DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data. This flexibility can lead to valuable insights and opportunities for business growth.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Workfall

SEPTEMBER 18, 2023

Empowering Data-Driven Decisions: Whether you run a small online store or oversee a multinational corporation, the insights hidden in your data are priceless. Airbyte ensures that you don’t miss out on those insights due to tangled data integration processes.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Monte Carlo

FEBRUARY 15, 2023

Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data. Therefore it’s of immense importance that the data that enters a data warehouse needs to be cleaned. Yes, data warehouses can store unstructured data as a blob datatype. They need to be transformed.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

OCTOBER 13, 2023

As per Microsoft, “A Power BI report is a multi-perspective view of a dataset, with visuals representing different findings and insights from that dataset. ” Reports and dashboards are the two vital components of the Power BI platform, which are used to analyze and visualize data.

BI 52

BI Business Analyst Datasets Raw Data 52

Ascend.io

SEPTEMBER 14, 2023

High Performance Python is inherently efficient and robust, enabling data engineers to handle large datasets with ease: Speed & Reliability: At its core, Python is designed to handle large datasets swiftly , making it ideal for data-intensive tasks.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

SEPTEMBER 27, 2023

SPICE, an in-memory computation engine, is used to ensure rapid data analysis. SPICE is capable of handling large datasets, allowing for real-time analytics and interactive dashboards Power BI's DAX (Data Analysis Expressions) language prioritizes performance.

BI 52

BI AWS Database-centric Data Lake 52

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. In most cases, data is synchronized in real-time at scheduled intervals.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

U-Next

JUNE 27, 2023

Pivot Tables allow you to retrieve answers to a series of simple questions about your data with minimum effort when given an input table containing tens, scores, or even thousands of rows. It helps aggregate data by any field (column) and do complex computations on it. Let’s consider a typical scenario of sales.

Utilities 52

Utilities Data Analysis Raw Data Aggregated Data 52

AltexSoft

JANUARY 26, 2022

For more detailed information on data science team roles, check our video. An analytics engineer is a modern data team member that is responsible for modeling data to provide clean, accurate datasets so that different users within the company can work with them. Data modeling. What is an analytics engineer?

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. The Yelp dataset JSON stream is published to the PubSub topic.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 27, 2021

Non-relational databases are ideal if you need flexibility for storing the data since you cannot create documents without having a fixed schema. Since non-RDBMS are horizontally scalable, they can become more powerful and suitable for large or constantly changing datasets. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

OCTOBER 29, 2021

Since then, many other well-loved terms, such as “data economy,” have come to be widely used by industry experts to describe the influence and importance of big data in today’s society. Timeliness Timeliness also affects data quality as data is of value only when it is available when needed.

Data Mining 52

Data Mining Datasets Machine Learning Metadata 52

Lyft Engineering

APRIL 21, 2023

However, consuming this raw data presents several pain points: The number of requests varies across models; some receive a large number of requests, while others receive only a few. For some models, aggregating data with simple queries is easy, while for others the data is too large to process on a single machine.

Systems 105

Systems Building Machine Learning Datasets 105

AltexSoft

MARCH 14, 2023

Data storage The tools mentioned in the previous section are instrumental in moving data to a centralized location for storage, usually, a cloud data warehouse, although data lakes are also a popular option. But this distinction has been blurred with the era of cloud data warehouses.

IT 59

IT Data Warehouse Data Governance Data Lake 59

DoorDash Engineering

APRIL 12, 2023

The lack of tracking for the quality and freshness of upstream datasets used in the metric definitions posed a risk of basing important business decisions on outdated or low-quality data. After considering the aforementioned factors and studying other existing metric frameworks, we decided to adopt standard BI data models.

SQL 83

SQL Metadata Raw Data Government 83

Rockset

APRIL 15, 2022

Companies also began to embrace change data capture (CDC) in order to stream updates from operational databases — think Oracle , MongoDB or Amazon DynamoDB — into their data warehouses. Companies also started appending additional related time-stamped data to existing datasets, a process called data enrichment.

Analytics Application 52

Analytics Application Data Warehouse Kafka Raw Data 52