Analytics Vidhya

JUNE 27, 2022

Introduction SQL, which stands for Structured Query Language, is ranked among the most important skills that data analysts should have. As you prepare to negotiate data analysis tasks, you can expect SQL to appear during the interview. With this guide, you will learn […].

Data Science 256

Data Science Publishing Analytics 256

Analytics Vidhya

JULY 17, 2022

Introduction We all make mistakes and learn from them. While learning, we often encounter mistakes and try to resolve them, but at the beginning, we need guidance on […]. The post Top 10 Mistakes to avoid in SQL Query appeared first on Analytics Vidhya.

Data Science 295

Data Science Publishing Analytics IT 295

Analytics Vidhya

APRIL 28, 2021

Introduction Are you passionate about the empirical investigation to find. The post Learn how to get insights from Azure SQL Database: A sample data analytics project using Global Peace Index data appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Data Analytics 271

Data Analytics Analytics Data Science Publishing 271

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? Power BI still works as it always has.

Data Warehouse 113

Data Warehouse Data Processing Reporting Technology 113

KDnuggets

JUNE 1, 2022

Also: Python Libraries Data Scientists Should Know in 2022; The Complete Collection Of Data Repositories - Part 1; Top YouTube Channels for Learning Data Science; 7 Steps to Mastering SQL for Data Science; A Brief Introduction to Papers With Code.

Data Science 116

Data Science 116

KDnuggets

APRIL 27, 2022

A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022; Building a Scalable ETL with SQL + Python; 7 Steps to Mastering SQL for Data Science; Top Data Science Projects to Build Your Skills.

Machine Learning 95

Machine Learning Data Science 95

Octopai

APRIL 24, 2023

Octopai is proud to announce the introduction of an automated connector for Google BigQuery. Google BigQuery’s SQL-based machine learning model support streamlines the model-building process, ensuring accurate reporting and better decision-making.

Cost-Benefit 96

Cost-Benefit Data-driven Data Warehouse Data Governance 96

Sisense

APRIL 2, 2020

Tools of the Trade is your destination for data and analytics skill building: From dashboards and reports to embedding analytics and building custom analytic apps to SQL secrets and data deep-dives, whatever you need to know to be better at your job, you can find it here. 4 Ways to Join Only The First Row in SQL.

Data Warehouse 83

Data Warehouse Big Data Testing Software 83

Smart Data Collective

MAY 29, 2023

With the introduction and use of machine learning, AI tech is enabling greater efficiencies with respect to data and the insights embedded in the information. As the world and its technologies changes, so will the needs as dictated by the demands of businesses and their adoption of new technologies and techniques.

Data Collection 78

Data Collection Big Data Statistics Software 78

FineReport

DECEMBER 19, 2019

I know novices are very concerned about the learning process of data analysis. You may be full of doubts and yearnings for SQL, Python, R, etc. There are so many things to learn, which one should I learn? How do I learn, and to what extent? Second, learn SQL and understand the concept of database.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

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

datapine

MAY 14, 2019

We gave you a curated list of our top 15 data analytics books , top 18 data visualization books , top 16 SQL books – and, as promised, we’re going to tell you all about the world’s best books on data science. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. click for book source**.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Cloudera

JANUARY 6, 2021

Introduction. Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Configuration: F irst, HBase and Spark need to be configured together for Spark SQL queries to work properly. Configuring HBase Region Servers.

Machine Learning 133

Machine Learning Data Science Management Enterprise 133

AWS Big Data

OCTOBER 26, 2023

Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting revenue, predicting customer churn, and detecting anomalies. We also need an offline feature store to store features in feature groups.

Modeling 63

Modeling Data Warehouse Machine Learning Testing 63

Cloudera

JANUARY 15, 2021

Introduction. Cloudera Data Warehouse is a highly scalable service that marries the SQL engine technologies of Apache Impala and Apache Hive with cloud-native features to deliver best-in-class price-performance for users running data warehousing workloads in the cloud. IMPALA-1270: Add distinct aggregation to semi joins.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

AWS Big Data

JUNE 23, 2023

Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, straightforward to use, and makes it simple for anyone with SQL skills to quickly analyze large-scale datasets in multiple Regions. The following code provides a SQL example for a view creation.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

Data Science 101

AUGUST 27, 2023

The database is good old SQL Server and we have a pretty robust CI/CD pipeline that takes care of builds and deployments. I once had a former co-worker give me a quick introduction to Unity back in the day and I was blown away. Use the GitHub documentation to learn how to use Git and GitHub. It’s a love-hate thing with Ember.

Software 98

Software Enterprise IT 98

Smart Data Collective

JUNE 3, 2021

It does have its own query language, but it’s well-explained and easy to learn. Looker requires zero knowledge of SQL or any other languages, and creating and implementing models for your data sets in a speedy fashion is one of the major selling points for Looker. that can be easily digested and shared with your team.

Big Data 123

Big Data Software Finance Dashboards 123

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 112

Data Science Forecasting Metadata Machine Learning 112

erwin

AUGUST 15, 2022

This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Machine Learning. Thus, many traditional relational databases like Oracle and Microsoft SQL Server may not be the best choice for such a highly specific and demanding need. Business Focus.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Cloudera

AUGUST 3, 2022

The introduction of “Secure Access” mode to HWC avoids these drawbacks by relying on Hive to obtain a secure snapshot of the data that is then operated upon by Spark. Since Spark has direct access to the staged data, any Spark APIs can be used, from complex data transformations to data science and machine learning. . df.show().

Snapshot 89

Snapshot Cost-Benefit Machine Learning Data Transformation 89

FineReport

OCTOBER 21, 2020

The following are a few of the key benefits: The Price is Right: It is free if you use Microsoft SQL Server. It Supports Multiple Databases: Users can connect it to many data sources such as Microsoft SQL, Oracle, and Excel without learning about the underlying relational database structures. Flexible data reporting design.

Reporting 52

Reporting Visualization Dashboards Interactive 52

Cloudera

OCTOBER 19, 2021

A simple example of this would be parameterizing SQL query within the CDW operator. The same Airflow job can now be used to generate different SQL reports. Using the special syntax {{.}} cde job run --config conf1='column1, sum(1)' --config conf2='default.txn' --name example_airflow_job. Looking forward.

Data Transformation 119

Data Transformation Interactive Machine Learning Testing 119

DataRobot Blog

MARCH 17, 2022

During the pandemic, we witnessed mature machine learning models failing overnight because models trained on 2019 data didn’t know what to do with 2020 market conditions. Learn More. DataRobot AI Cloud 8.0 Together, these new capabilities will help every business more intelligently navigate the most unpredictable of markets.

Forecasting 52

Forecasting Machine Learning Data-driven Uncertainty 52

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Rewrite position delete files Iceberg provides a rewrite position delete files procedure in Spark SQL.

Strategy 57

Strategy Optimization Snapshot Metadata 57

FineReport

JULY 6, 2022

Introduction of Power BI, Tableau, and FineReport. Developed by Microsoft, Power BI is very friendly for users who are familiar with Microsoft products such as Azure, Excel, and SQL. But beginners may feel overwhelmed by the difficulty of learning the operations before visualizing data. Learning Sources. Data Sources.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

Alation

FEBRUARY 7, 2023

It was a telling introduction, as the complexity of interpreting the captured metadata posed an obstacle too vast for most people to overcome, lessening the product’s value. The developers spent time looking for a tool that could scan all the SQL code and Microsoft SSIS packages because that was the ETL tool being used.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

Ms SQL Girl

FEBRUARY 3, 2015

I’m pleased to announce that I will be delivering a one day workshop as one of the two precons at SQL Saturday 382, Brisbane. SQL Saturday 382 Brisbane, QLD. Introduction to Power BI. Introduction to Power BI. The details of the course are listed below. I look forward to seeing you in Brisbane! Register at [link].

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

I’m pleased to announce that I will be delivering a one day workshop as one of the two precons at SQL Saturday 382, Brisbane. SQL Saturday 382 Brisbane, QLD. Introduction to Power BI. Introduction to Power BI. The details of the course are listed below. I look forward to seeing you in Brisbane! Register at [link].

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

I’m pleased to announce that I will be delivering a one day workshop as one of the three precons at SQL Saturday 389, Huntington Beach, California. Or if you are new to Power BI and want to learn more on how it can help your organization’s or team’s BI solution, come and learn! Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

I’m pleased to announce that I will be delivering a one day workshop as one of the three precons at SQL Saturday 389, Huntington Beach, California. Or if you are new to Power BI and want to learn more on how it can help your organization’s or team’s BI solution, come and learn! Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

DataKitchen

MARCH 16, 2023

Introduction. Follow the first several principles of the DataOps Manifesto: get something in your customer’s hands and accept feedback to maximize your team’s learning. However, it is not just the speed at which you can deploy some new SQL, a new data set, a new model, or another asset from development into production.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Domino Data Lab

MAY 1, 2019

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Introduction. sql/ <- SQL source code ? ??? train_model.py <- Script for training machine learning model(s) ? ???

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

Alation

SEPTEMBER 7, 2021

Imagine writing a SQL query or using a BI dashboard with flags & warnings on compliance best practice within your natural workflow. Second, managing policies in SQL is simply not scalable. Stewards can use Alation’s SQL query writing interface, Compose, to create new data policies with ease. Two problems arise.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

FineReport

MARCH 29, 2023

Introduction to Qlik Sense Qlik Sense is an interactive BI product released by QlikTech in 2014. Qlik Sense only supports ODBC/OLEDB connection methods, while FineReport supports JDBC/JNDI/ODBC and other methods to connect to mainstream databases, including SQL Server, MySQL, Oracle, and DB2. Teaching resources are mainly in English.

Reporting 52

Reporting Visualization Dashboards Enterprise 52

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. Try Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML) by signing up for a 60 day trial , or test drive CDP.

Snapshot 72

Snapshot Metadata Data Warehouse Testing 72

Insight

AUGUST 12, 2019

Let’s say you’ve learned the fundamentals and are ready to start your job hunt. Introduction Motivation is a great start, but you’ll need the discipline to prepare effectively. There is a lot here to chew on, so don’t expect to be able to learn everything all at once. Learn vim by simply using the vimtutor command.

Software 65

Software Data-driven Testing Interactive 65