Fri.Apr 12, 2024

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Databricks Doubles Cost. Reddit Explodes. I’m in Trouble!

Confessions of a Data Guy

I recently did a post on Linkedin and Reddit about Databricks removing Standard Tier and forcing folks into Unity Catalog. The post got big traction and blew up, more than I thought. Enough for the Databricks folk to hunt me down at work and tell me I’m naughty. I will be writing a more in-depth […] The post Databricks Doubles Cost. Reddit Explodes.

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Data News — Week 24.15

Christophe Blefari

The fest we deserve ( credits ) I hope this Data News finds you well. In today's edition we have a large selection of links, I think you will enjoy it. But first I want to welcome all the new members joining this week after my new episode on DataGen with Robin Conquet. This is an episode in French and we talked mainly about the eventual end of the modern data stack.

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Common Pitfalls of Data Analytics Projects

Seattle Data Guy

Have you ever been part of a data or software project that seems stuck in a loop? Three weeks have passed, and although you arrive at work daily, exhausted, having tackled numerous issues, the project remains stagnant. Why? Then, suddenly, a new engineer or project manager steps in, reorganizes and prioritizes tasks, and just like… Read more The post Common Pitfalls of Data Analytics Projects appeared first on Seattle Data Guy.

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7 Steps to Mastering Data Engineering

KDnuggets

The only data engineering roadmap you need for an introduction to concepts, tools, and techniques to collect, store, transform, analyze, and model data.

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Get Better Network Graphs & Save Analysts Time

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.

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Project Management Organizational Structure: Types & Examples

Knowledge Hut

Project management plays a significant role in the success of every organization. It ensures that the project is on track, aids in efficient management of resources, and also keeps the stakeholders know what is project and what's happening in it. In this blog, we will look at three different project organizational structures: functional, matrix, and process.

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Multi-Scale Contour Styling in ArcGIS Pro

ArcGIS

How to configure scale-appropriate contour lines and their labels.

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More Trending

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Mastering Model Retraining in MLOps

RandomTrees

Model retraining is a critical component of any robust MLOps stack, playing a fundamental role in ensuring the longevity and effectiveness of machine learning models. In this blog, we delve into the intricacies of model retraining, exploring its significance, various approaches, triggers, and best practices to empower organizations in mastering this essential component of MLOps.

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Top 8 CISSP Domains Explained To Crack CISSP Exam in 2024

Edureka

Framed for cyber security professionals, the Certified Information Systems Security Professional exam or CISSP is a globally recognised certification. CISSP certification offered by ISSAP First held in 1994 by the International Information Systems Security Certification Consortium, this certification examination has undergone many changes through the years to match the latest needs of cyber security.

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Snowflake vs Redshift: 6 Critical Differences

Hevo

Huge performance-boosting opportunities await those who choose the optimal data warehouse for their business. Identifying custom data points that steer your organizations’ successful outcomes is crucial. Decision-making is optimized through sophisticated means of accessing and analyzing your company’s data.

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Credit Consumption Notification by Role

Cloudyard

Read Time: 1 Minute, 54 Second Imagine you’re responsible for overseeing the usage of Snowflake credits across different roles within your organization. You need a streamlined way to monitor credit consumption by role over specific periods to identify any anomalies or trends. This stored procedure, SendEmailWithCreditDetails , automates the process of notifying users about Snowflake credit usage within a specified timeframe.

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Understanding User Needs and Satisfying Them

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.

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Amazon AppFlow: 3 Comprehensive Aspects

Hevo

Many companies build their Data Analytics, Data Backup, and Operational Intelligence infrastructures on Amazon’s web services such as Amazon S3 and Redshift.

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Amazon Redshift vs Druid: 8 Critical Differences

Hevo

More data has been created in the past two years than was ever created in human history. With the exploding volumes of data, people are now looking for data warehouse solutions, which can benefit them in terms of performance, cost, security, and durability.

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Redshift vs BigQuery: 7 Critical Differences

Hevo

As analytics in your company graduates from a MySQL/PostgreSQL/SQL Server, a pertinent question that you need to answer is which data warehouse is best suited for you. This blog tries to compare Redshift vs BigQuery – two very famous cloud data warehouses today.

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Salesforce ETL: 2 Easy Methods

Hevo

Organizations are constantly on the lookout for simple solutions to integrate their company data from several sources into a centralized location, then analyze it to make informed decisions. This process is termed Data Integration. One of the most popular Data Integration techniques is ETL (Extract, Transform and Load).

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Is Your Data Speaking to You? Real Time Anomaly Detection Helps You Listen Effectively

Hevo

About the Author Mona Rakibe is the co–founder, and CEO of Telmai, a low-code data reliability platform designed for open architecture, i.e., any batch/streaming source of your data pipeline. Mona is a veteran in data space, and before starting Telmai, she headed product management at Reltio, a cloud-based master data management company.

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Adroll Salesforce Integration: Streamlined Marketing through Quick Data Migration

Hevo

In today’s fast-paced world, businesses always seek opportunities to expand operations using automated tools and platforms. Adroll and Salesforce are effective cloud-based platforms that help you market your products and services with advanced functions and algorithms.

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Mastering ETL Security: Essential Challenges and Expert Solutions

Hevo

According to Expert Market Research, the global big data & Analytics market is expected to grow at a CAGR of 10%. This report also forecasts that the global investment in big data and analytics will reach $450 Billion by 2026.

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3 Ways to Bucket Data in SQL During ETL

Hevo

ETL processes often involve aggregating data from various sources into a data warehouse or data lake. Bucketing can be used during the transformation phase to aggregate data into predefined buckets or intervals. For example, you might want to aggregate daily sales data into monthly buckets or hourly sensor readings into daily buckets.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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SQL Server Azure Synapse: Swift Ways to Conduct Data Migration

Hevo

sources using multiple techniques. This data can be thoroughly analyzed to gain valuable insights that optimize business performance. There are various tools and platforms that facilitate data storage and analysis. SQL Server and Azure Synapse are potent and robust platforms that help you comprehensively analyze your business data and develop innovative solutions.

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