingly popular since the term was coined by Zhamak Dehghani 4 years ago. There’s no return to the old days of siloed data warehouses.
Knowledge Hut
JANUARY 18, 2024
The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. Python libraries such as pandas, NumPy, plotly, etc.
Rockset
FEBRUARY 24, 2023
Lastly, and perhaps most importantly, streaming data is unique because it’s high-velocity and high volume, with an expectation that the data is available to be used in the database very quickly after the event has occurred. Streaming data has been around for decades. Today, streaming data is everywhere.
ProjectPro
SEPTEMBER 26, 2021
Several industries across the globe are using Big Data tools and technology in their processes and operations. According to a study, the Big Data market in the banking sector will reach $62.10 Healthcare is another primary application area of Big Data analytics , and its market will touch $67.82 billion by 2025.
ProjectPro
SEPTEMBER 26, 2014
The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.
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