Waitingforcode

AUGUST 29, 2023

If Delta Lake implemented the commits only, I could stop exploring this transactional part after the previous article. But as for RDBMS, Delta Lake implements other ACID-related concepts. One of these are isolation levels.

130

130

KDnuggets

AUGUST 29, 2023

Join us at the MADS conference in Washington, D.C., from Sept. 26 to 28, 2023. Learn more here and register with code KDN100 for $100 of your conference pass.

Data Science 134

Data Science Coding Data 134

Towards Data Science

AUGUST 29, 2023

Data Quality Chronicles Missing data, missing mechanisms, and missing data profiling Missing Data prevents data scientists to see the entire story the data has to tell. Sometimes, even the smallest pieces of information can provide a completely unique view of the world. Photo by Ronan Furuta on Unsplash. Earlier this year, I started a piece on several data quality issues (or characteristics) that heavily compromise our machine learning models.

Datasets 109

Datasets Machine Learning Data Data Science 109

Workfall

AUGUST 29, 2023

Reading Time: 12 minutes Hey there, shopping savvy! Ever wished you could magically know when your favorite Amazon items go on sale? Guess what – we’ve cracked the code! Learn how to build your very own Amazon Price Tracker using Python. Imagine getting alerts right in your inbox when prices drop. Let’s dive in and make those savings dreams come true!

Python 93

Python Pipeline-centric Programming Language Coding 93

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

KDnuggets

AUGUST 29, 2023

Celebrate 30 years of data brilliance with us with an epic 30 for 30 Back to Study Giveaway with O'Reilly.

Data 114

Data 114

Engineering at Meta

AUGUST 29, 2023

At Meta, Bento is our internal Jupyter notebooks platform that is leveraged by many internal users. Notebooks are also being used widely for creating reports and workflows (for example, performing data ETL ) that need to be repeated at certain intervals. Users with such notebooks would have to remember to manually run their notebooks at the required cadence – a process people might forget because it does not scale with the number of notebooks used.

SQL 80

SQL Metadata Coding Data Analysis 80

Confluent

AUGUST 29, 2023

Apache Flink can be used for multiple stream processing use cases. Learn how developers can use Flink to build real-time applications, run analytical workloads or build real-time pipelines.

Process 70

Process Kafka Building 70

databricks

AUGUST 29, 2023

Check out our LLM Solution Accelerators for Retail for more details and to download the notebooks. While conversational AI has garnered a lot.

Retail 79

Retail 79

KDnuggets

AUGUST 29, 2023

And to unleash the power of AI in today’s world.

Project 112

Project Machine Learning Data Science Data 112

Confluent

AUGUST 29, 2023

Confluent deepens ties with Google Cloud, winning "Technology Partner of the Year" for Data & Analytics. This collaboration lets firms stream data into Google Cloud, emphasizing the vital role of cloud marketplaces for customer needs.

Google Cloud 52

Google Cloud Technology Cloud Data 52

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Confluent

AUGUST 29, 2023

Confluent deepens ties with Google Cloud, winning "Technology Partner of the Year" for Data & Analytics. This collaboration lets firms stream data into Google Cloud, emphasizing the vital role of cloud marketplaces for customer needs.

Google Cloud 52

Google Cloud Technology Cloud Data 52

Striim

AUGUST 29, 2023

We are proud to announce that Striim has successfully achieved Google Cloud Ready – Cloud SQL Designation for Google Cloud’s fully managed relational database service for MySQL, PostgreSQL, and SQL Server. This exciting new designation recognizes Striim’s unwavering partnership efforts with Google Cloud and the joint commitment to be part of a customer’s cloud adoption and app modernization journey and become instrumental in their business innovations.

Google Cloud 52

Google Cloud SQL Cloud Designing 52

Hevo

AUGUST 29, 2023

Adding to the Google Cloud Ready – BigQuery designation, Hevo Data has now also achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully managed relational database service for MySQL, PostgreSQL, and SQL Server.

Google Cloud 52

Google Cloud SQL Cloud Designing 52

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Confluent

AUGUST 29, 2023

Traditional, siloed systems don't work for customers expecting to do business in real time. Data streaming and cloud connect disparate systems for real-time experiences.

Google Cloud 52

Google Cloud Cloud SQL Systems 52

KDnuggets

AUGUST 29, 2023

New features and concepts.

Data Validation 86

Data Validation Data Data Science 86

Netflix Tech

AUGUST 29, 2023

by David Vroom, James Mulcahy, Ling Yuan, Rob Gulewich In this post we discuss Netflix’s adoption of service mesh: some history, motivations, and how we worked with Kinvolk and the Envoy community on a feature that streamlines service mesh adoption in complex microservice environments: on-demand cluster discovery. A brief history of IPC at Netflix Netflix was early to the cloud, particularly for large-scale companies: we began the migration in 2008, and by 2010, Netflix streaming was fully run o

Cloud 88

Cloud Architecture Java AWS 88

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. In baseball, each player’s role, whether it’s batting, fielding, or pitching, contributes to the outcome of the game.

Data Pipeline 52

Data Pipeline Pipeline-centric Database-centric Data Ingestion 52

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification