KDnuggets
DECEMBER 21, 2022
The tutorial will introduce you to the scikit-learn module and its various features. It will also give you a brief overview of the multiclass classification problem through various algorithms.
U-Next
DECEMBER 21, 2022
Introduction. Are you a Cybersecurity enthusiast looking to know the latest trends and goings in the cybersecurity industry? Or are you just a tech enthusiast who likes to be updated with the ongoings around them? Then you are at the perfect place. As another year comes to an end, we decided the best way to look back was to revisit the most popular and sought-after blogs of Cybersecurity and list the same for all our Cybersecurity enthusiasts.
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Cloudera
DECEMBER 21, 2022
Holiday season is a time to reflect on your year and support those less fortunate than yourself. . Clouderans made a global impact by running a number of donation activities and local giving events to celebrate the season of giving. . November 29: Giving Tuesday—Global . Giving Tuesday, a day dedicated to donations and giving back, is the Tuesday after Thanksgiving in the US.
Data Engineering Weekly
DECEMBER 21, 2022
The Rise of Data Modeling Data modeling has been one of the hot topics in Data LinkedIn. Hadoop put forward the schema-on-read strategy that leads to the disruption of data modeling techniques as we know until then. We went through a full cycle that “schema-on-read ” led to the infamous GIGO (Garbage In, Garbage Out) problem in data lakes, as noted in this What Happened To Hadoop retrospect.
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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.
Acceldata
DECEMBER 21, 2022
Learn how data observability helps companies reduce their Snowflake costs by improving the efficiency of their cloud resources, forecasting how much they’ll spend, and optimizing their performance.
Striim
DECEMBER 21, 2022
As a data architect, business intelligence professional, or Chief Technical Officer, you know how important it is to have access to real-time data streaming to make the most informed decisions for your organization. That’s where Striim comes in. One of the biggest benefits of using Striim is the ability to easily integrate with a variety of data sources, including databases, message queues, data warehouses, sensors, and files.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Precisely
DECEMBER 21, 2022
In insurance, data is everything. Accurate, consistent, and contextualized data enables faster, more confident decisions when it comes to your underwriting, claims processing, risk assessments, and beyond. Let’s explore the impact of data in this industry as we count down the top 5 insurance blog posts of 2022. #5 3 Steps to Increase Insurance Claims Satisfaction In the insurance world, a good digital CX is a distinct competitive advantage.
databricks
DECEMBER 21, 2022
The Databricks Media & Entertainment Symposium brought together industry leaders to discuss the evolving role data and technology play in acquiring, engaging and.
Acceldata
DECEMBER 21, 2022
Got Hortonworks or Cloudera?
ThoughtSpot
DECEMBER 21, 2022
We’re in the defining decade of data. Data underpins the technologies transforming how we work, communicate, socialize and buy. If you want to take part in the revolution, you need to become—or hire—a data leader. But what does that even mean? What sets data leaders apart from the average data-aware professional? And how can we become data leaders?
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.
Tweag
DECEMBER 21, 2022
One common complaint from industrial users of Haskell is that of compilation times: they are sometimes painfully slow. Some of that slowness is difficult to avoid—no matter how you slice it, typechecking and optimizing Haskell code takes a lot of work—but nobody would argue that there is not ample room for improvement. For the past few months, Krzysztof Gogolewski and I have had the opportunity to work with Mercury to identify what some of those improvements might be, and I am pleased to report
Ascend.io
DECEMBER 21, 2022
Solution eliminates the cost of loading and syncing data from all sources within the Ascend platform, allowing teams to focus on accelerating business value. MENLO PARK, Calif. , Dec. 21, 2022 – Ascend.io , The Data Automation Cloud, today announced they have partnered with Snowflake , the Data Cloud company, to launch Free Ingest , a new feature that will reduce an enterprise’s data ingest cost and deliver data products up to 7x faster by ingesting data from all sources into the Snow
Ascend.io
DECEMBER 21, 2022
The last three years have seen a remarkable change in data infrastructure. ETL changed towards ELT. Now, data teams are embracing a new approach: reverse ETL. Cloud data warehouses, such as Snowflake and BigQuery, have made it simpler than ever to combine all of your data into one location. Today, data teams build ELT pipelines to load the data. After, they leverage the power of the cloud warehouse to perform deep analysis, build predictive models, and feed BI tools and dashboards.
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