- Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022 - Dec 14, 2021.
We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.
2022 Predictions, AI, Analytics, Cloud, Data Lake, Data Science, Data Warehouse, Deep Learning, Machine Learning, Synthetic Data
- The Seven Best ELT Tools for Data Warehouses - Dec 1, 2021.
ELT helps to streamline the process of modern data warehousing and managing a business’ data. In this post, we’ll discuss some of the best ELT tools to help you clean and transfer important data to your data warehouse.
Data Science Tools, Data Warehouse, ELT, ETL
- In-Warehouse Machine Learning and the Modern Data Science Stack - Jun 24, 2021.
As your organization matures its data science portfolio and capabilities, establishing a modern data stack is vital to enabling such growth. Here, we overview various in-data warehouse machine learning services, and discuss each of their benefits and requirements.
Amazon Redshift, Analytics, BigQuery, Cloud, Data Science, Data Warehouse, Machine Learning, Modern Data Stack
- BigQuery vs Snowflake: A Comparison of Data Warehouse Giants - Jun 3, 2021.
In this article we are going to compare the two topmost data warehouses: BigQuery and Snowflake.
BigQuery, Data Warehouse, Snowflake
- ETL in the Cloud: Transforming Big Data Analytics with Data Warehouse Automation - Apr 15, 2021.
Today, organizations are increasingly implementing cloud ETL tools to handle large data sets. With data sets becoming larger by the day, unified ETL tools have become crucial for data integration needs of enterprises.
Automation, Big Data, Big Data Analytics, Cloud, Data Analytics, Data Warehouse, ETL
- Cloud Data Warehouse is The Future of Data Storage - Jan 12, 2021.
Today, cloud data storage accounts for 45% of all enterprise data and by Q2 2021, that number could grow to 53%. Now is the time to embrace cloud than now.
Cloud, Data Warehouse, Data Warehousing
Meet whale! The stupidly simple data discovery tool - Dec 31, 2020.
Finding data and understanding its meaning represents the traditional "daily grind" of a Data Scientist. With whale, the new lightweight data discovery, documentation, and quality engine for your data warehouse that is under development by Dataframe, your data science team will more efficiently search data and automate its data metrics.
Data Curation, Data Discovery, Data Preparation, Data Warehouse
- Feature Store vs Data Warehouse - Dec 22, 2020.
A feature store is a data warehouse of features for machine learning. Differently from a data warehouse, it is dual-database: one serving features at low latency to online applications and another storing large volumes of features. Learn how Data Scientists leverage this capability in production-deployed models.
Data Warehouse, Databases, Feature Store, Pipeline
- 4 Myths of Big Data and 4 Ways to Improve with Deep Data - Jan 9, 2019.
There is a fundamental misconception that bigger data produces better machine learning results. However bigger data lakes / warehouses won’t necessarily help to discover more profound insights. It is better to focus on data quality, value and diversity not just size. "Deep Data" is better than Big Data.
Big Data, Data Lakes, Data Warehouse, Hype, Machine Learning, Sampling
- Why Data and Infrastructure are key to determining Customer Intent,
May 31 Webinar - May 22, 2018.
Join Yieldmo, an advertising technology company and learn how Snowflake and Looker unleashed the potential of their mobile ad engagement data and drove more impactful marketing for their clients.
Advertising, Data Infrastructure, Data Warehouse, Looker, Privacy
ETL vs ELT: Considering the Advancement of Data Warehouses - May 22, 2018.
The traditional concept of ETL is changing towards ELT – when you’re running transformations right in the data warehouse. Let’s see why it’s happening, what it means to have ETL vs ELT, and what we can expect in the future.
BigQuery, Data Warehouse, ELT, ETL, Statsbot
Are Data Lakes Fake News? - Sep 6, 2017.
The quick answer is yes, and the biggest problem is that the term “Data Lakes” has been overloaded by vendors and analysts with different meanings, resulting in an ill-defined and blurry concept.
Data Lakes, Data Warehouse, ETL, Fake News, Hadoop
- Webinar: Athena Health “Unbreaks” Health Care by Modernizing their Data Stack, Feb 28 - Feb 17, 2017.
With a new Snowflake data warehouse and Looker data platform on top, data analysts at athenahealth are delivering data to more people, and improving patient experience in the US healthcare system. Register and learn how.
Data Warehouse, Healthcare, Looker
- Big Data Key Terms, Explained - Aug 11, 2016.
Just getting started with Big Data, or looking to iron out the wrinkles in your current understanding? Check out these 20 Big Data-related terms and their concise definitions.
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3Vs of Big Data, Apache Spark, Big Data, Business Intelligence, Cloud Computing, Data Warehouse, Explained, Hadoop, Key Terms, Predictive Analytics
- Data Lake Plumbers: Operationalizing the Data Lake - Feb 18, 2016.
Gain insight into data lakes, their benefits, when they are appropriate, and how to operationalize them. How do they compare to the data warehouse?
Data Lake, Data Warehouse, ETL, Hadoop
- Data Lake vs Data Warehouse: Key Differences - Sep 29, 2015.
We hear lot about the data lakes these days, and many are arguing that a data lake is same as a data warehouse. But in reality, they are both optimized for different purposes, and the goal is to use each one for what they were designed to do.
Data Lake, Data Warehouse, SAS, Tamara Dull
- Data Lakes vs Data Warehouses - Jun 7, 2014.
Data Warehouses, traditionally popular for business intelligence tasks, are being replaced by less-structured Data Lakes which allow more flexibility.
Business Intelligence, Data Lakes, Data Science Platform, Data Visualization, Data Warehouse, DataRPM
