Smart Data Collective

MAY 29, 2023

Three Different Analysts Data analysis as a whole is a very broad concept which can and should be broken down into three separate, more specific categories : Data Scientist, Data Engineer, and Data Analyst. Before moving into the hiring process though, it would be helpful to narrow down what type of data your business is managing.

Data Collection 76

Data Collection Big Data Statistics Software 76

AWS Big Data

MARCH 10, 2023

Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files. It enables ACID transactions on tables, allowing for concurrent data ingestion, updates, and queries, all while using familiar SQL.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100

AWS Big Data

MARCH 4, 2024

Let’s add the partition field category to the Iceberg table using the AWS Glue ETL job icebergdemo1-GlueETL2-partition-evolution : ALTER TABLE glue_catalog.icebergdb1.ecomorders ecomorders ADD PARTITION FIELD category ; On the AWS Glue console, run the ETL job icebergdemo1-GlueETL2-partition-evolution. DESCRIBE icebergdb1.ecomorders

Snapshot 110

Snapshot Data Lake Metadata Recreation/Entertainment 110

O'Reilly on Data

SEPTEMBER 15, 2021

When we looked at the most popular programming languages for data and AI practitioners, we didn’t see any surprises: Python was dominant (61%), followed by SQL (54%), JavaScript (32%), HTML (29%), Bash (29%), Java (24%), and R (20%). The tools category includes tools for building and maintaining data pipelines, like Kafka.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

AWS Big Data

NOVEMBER 9, 2023

dbt enables you to write SQL select statements, and then it manages turning these select statements into tables or views in Amazon Redshift. dbt’s SQL-based framework made it straightforward to learn and allowed the existing development team to scale up quickly.

Data Warehouse 103

Data Warehouse Testing Data Quality Reporting 103

erwin

APRIL 27, 2022

This year Quest® (including erwin) is competing in 7 out of 29 product / solution categories: Best CDC Solution (Quest Shareplex). Concerned about meeting your personal data regulatory compliance responsibilities across your SQL Server estate? Best Data Governance Solution (erwin Data Intelligence).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

FineReport

MAY 19, 2021

Purchasing analysis is usually represented as dashboards, reports, and data graphs, analyzing the company’s spending on suppliers by category or location. The following example contains the profit and category contribution rate, the sales, and directs for the next stage of the procurement plan. Purchasing Reports Samples.

Dashboards 93

Dashboards Metrics Reporting Forecasting 93

AWS Big Data

JULY 14, 2023

The model should be able to showcase to LOBs their categories and capabilities. In the following sample data model, each business LOB has several business categories and capabilities, and each capability can be mapped to multiple APIs. The following screenshot visualizes LOBs, category, and capabilities.

Modeling 69

Modeling Visualization Reporting Measurement 69

Sisense

DECEMBER 16, 2020

As another example, if your sales went up by 10%, Sisense might explain that the increase was attributable to both a specific product category and a certain age group of customer with a visual display of the breakdown. For every query, Sisense translates live widget information into SQL data.

Slice and Dice 98

Slice and Dice Analytics Data-driven Reporting 98

AWS Big Data

MARCH 2, 2023

It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. spark.sql.extensions – Adds support to Iceberg Spark SQL extensions, which allows you to run Iceberg Spark procedures and some Iceberg-only SQL commands (you use this in a later step).

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

AWS Big Data

JANUARY 27, 2023

Categories tab – This tab shows the aggregated sentiment, talk time, and non-talk time per speaker-turn in your call recordings. You can analyze the data based on category along with date and agent filter. Custom Entities tab – Similar to category, you can see the breakdown across custom entities.

Analytics 60

Analytics Reporting Dashboards Visualization 60

CIO Business Intelligence

OCTOBER 13, 2023

Data modeling and design: This is the core skill of the data architect and the most requested skill in data architect job descriptions, according to Lambert, who notes that this often includes SQL development and database administration.

Data Architecture 127

Data Architecture Data Warehouse Statistics Visualization 127

AWS Big Data

MARCH 25, 2024

FMs can analyze each answer and assign a category of user satisfaction. It also provides support for SQL querying over stream of data events. Therefore, by using Apache Flink, you can quickly analyze raw user inputs and generate KPIs in real time by writing familiar SQL queries.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

CIO Business Intelligence

OCTOBER 6, 2023

PayScale offers data on similar job titles that fall under the category of business analyst. Business analytics tools and software Business analysts typically rely on software such as Microsoft Excel, Microsoft PowerPoint, Microsoft Access, SQL, Google Analytics, and Tableau. Washington, D.C.,

IT 124

IT Business Analysis Key Performance Indicator Cost-Benefit 124

Smart Data Collective

MARCH 29, 2022

So, whether you’ve been using Excel, SQL, CRMs, or other platforms to keep track of your data, this new technology will make accessing and configuring your data simpler. Here’s a list of contextual value examples a dimensional table may include: Products (product category, features, etc.)

Data-driven 83

Data-driven Modeling Sales Technology 83

FineReport

AUGUST 7, 2020

In this step, all you need is simple SQL rather than complex programming languages. For the IT department, I believe SQL is a piece of cake. But don’t worry if you don’t know SQL before. This operation only requires basic SQL, and it won’t take you long to master it.

Reporting 75

Reporting IT Interactive KPI 75

FineReport

OCTOBER 25, 2021

In most cases, nearly any data dashboard tool used by a company falls into this category. Click the button + to add a new dataset, and then we can write the SQL statement. Here are major categories?. If you are interested in these data dashboard templates, you can download FineReport for free. Free Download. Edit components.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

CIO Business Intelligence

AUGUST 4, 2023

The job requires programming skills in languages such as C#, SQL, and Java, but the languages and tools you’ll need to know will vary by industry. You’ll also need a working knowledge of mobile, web, and desktop operating systems as well as experience with analytics, robotics, AI and machine learning.

IT 86

IT Testing Manufacturing Software 86

AWS Big Data

MARCH 27, 2023

In this workflow, data is written to Amazon S3 through the Confluent S3 sink connector and then analyzed with Athena, a serverless interactive analytics service that enables you to analyze and query data stored in Amazon S3 and various other data sources using standard SQL. Aggregation We can use standard SQL functions to aggregate the data.

Visualization 74

Visualization Data Lake Interactive Data-driven 74

Cloudera

FEBRUARY 9, 2021

Additionally, the real-time view is transparent for the front-end SQL. The business teams can embrace real-time with their most familiar SQL tools. The ‘category’ is the business partition column of the Hive ORC/Parquet table. Therefore, it’s more adopted by the ecosystem of BI tools and applications. Design Detail.

Data Warehouse 67

Data Warehouse Cost-Benefit Metadata Management 67

DataKitchen

MARCH 16, 2023

It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps. 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. It takes them too long to write SQL, python, or make a dashboard.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

AWS Big Data

APRIL 25, 2024

Partitioning is a technique that divides a large dataset into smaller, more manageable parts based on specific criteria, such as date, region, or product category. If you need a large number of partitions, you may want to use AWS Glue extract, transform, and load (ETL), although there is a workaround to split into multiple SQL statements.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

IBM Big Data Hub

MAY 12, 2023

A global fast-moving consumer goods (FMCG) enterprise needed to modernize its product portfolio, focusing on high-growth categories like pet care, coffee and consumer health.

Consulting 78

Consulting Cost-Benefit Optimization Dashboards 78

Sisense

SEPTEMBER 3, 2020

The distinction between all three categories can become blurred, for example if a business analyst also provides code for new business systems and applications. With strong technical abilities, database specialists are likely to be at ease with both SQL databases like MySQL and PostgreSQL, and NoSQL technologies such as MongoDB and Redis.

Statistics 97

Statistics Metrics Visualization Finance 97

BizAcuity

NOVEMBER 22, 2022

Snowpipe data ingestion might be too slow for three use categories: real-time personalization, operational analytics, and security. With AWS Glue and Snowflake, customers get the added benefit of Snowflake’s query pushdown, which automatically pushes Spark workloads, translated to SQL, into Snowflake. Real-Time Personalization.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

FineReport

FEBRUARY 12, 2020

e.g., If you focus on user growth, you can sort through the user categories, the key metrics of each AARRR phases, the results of products or operational activities related to user growth, ROIs, and so on. SQL Server? Does the data need to be summarized by category or as a whole? Determine the source of the data . ERP database?

Reporting 98

Reporting Metrics ROI Software 98

Cloudera

JUNE 8, 2021

McKinsey lists building capabilities for the workforce of the future as one of five categories of factors improving the chances of a successful digital transformation. A sturdy data infrastructure coupled with a proficient workforce are pillars for an organization’s digital transformation efforts. .

Digital Transformation 58

Digital Transformation Cost-Benefit Data Strategy Finance 58

FineReport

DECEMBER 25, 2019

e.g., If you focus on user growth, you can sort through the user categories, the key metrics of each AARRR phases, the results of products or operational activities related to user growth, ROIs, and so on. SQL Server? Does the data need to be summarized by category or as a whole? Determine the source the data . ERP database?

Reporting 98

Reporting Metrics ROI KPI 98

AWS Big Data

DECEMBER 5, 2023

Data visualization The HR&A team used CARTO’s Redshift connector to connect to the Redshift Serverless endpoint and built dashboards using CARTO’s SQL interface and widgets to assist mapping while performing dynamic calculations of the map data as per client needs. The first image shows the dashboard without any active filters.

Measurement 81

Measurement Dashboards Data Warehouse Analytics 81

Cloudera

SEPTEMBER 17, 2020

A North American telecom company struggled for years trying to react quickly enough to new categories and new levels of spam texts and calls. Cloudera Data Visualization is the same visual tool used across: Structured data, processed by an optimized SQL query engine. Today’s data tool challenges.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

Jet Global

APRIL 30, 2019

While some functionality mirrors how it was done in Dynamics AX, there have been changes to how you create SQL Server Reporting Services (SSRS) reports, ad-hoc reports, and custom reports in D365FO. There are 5 categories of data entities based on their functions and the type of data that they serve: Parameter (Ex. General ledger).

Finance 73

Finance OLAP Reporting Data Warehouse 73

Smart Data Collective

JUNE 4, 2021

Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. In classification, the category of observation is predicted. Skills that are in high demand for data science positions are big data (spark), no sql (mongo db), and cloud computing.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

BizAcuity

APRIL 1, 2023

Snowpipe data ingestion might be too slow for three use categories: real-time personalization, operational analytics, and security. With AWS Glue and Snowflake, customers get the added benefit of Snowflake’s query pushdown, which automatically pushes Spark workloads, translated to SQL, into Snowflake.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

Alation

SEPTEMBER 16, 2021

As an emerging software category, data intelligence solves a range of crucial use cases, including: Search & Discovery. SQL wizards share their best queries via query log sharing to help all query writers. The catalog is the platform for data intelligence applications. Data Privacy. Data Quality. Metadata Management.

Machine Learning 52

Machine Learning Data Governance Software Metadata 52

Cloudera

SEPTEMBER 10, 2018

At Cloudera, we’re lucky to work with some amazing partners, and in the data warehouse category in particular, we see a couple of key trends: New innovation in the Cloudera ecosystem : Several new companies have emerged that tightly integrate with our platform, effectively betting their business on our own success, which is humbling!

Data Warehouse 43

Data Warehouse Unstructured Data Internet of Things Enterprise 43

DataRobot

JUNE 4, 2021

As the AutoML category creator, DataRobot has since expanded its capabilities to accept heterogeneous data formats, including image, geospatial, text, time series, and many others. DataRobot and Snowflake can also help you relieve the burden of this time-intensive, manual activity.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

Jet Global

SEPTEMBER 4, 2020

The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data Entities.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88