2016 Big Data Data Engineering 
TechCrunch
APRIL 11, 2023
CEO Tatiana Krupenya says that it’s an administrative tool that allows anyone to access data from a variety of sources. Krupenya says this capability puts data administration in reach of not just the most technical data engineers, but also people in other lines of business roles, who normally might not have access to tools like this. “So
TechCrunch
FEBRUARY 24, 2021
, and millions and perhaps billions of calls flung at the database server, data science teams can no longer just ask for all the data and start working with it immediately. Big data has led to the rise of data warehouses and data lakes (and apparently data lake houses ), infrastructure to make accessing data more robust and easy.
TechCrunch
MARCH 22, 2021
So out of that frustration, I decided to develop an internal tool that was actually quite usable and in 2016, I decided to turn it into an actual company. . “I was using tools like Tableau and Alteryx, and it was really hard to glue them together — and they were quite expensive.
Hu's Place - HitachiVantara
MAY 10, 2019
DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective. A 2016 CyberSource report claimed that over 90% of online fraud detection platforms use transaction rules to detect suspicious transactions which are then directed to a human for review.
Altexsoft
FEBRUARY 10, 2021
Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.
CTOvision
MARCH 1, 2016
HDF is a data-in-motion platform for real-time streaming of data and is a cornerstone technology for the Internet of Anything to ingest data from any source to any destination. now integrates streaming analytics engines Apache Kafka and Apache Storm for delivering actionable intelligence. will be available in Q1 of 2016.
Hu's Place - HitachiVantara
JANUARY 3, 2019
In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.
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