Wed.Dec 04, 2024

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How to Export Dataframes to CSV in Jupyter Notebook?

Analytics Vidhya

DataFrames are one of the most popular data structures for handling and analyzing tabular data in data science and analytics. Python libraries like pandas provide robust tools for working with DataFrames, allowing data manipulation, transformation, and visualization. Once the analysis is complete, it’s often necessary to export DataFrames to a CSV (Comma-Separated Values) file for […] The post How to Export Dataframes to CSV in Jupyter Notebook?

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7 Projects to Master Data Engineering

KDnuggets

Learn to build, run, and manage data engineering pipelines both locally and in the cloud using popular tools.

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How To Create and Use.env Files in Python?

Analytics Vidhya

In modern Python development, securely managing configuration settings, API keys, and sensitive data is essential. This is where.env files come into play.env files provide a structured and secure way to manage environment variables, ensuring that your sensitive data is not hardcoded into the source code. In this guide, we’ll dive deep into creating […] The post How To Create and Use.env Files in Python?

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Getting Started with MongoDB: Installation and Setup Guide

KDnuggets

MongoDB is a database that’s great for handling large amounts of diverse data. This article walks you through installing MongoDB and using the MongoDB Shell to manage your data easily.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Top 10 AI Agent Trends and Predictions for 2025

Analytics Vidhya

The rapid development of artificial intelligence (AI) has led to a transformative shift across industries. Among the many advancements in AI, agents stand out as a cornerstone of innovation, reshaping industries, enhancing user experiences, and driving automation to new heights. These autonomous virtual machines have already found their place in customer service, healthcare, finance, and […] The post Top 10 AI Agent Trends and Predictions for 2025 appeared first on Analytics Vidhya.

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Author visual ETL flows on Amazon SageMaker Unified Studio (preview)

AWS Big Data

Amazon SageMaker Unified Studio (preview) provides an integrated data and AI development environment within Amazon SageMaker. From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. This experience includes visual ETL, a new visual interface that makes it simple for data engineers to author, run, and monitor extract, transform, load (ETL) data integration flow.

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5 Free Resources to Understand Neural Networks

KDnuggets

Here are five free resources in diverse formats and difficulty levels to acquaint with deep learning models at no cost.

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AWS re:Invent 2024: Next-Gen Innovations in AI, Cloud & Data

Analytics Vidhya

The AWS re:Invent 2024 event was packed with exciting updates in cloud computing, AI, and machine learning. AWS showed just how committed they are to helping developers, businesses, and startups thrive with cutting-edge tools. This year’s event focused on how AWS’s vision is shaping the way organizations tackle challenges, scale seamlessly, and adopt sustainable solutions. […] The post AWS re:Invent 2024: Next-Gen Innovations in AI, Cloud & Data appeared first on Analytics Vidhya.

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JPMorgan Chase builds ambitious AI foundation on AWS

CIO Business Intelligence

JPMorgan Chase & Co. has deployed an internal AI assistant dubbed LLM Suite to more than 200,000 employees and is generating genuine value from its early AI investments. At AWS re:Invent Tuesday, JPMorgan Chase Global CIO Lori Beer detailed the evolving partnership between the financial services giant and AWS, which finds JPMorgan pushing the AWS SageMaker machine learning platform and AWS Bedrock generative AI platform beyond experimentation into production applications.

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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving. Our customers are telling us that they are seeing their analytics and AI workloads increasingly converge around a lot of the same data, and this is changing how they are using analytics t

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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2025 IT headcount expectations lowest in over a decade

CIO Business Intelligence

Predictions are all about timing, but sentiment can take a long time to sway. That may be a key tension unfolding for the 2025 IT hiring market, as evidenced by IT recruitment firm Harvey Nash stepping back from the ramifications of its own recent survey of CIOs, who were decidedly pessimistic about IT hiring in the new year. Harvey Nash’s survey found that only 36% of CIOs believed IT headcounts would increase in 2025 — the lowest such sentiment reported since 2011.

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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. While traditional extract, transform, and load (ETL) processes have long been a staple of data integration due to its flexibility, for common use cases such as replication and ingestion, they often prove time-consuming, complex, and less adaptable to the fast-changing demands of modern data architectures.

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4 ways to build a team equipped with emerging skills

CIO Business Intelligence

We’ve all heard about how difficult the job market is on the applicant side, with candidates getting very little response from prospective employers. But the hiring side isn’t much easier. Changing demographics, fast-evolving technologies, and the globalization of job opportunities make recruiting and holding onto skilled professionals much more difficult.

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Read and write S3 Iceberg table using AWS Glue Iceberg Rest Catalog from Open Source Apache Spark

AWS Big Data

In today’s data-driven world , organizations are constantly seeking efficient ways to process and analyze vast amounts of information across data lakes and warehouses. Enter Amazon SageMaker Lakehouse, which you can use to unify all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI and machine learning (AI/ML) applications on a single copy of data.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Cloudera announces ‘Interoperability Ecosystem’ with founding members AWS and Snowflake

Cloudera

Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads. But now AWS customers will gain more flexibility, data utility, and complexity, supporting the modern data architecture. All this by making it easier for customers to connect their workloads with Snowflake, Cloudera, and unique AWS services such as Amazon Simple Storage Service

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Integrating BPM Software Into Your Data Strategy

Smart Data Collective

BPA software is great for data-driven companies that are trying to improve their bottom line.

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Use open table format libraries on AWS Glue 5.0 for Apache Spark

AWS Big Data

Open table formats are emerging in the rapidly evolving domain of big data management, fundamentally altering the landscape of data storage and analysis. These formats, exemplified by Apache Iceberg, Apache Hudi, and Delta Lake, addresses persistent challenges in traditional data lake structures by offering an advanced combination of flexibility, performance, and governance capabilities.

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Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Introducing AWS Glue 5.0 for Apache Spark

AWS Big Data

AWS Glue is a serverless, scalable data integration service that makes it simple to discover, prepare, move, and integrate data from multiple sources. Today, we are launching AWS Glue 5.0, a new version of AWS Glue that accelerates data integration workloads in AWS. AWS Glue 5.0 upgrades the Spark engines to Apache Spark 3.5.2 and Python 3.11 , giving you newer Spark and Python releases so you can develop, run, and scale your data integration workloads and get insights faster.

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The Royal Eswatini Sugar Corporation sows sweet success in agriculture

CIO Business Intelligence

You’ve all seen the news: global despair caused by the oppressive heat, unrelenting cold, and merciless flooding – all impacting our once-bountiful fields. As climate change heightens, farmers and their crops face growing exposure to unpredictable weather patterns. Global conflicts only add to their uncertainty and vulnerability, with rising production costs exacerbating difficulties.

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Fueling the Future of GenAI with NiFi: Cloudera DataFlow 2.9 Delivers Enhanced Efficiency and Adaptability

Cloudera

For more than a decade, Cloudera has been an ardent supporter and committee member of Apache NiFi, long recognizing its power and versatility for data ingestion, transformation, and delivery. Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams.

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Using Skip Tracing and Data Mining to Find Off-Market Real Estate

Smart Data Collective

There are a lot of great ways that real estate investors can use data analytics, but one of the biggest is skip tracing.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Emirates Global Aluminium’s digital transformation: An interview with Carlo Nizam, Chief Digital Officer

CIO Business Intelligence

When Carlo Nizam joined EGA in 2021, he was tasked with leading the company’s digital transformation, a journey aimed at optimizing every aspect of the business. Carlo describes his dual role as Chief Digital and Information Officer (CDIO) as one that combines both traditional IT and digital transformation responsibilities. “We look at data as a valuable commodity.

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I Have Microsoft, Why Do I Need Dataiku?

Dataiku

As organizations continue to navigate the complexities of data science, embracing a unified, collaborative platform like Dataiku on Azure could be the key to unlocking transformative AI capabilities. Dataiku’s end-to-end data science and AI platform, when deployed alongside Microsoft Azure solutions and products, such as Fabric and Azure Machine Learning (ML), empowers organizations of any size to deliver enterprise AI in a robust, efficient, and collaborative environment.

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Data Governance Defying Gravitas

TDAN

“Defying Gravity,” the show-stopping anthem from the musical “Wicked,” captures the essence of breaking free from conventions and soaring beyond expectations. Just as Elphaba, the protagonist witch from “Wicked,” refuses to be bound by the weight of societal norms, Non-Invasive Data Governance (NIDG) offers organizations a way to defy the gravitas of traditional governance frameworks.

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Agora, the Denodo Cloud Service – Is Now Available on the AWS Marketplace

Data Virtualization

Reading Time: 3 minutes The highly anticipated Denodo Agora (managed SaaS solution) on the AWS Marketplace is now generally available. Denodo has been supporting our joint customers to get the most from their investments. and with the introduction of Agora, organizations can now more. The post Agora, the Denodo Cloud Service – Is Now Available on the AWS Marketplace appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Data Governance Best Practices: Lessons from Anthem’s Massive Data Breach

TDAN

In the insurance industry, data governance best practices are not just buzzwords — they’re critical safeguards against potentially catastrophic breaches. The 2015 Anthem Blue Cross Blue Shield data breach serves as a stark reminder of why robust data governance is crucial.

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The UAE’s digital transformation: A visionary leap into the future

CIO Business Intelligence

As the United Arab Emirates celebrates its 53rd National Day, it reflects on an extraordinary journey of transformation. Over the last few years, the UAE has rapidly positioned itself as a global hub for technology and innovation, with a strong focus on artificial intelligence (AI), cybersecurity, and digital infrastructure. The country’s vision is not just to keep pace with technological advancements but to lead the way in shaping the future.

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Through the Looking Glass: What Does Data Quality Mean for Unstructured Data?

TDAN

I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over the years, I’ve seen a trend — more and more emphasis on AI. I’ve taken to asking a question at these conferences: What does data quality mean for unstructured data?

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UKISUG Connect 2024: The Path to S/4HANA, Skills Shortages, AI Expectations, and the Power of Community

Timo Elliott

At the UK and Ireland SAP User Group ( UKISUG ) Connect 2024 in Birmingham this week, Craig Dale , UKISUG’s Chief Executive, and Conor Riordan , the group’s new chair, delivered a keynote focused on the transformative challenges and opportunities facing the SAP user community. The S/4HANA Transition: A Time of Change The keynote spotlighted the ongoing shift from ECC to S/4HANA, which remains a critical priority for SAP customers.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.