Datakin

AUGUST 5, 2021

Blog A real-time approach to data lineage Written by Ross Turk on August 5, 2021 A data ecosystem that spans multiple pipelines, teams, and platforms can be overwhelming. Each dataset and job exists in a unique operational context, with interdependencies that may seem simple…until they multiply.

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Metadata Relational Database Datasets SQL 52

Knowledge Hut

DECEMBER 28, 2023

. "Once the business data have been centralized and integrated, the value of the database is greater than the sum of the preexisting parts." Working with databases is essential for developers, regardless of their field. However, advancements have allowed non-technical individuals to manage databases using automated tools.

Database 52

Database MySQL SQL Relational Database 52

Knowledge Hut

JANUARY 24, 2024

If you are an expert in working with data or a beginner excited to use visualization, this blog will help you understand the differences between power bi and tableau. Tableau, on the other hand, stands out for its exceptional speed, ensuring swift rendering even when dealing with large and complex datasets.

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BI Business Intelligence Non-relational Database Data Analysis 98

Knowledge Hut

JULY 26, 2023

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications?

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Knowledge Hut

FEBRUARY 28, 2024

In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. To analyze big data, we require sophisticated software and dedicated databases. It involves extracting valuable insights from these massive datasets to gain a competitive advantage.

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Workfall

JANUARY 17, 2024

In this blog, we will cover: What is Pagination? SQLAlchemy: SQLAlchemy is a Python library that provides a high-level, object-oriented interface for interacting with relational databases using SQL. We will come up with more such use cases in our upcoming blogs. appeared first on The Workfall Blog.

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ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

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Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. They analyze datasets to find trends and patterns and report the results using visualization tools. Data engineers can also create datasets using Python. It is an outcome of coordination between different statistical tools.

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Scott Logic

SEPTEMBER 22, 2023

I typically take extensive notes of the sessions I attend, so thought I’d share them here on our blog. This effort is split into multiple work streams looking at LLM architectures, the hosting of models and datasets, education and outreach and a framework for evaluating the openness of ML models.

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PostgreSQL AWS Education Relational Database 52

phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. Check out our Data Governance on Snowflake blog! Want to learn more about data governance?

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ProjectPro

FEBRUARY 8, 2023

Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Furthermore, Glue supports databases hosted on Amazon Elastic Compute Cloud (EC2) instances on an Amazon Virtual Private Cloud, including MySQL, Oracle, Microsoft SQL Server, and PostgreSQL.

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Cloudera

NOVEMBER 15, 2021

This blog discusses quantifications, types, and implications of data. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. It aims to protect AI stakeholders from the effects of biased, compromised or skewed datasets. Quantifications of data.

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Unstructured Data Pipeline-centric Database-centric Entertainment 88

U-Next

AUGUST 11, 2022

In this blog, you’ll learn what does a Data Scientist do , the Data Science skills required to become a Data Scientist, and much more. Many activities require you to interact with database management systems regularly. You may need to design a database, create datasets, map, order, and/or interlink key values.

Data Science 40

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Rockset

AUGUST 2, 2023

In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data. You can learn more about the foundational pieces and principles of Windward’s AI on their blog- A Look into the “Engine Room” of Windward’s AI.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Cloudera

JULY 15, 2019

Even as modern SQL engines evolve to be capable of querying ever larger and more diverse datasets, the essential concepts and fundamental syntax of SQL queries remains largely consistent over time. The post Educating Data Analysts at Scale: Cloudera Launches Modern Big Data Analysis with SQL on Coursera appeared first on Cloudera Blog.

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Education Big Data Data Analysis SQL 57

AltexSoft

MAY 14, 2021

This data isn’t just about structured data that resides within relational databases as rows and columns. Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools. What is Big Data analytics?

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Data Science Blog: Data Engineering

NOVEMBER 15, 2023

For that reason our event log – that brings object into the center of gravity – we need a relational bridge table (Event_Object_Relation) into the focus. This tables creates the n to m relation between events (with their timestamps and other event-specific values) and all objects.

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ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python.

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

OCTOBER 3, 2022

So, in terms of a “graph of data”, a dataset is arranged as a network of nodes, edges, and labels rather than tables of rows and columns. This is especially useful for big enterprises when the sources are presented in different formats (CSV, XML, JSON, relational databases) and use different data schemas.

Relational Database 52

Relational Database Banking Media Computer Science 52

Cloudera

JUNE 16, 2022

This blog aims to answer two questions as illustrated in the diagram below: How have stream processing requirements and use cases evolved as more organizations shift to “streaming first” architectures and attempt to build streaming analytics pipelines? The post Turning Streams Into Data Products appeared first on Cloudera Blog.

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Kafka Manufacturing Data Lake SQL 86

ProjectPro

DECEMBER 7, 2021

The Ultimate Guide to Build a Data Analyst Portfolio In this blog, we'll provide you with some pointers to show you how to build a data analyst portfolio. Knowing SQL allows you to alter data structures as well as modify, organize, and query data contained in relational databases (schema). Wrapping Up.

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ProjectPro

NOVEMBER 15, 2021

This blog will walk through the most popular and fascinating open source big data projects. Multi-node, multi-GPU deployments are also supported by RAPIDS, allowing for substantially faster processing and training on much bigger datasets. It is a high-availability, partition-tolerant database that is also eventually consistent.

Big Data 52

Big Data Project Metadata Programming Language 52

Rockset

FEBRUARY 22, 2024

For indexes on a relational database, the index will often contain a pointer to the primary key of the item being indexed. After locating a relevant record in the index, the database will then need to go fetch the full item. This results in extra cost and extra latency, and you can often avoid it with some upfront planning.

Database 80

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ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. Interact with the data scientists team and assist them in providing suitable datasets for analysis. These softwares allow editing and querying databases easily.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Relational and non-relational databases are among the most common data storage methods.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Rockset

JANUARY 10, 2019

Data engineering transforms and normalizes high-cardinality, nested data into relational databases or into an output format that can then be loaded into data science notebooks to derive insights. Much of what they analyze could be third-party data, over which there is little control.

Data Science 40

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U-Next

AUGUST 10, 2022

Gather Information: Before beginning any database activity, information must be gathered from reliable sources. Data Engineers then store the processed datasets after creating a set of procedures. Without a solid understanding of SQL, you cannot administer an RDBMS (relational database management).

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll explore the top 10 popular SQL tools in the market in 2024. You may use SQL to directly address the database. HeidiSQL HeidiSQL is a free and open-source graphical user interface (GUI) tool for managing and interacting with relational databases. Key Features: List limit and sort databases.

SQL 52

SQL MySQL PostgreSQL Database 52

Rockset

JANUARY 5, 2022

Hopefully we can understand how SQL databases aren’t necessarily bound by the limitations of yesteryear, allowing them to remain very relevant in an era of real-time analytics. A Brief History of SQL Databases SQL was originally developed in 1974 by IBM researchers for use with its pioneering relational database, the System R.

Database 52

Database SQL NoSQL Raw Data 52

AltexSoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists.

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U-Next

SEPTEMBER 29, 2022

Read this blog to understand the job roles, the difference between data analytics and data science , and how each role uniquely approaches data. . A Data Analyst uses technologies to query relational databases. Execute some operations on datasets, such as Exploratory Data Analysis. .

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ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. There are plenty of datasets on the Internet that can provide more information than what you already have. Calculating the variations between date-column values, etc.

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

SEPTEMBER 6, 2023

IBM Data Analyst Professional Certificate Introduction : IBM Data Analyst Professional Certificate helps you become proficient in applying different analytical techniques by analyzing real-world datasets, creating visualizations & interactive dashboards, and presenting reports to share findings of data analysis. It is a 13-course series.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

JUNE 23, 2016

So, here’s how ProjectPro helps you get ready for your interview for a Hadoop developer job role.This blog contains commonly asked hadoop mapreduce interview questions and answers that will help you ace your next hadoop job interview. Sqoop is compatible with all JDBC compatible databases.

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Hadoop MySQL Relational Database Java 40

ProjectPro

FEBRUARY 21, 2023

Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue. Don’t worry! Why Are Data Engineering Skills In Demand?

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U-Next

AUGUST 3, 2022

That’s why our blog focuses on Data Scientist roles and responsibilities in India. Database Management: A Data Scientist has to have a solid understanding of data processing and data managerial staff, in addition to being skilled with machine learning and statistical models. What is the work of a Data Scientist?

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ProjectPro

SEPTEMBER 11, 2021

This blog contains a list of business analyst interview questions and answers. Ability to analyze huge datasets. So, if you are considering a career in the management field and aspiring to become a Business Analyst, read this blog to understand what kind of questions are asked in a business analyst interview.

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