AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

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IBM Journey to AI blog

MARCH 14, 2024

The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. Let’s delve into the database portfolio from IBM available on AWS. 

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AWS Machine Learning Blog

JUNE 12, 2025

In this post, we illustrate how VideoAmp , a media measurement company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to develop a prototype of the VideoAmp Natural Language (NL) Analytics Chatbot to uncover meaningful insights at scale within media analytics data using Amazon Bedrock.

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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AWS Machine Learning Blog

FEBRUARY 14, 2024

Amazon Redshift has announced a feature called Amazon Redshift ML that makes it straightforward for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Redshift data warehouses. For more details, refer to Importing a certificate.

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Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Techniques such as data cleansing, aggregation, and trend analysis play a critical role in ensuring data quality and relevance. Data Scientists rely on technical proficiency.

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ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

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Analytics Vidhya

JANUARY 11, 2023

Introduction With regard to educating its community about data science, Analytics Vidhya has long been at the forefront. We periodically hold “DataHour” events to increase community interest in studying data science. These webinars are hosted by top industry experts and they teach and democratize data science knowledge.

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AWS Machine Learning Blog

JANUARY 6, 2023

The rules in this engine were predefined and written in SQL, which aside from posing a challenge to manage, also struggled to cope with the proliferation of data from TR’s various integrated data source. TR customer data is changing at a faster rate than the business rules can evolve to reflect changing customer needs.

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Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

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Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

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Alation

OCTOBER 14, 2021

Lyngo’s machine learning algorithms convert business questions into SQL, truly democratizing access to data and insights, giving users answers that previously only technical data analysts could provide. This lowers the barrier to entry to sophisticated data analysis for non-technical people.

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Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Read more to know.

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Pickl AI

JANUARY 13, 2025

Key Skills Expertise in statistical analysis and data visualization tools. Proficiency in programming languages like Python and SQL. Key Skills Experience with cloud platforms (AWS, Azure). Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions.

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Alation

MAY 24, 2022

Prime examples of this in the data catalog include: Trust Flags — Allow the data community to endorse, warn, and deprecate data to signal whether data can or can’t be used. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

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Flipboard

MARCH 21, 2025

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems. This approach eliminates any data duplication or data movement.

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Women in Big Data

MAY 21, 2024

Empowerment: Opening doors to new opportunities and advancing careers, especially for women in data. She highlighted various certification programs, including “Data Analyst,” “Data Scientist,” and “Data Engineer” under Career Certifications. Repeated this process as needed.

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Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Scalability: Designed to handle large volumes of data efficiently.

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Pickl AI

DECEMBER 4, 2024

Furthermore, the demand for skilled data professionals continues to rise; searches for “data analyst” roles have doubled in recent years as companies seek to harness the power of their data. Understand data structures and explore data warehousing concepts to efficiently manage and retrieve large datasets.

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phData

JUNE 3, 2024

Taking it one step further, if you don’t want your data traversing the public internet, you can implement one of the private connections available from the cloud provider your Snowflake account is created on, i.e., Azure Private Link, AWS Privatelink, or Google Cloud Service Private Connect. Snowflake has you covered with Cortex.

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Flipboard

DECEMBER 4, 2024

Today, Example Retail Corp manages sales data in its data warehouse and customer data in Apache Iceberg tables in Amazon Simple Storage Service (Amazon S3). It uses Amazon EMR Serverless for data processing and machine learning. The Data Warehouse Admin has an IAM admin role and manages databases in Amazon Redshift.

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The MLOps Blog

MARCH 21, 2023

Other users Some other users you may encounter include: Data engineers , if the data platform is not particularly separate from the ML platform. Analytics engineers and data analysts , if you need to integrate third-party business intelligence tools and the data platform, is not separate.

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The MLOps Blog

OCTOBER 3, 2023

You see them all the time with a headline like: “data science, machine learning, Java, Python, SQL, or blockchain, computer vision.” It’s almost like a specialized data processing and storage solution. For example, you can use BigQuery , AWS , or Azure. How awful are they?” Quite fun, quite chaotic at times.

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AWS Machine Learning Blog

DECEMBER 11, 2024

However, extracting valuable insights from the vast amount of data stored in Aurora PostgreSQL-Compatible often requires manual efforts and specialized tooling. Generative AI provides the ability to take relevant information from a data source and deliver well-constructed answers back to the user.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

Generative AI is transforming the way healthcare organizations interact with their data. MSD collaborated with AWS Generative Innovation Center (GenAIIC) to implement a powerful text-to-SQL generative AI solution that streamlines data extraction from complex healthcare databases. Sonnet model on Amazon Bedrock.

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SQL Database AWS AI 101