AWS Big Data

JANUARY 24, 2024

In this post, we show you how to use Spark SQL in Amazon Athena notebooks and work with Iceberg, Hudi, and Delta Lake table formats. We demonstrate common operations such as creating databases and tables, inserting data into the tables, querying data, and looking at snapshots of the tables in Amazon S3 using Spark SQL in Athena.

Snapshot 99

Snapshot Data Lake Metadata Optimization 99

datapine

APRIL 8, 2020

No matter if your company is small or large, there is a great chance that you’ve been using SQL as the tool to-go when it comes to managing and extracting value from your database. The good news is that you can utilize both with the help of a modern and professional SQL dashboard. What Is A SQL Dashboard?

Dashboards 209

Dashboards Software Visualization Sales 209

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Data Architecture 92

Data Architecture Data Governance Big Data Marketing 92

KDnuggets

MARCH 22, 2023

SQL and Python Interview Questions for Data Analysts • 5 SQL Visualization Tools for Data Engineers • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • Top Free Resources To Learn ChatGPT • Free TensorFlow 2.0

Visualization 114

Visualization 114

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

Data Warehouse 74

Data Warehouse Data Processing Optimization Modeling 74

KDnuggets

FEBRUARY 13, 2023

SQL and Python Interview Questions for Data Analysts • Learn Machine Learning From These GitHub Repositories • Learn Data Engineering From These GitHub Repositories • The ChatGPT Cheat Sheet • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2

Machine Learning 102

Machine Learning 102

KDnuggets

JANUARY 13, 2022

Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.

160

160

Paul Turley

MARCH 18, 2024

As I write this in March of 2024, I'm at the Microsoft MVP Summit at the Microsoft campus in Redmond, Washington this week learning about what the product teams will be working on over the next year or so. What parts of Fabric should you use now and how do you plan for the near-term future?

Data Warehouse 113

Data Warehouse Data Processing Reporting Technology 113

Cloudera

DECEMBER 21, 2023

Now imagine you had a personal assistant who knew everything about your data sets and was an expert in SQL, sitting alongside you every step of the way to help you quickly problem solve, write optimized code, explain queries, and much more. Well imagine it no longer, as Cloudera’s SQL AI Assistant is exactly that!

Optimization 68

Optimization Sales Data Warehouse Measurement 68

AWS Big Data

APRIL 29, 2024

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS).

Management 94

Management Big Data Metadata Data Warehouse 94

datapine

MARCH 31, 2022

To understand this concept in a practical context, check out this video featuring an explanation from analyst Sonya Fournier: Now that we’ve explored BI in a real-world professional context, let’s look at the benefits of embarking on this occupation. For a full rundown of European BI salary averages, check out this resource from Data Career.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. With Redshift ML, you can take advantage of Amazon SageMaker , a fully managed ML service, without learning new tools or languages.

Forecasting 80

Forecasting Data Warehouse Machine Learning Modeling 80

Business Over Broadway

JUNE 29, 2020

The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. A recent survey of nearly 20,000 data professionals by Kaggle revealed that Python, SQL and R continue to be the most popular programming languages.

Machine Learning 128

Machine Learning Data Science Technology Analytics 128

KDnuggets

FEBRUARY 26, 2023

The ChatGPT Cheat Sheet • ChatGPT as a Python Programming Assistant • Python Matplotlib Cheat Sheets • Learn Machine Learning From These GitHub Repositories • ChatGPT: Everything You Need to Know • 7 Best Platforms to Practice SQL • Top Posts January 23-29: The ChatGPT Cheat Sheet • Free Data Management with Data Science Learning with CS639

Machine Learning 82

Machine Learning Data Science Management 82

AWS Big Data

NOVEMBER 17, 2023

Athena is a serverless, interactive service that allows you to query data from a variety of sources in heterogeneous formats, with no provisioning effort. QuickSight makes it straightforward for organizations to build visualizations, perform ad hoc analysis, and quickly get business insights from their data, anytime, on any device.

Visualization 81

Visualization Metadata Testing Internet of Things 81

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift ML allows data analysts, developers, and data scientists to train machine learning (ML) models using SQL. Redshift ML allows you to create a model using SQL and specify your algorithm, such as XGBoost. For local inference on models created in SageMaker, the ML model type must be supported by Redshift ML.

Modeling 95

Modeling Data Warehouse Machine Learning Recreation/Entertainment 95

Smart Data Collective

AUGUST 23, 2022

However, some companies have to learn the hard way that desiring to utilize big data is not enough. This entails using SQL servers appropriately. One of the things that you need to understand while running a data-driven company is how to use drop tables with SQL servers. Using Drop Tables for Your Data-Driven Business.

Big Data 89

Big Data Data Strategy Strategy Data-driven 89

KDnuggets

FEBRUARY 8, 2023

SQL and Python Interview Questions for Data Analysts • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 2 • ChatGPT for Beginners • Python String Matching Without Complex RegEx Syntax • Learn Data Engineering From These GitHub Repositories

80

80

Jen Stirrup

SEPTEMBER 30, 2021

Azure ML can become a part of the data ecosystem in an organization, but this requires a mindshift from working with Business Intelligence to more advanced analytics. How can we can adopt a mindshift from Business Intelligence to advanced analytics using Azure ML? Machine Learning analyses a search space, but it is not human-inspired.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

AWS Big Data

DECEMBER 13, 2023

This post is co-written with Ramesh Daddala, Jitendra Kumar Dash and Pavan Kumar Bijja from Bristol Myers Squibb. Each job step incorporates the following ETL functions: File ingest – File ingestion enables you to ingest or list files from multiple file sources, like Amazon Simple Storage Service (Amazon S3), SFTP, and more.

Metadata 86

Metadata Data Lake Visualization Data Transformation 86

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Once the session starts, CML shows the data connections from the project and offers snippets to create a connection.

Dashboards 92

Dashboards Visualization Machine Learning Data Science 92

AWS Big Data

OCTOBER 3, 2023

For example, consider a critical Internet of Things (IoT) sensor from a cold storage facility that is continuously sending temperature and health data into an S3 data lake for downstream data processing and triggering actions like emergency maintenance. and above (available from Amazon EMR 6.11.0).

Optimization 108

Optimization Snapshot Data Lake Metadata 108

CIO Business Intelligence

SEPTEMBER 14, 2023

This IT role requires a significant set of technical skills, including deep knowledge of SQL database design and multiple programming languages. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

KDnuggets

APRIL 25, 2022

SQL is a must-know for anyone working in the data industry. Here’s how you can learn it from scratch.

Data Science 108

Data Science IT 108

Cloudera

JUNE 7, 2021

At the end of March, we released the first version of Cloudera SQL StreamBuilder as part of CSA 1.3. It enabled users to easily write, run and manage real-time SQL queries on streams from Apache Kafka with an exceptionally smooth user experience. . Flink SQL DDL and Catalog support. Stream enrichment from Hive & Kudu.

Analytics 106

Analytics Management IT 106

Octopai

APRIL 24, 2023

Google BigQuery’s SQL-based machine learning model support streamlines the model-building process, ensuring accurate reporting and better decision-making. Data Lineage Benefits: With the new integration, data analysts and ML data scientists can visualize data pipelines, improving data governance and quality.

Cost-Benefit 96

Cost-Benefit Data-driven Data Warehouse Data Governance 96

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

JUNE 23, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Warehouses are vertically integrated for SQL Analytics, whereas Lakes prioritize flexibility of analytic methods beyond SQL. Customers demanded more from the start.

Data Lake 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

AWS Big Data

APRIL 25, 2024

This approach allows the team to process the raw data extracted from Account A to Account B, which is dedicated for data handling tasks. The pipeline then starts running stored procedures and SQL commands on Redshift Serverless. scripts – Any SQL scripts used in the DAG. data – Any datasets used in the DAG.

Metadata 102

Metadata Data Processing Management Testing 102

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. The following diagram illustrates a basic in-context learning workflow.

Data Lake 89

Data Lake Unstructured Data Management Modeling 89

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Cloudera SQL Stream Builder.

Analytics 91

Analytics Dashboards Statistics Visualization 91

IBM Big Data Hub

SEPTEMBER 1, 2023

Cyberthreats can range from the obvious, such as an email from a foreign potentate offering a small fortune if you’ll just provide your bank account number, to the deviously stealthy, such as a line of malicious code that sneaks past cyberdefenses and lives on the network for months or years before triggering a costly data breach.

IoT 113

IoT Internet of Things Software Behavioral Analytics 113

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Warehouses are vertically integrated for SQL Analytics, whereas Lakes prioritize flexibility of analytic methods beyond SQL. Customers demanded more from the start.

Data Lake 93

Data Lake Data Warehouse Machine Learning Cost-Benefit 93

AWS Big Data

NOVEMBER 28, 2023

ETL is the process data engineers use to combine data from different sources. Through customer feedback, we learned that lot of undifferentiated time and resources go towards building and managing ETL pipelines between transactional databases and data warehouses.

Data Warehouse 91

Data Warehouse Data-driven Machine Learning B2B 91

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. Someone with the knowledge of SQL and access to a Db2 instance, where the in-database ML feature is enabled, can easily learn to build and use a machine learning model in the database.

Modeling 92

Modeling Statistics Machine Learning Testing 92

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Cloudera

MAY 1, 2023

SQL Stream Builder streamlines this process by managing your data sources, virtual tables, connectors, and other resources your jobs might need, and allowing non technical domain experts to to quickly run versions of their queries. release of Cloudera’s SQL Stream Builder (available on CDP Public Cloud 7.2.16

Testing 79

Testing Management Data Processing IT 79