Data Data Pipeline Database-centric Pipeline-centric 
Monte Carlo
MAY 30, 2024
Generative AI has the potential to transform your business and your data engineering team, but only when it’s done right. So how can your data team actually drive value with your LLM or GenAI initiative? Data retrieval: Based on the query, the RAG system searches the database to find relevant data.
Ascend.io
AUGUST 29, 2023
A star-studded baseball team is analogous to an optimized “end-to-end data pipeline” — both require strategy, precision, and skill to achieve success. Just as every play and position in baseball is key to a win, each component of a data pipeline is integral to effective data management.
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Data Engineering Podcast
APRIL 7, 2019
Summary How much time do you spend maintaining your data pipeline? This was a fascinating conversation with someone who has spent his entire career working on simplifying complex data problems. Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams.
Data Engineering Weekly
MARCH 3, 2024
RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.
Ascend.io
MAY 31, 2023
In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.
Cloudera
SEPTEMBER 17, 2020
For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. CDP data lifecycle integration and SDX security and governance. Enterprise Data Engineering From the Ground Up.
DareData
JULY 29, 2020
The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer.
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