Databand.ai

AUGUST 30, 2023

Data Testing Tools: Key Capabilities and 6 Tools You Should Know Helen Soloveichik August 30, 2023 What Are Data Testing Tools? Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

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. That needs to be done because raw data is painful to read and work with. How to become a data engineer from a BI developer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). Data Scientist Learning Path for 2023 1. It’s a great place to learn Data Science.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Cloudera

DECEMBER 17, 2020

First and foremost, we designed the Cloudera Data Platform (CDP) to optimize every step of what’s required to go from raw data to AI use cases. The post Enabling The Full ML Lifecycle For Scaling AI Use Cases appeared first on Cloudera Blog.

Machine Learning 83

Machine Learning Data Science Data Pipeline Raw Data 83

Knowledge Hut

DECEMBER 28, 2023

Human society in 2023 is a digital world, and its fuel - its currency - is data. Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 12, 2021

While data science is the most hyped-up career path in the data industry, it certainly isn't the only one. You can consider many other high-paying career options as a data enthusiast. This blog will take you through a relatively new career title in the data industry — AI Engineer.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Databand.ai

JUNE 14, 2023

Ryan Yackel June 14, 2023 Understanding Data Quality Testing Data quality testing refers to the evaluation and validation of a dataset’s accuracy, consistency, completeness, and reliability. During ingestion: Test your data as it enters your system to identify any issues with the source or format early in the process.

Amazon Web Services 52

Amazon Web Services Datasets High Quality Data ETL Tools 52

DataKitchen

MARCH 16, 2023

Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. Look at the world from your customer perspective – the dashboard is wrong, the data is late, or the numbers ‘look funny.’ Forty-five metrics!

Data Analytics 52

Data Analytics Manufacturing Data Process 52

Data Engineering Weekly

MARCH 31, 2024

My key highlight is that Excellent data documentation and “clean data” improve results. The blog further emphasizes its increased investment in Data Mesh and clean data. link] Databricks: PySpark in 2023 - A Year in Review Can we safely say PySpark killed Scala-based data pipelines?

Data Engineering 62

Data Engineering Data Engineer Engineering Scala 62

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential?

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. The Transform Phase During this phase, the data is prepared for analysis.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Snowflake

FEBRUARY 21, 2023

There’s no need for ETLs, pre-aggregations that sacrifice flexibility, or additional infrastructure that requires data engineering resources. Metrics API: It provides a Metrics API that not only gives meaning to your raw data but also empowers your dev teams across the company to build with a self-service analytics API.

AWS 122

AWS Raw Data Building Architecture 122

Ascend.io

APRIL 5, 2023

For analytics engineers, understanding the business needs and transforming the data to meet them are two key steps. As most experienced data teams can tell you, simply connecting raw data sources to BI tools doesn’t get the job done. A data analyst at one company could be a BI engineer at another.”

Engineering 52

Engineering Raw Data BI Software Engineer 52

Data Engineering Weekly

JANUARY 15, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. 2023 predictions from the panel are; Unified metadata becomes kingmaker.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses.

Data Pipeline 52

Data Pipeline Data Science Raw Data Media 52

Databand.ai

AUGUST 30, 2023

Unified DataOps: Components, Challenges, and How to Get Started Joseph Arnold August 30, 2023 What Is Unified DataOps? Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Databand.ai

JULY 10, 2023

Observability Platforms: 8 Key Capabilities and 6 Notable Solutions Eitan Chazbani July 10, 2023 What Is an Observability Platform? Observability platforms gather, examine, and display telemetry data from various sources like logs, metrics, and trace data.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Aggregated Data 52

Cloudera

AUGUST 21, 2021

IDC Financial Insights predicts that 85% of tier 1 and tier 2 APEJ banks will curate an infrastructure strategy that integrates multi-cloud and hybrid cloud environments to meet their infrastructure needs by 2023. The post Data-driven competitive advantage in the financial services industry appeared first on Cloudera Blog.

Banking 103

Banking Raw Data High Quality Data Business Intelligence 103

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

APRIL 12, 2021

It is a deep learning process where a model gets raw data as the input and all the various parts are trained simultaneously to produce the desired outcome with no intermediate tasks. Do you like to participate in deep learning/machine learning hackathons, write blogs around novel deep learning tools, or attend local meetups, etc ?

Deep Learning 40

Deep Learning Datasets Machine Learning Algorithm 40

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. What is Data Analytics?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

DataKitchen

FEBRUARY 2, 2023

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. What will the world of data tools be like at the end of 2025? Here at DataKitchen, we wanted to take a different approach: look at a three-year horizon.

Metadata 52

Metadata BI Government ETL Tools 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

AUGUST 24, 2021

Nevertheless, that is not the only job in the data world. Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. How do I create a Data Engineer Portfolio?

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

APRIL 15, 2016

The best way to prepare for a Hadoop job interview is to practice Hadoop Interview questions related to the most commonly used big data Hadoop tools like Pig , Hive, Sqoop, Flume, etc. Apache Pig big data tools, is used in particular for iterative processing, research on raw data and for traditional ETL data pipelines.

Hadoop 40

Hadoop Java Big Data SQL 40

Knowledge Hut

APRIL 23, 2024

Business intelligence collects techniques, tools, and methodologies organizations use to transform raw data into valuable information and meaningful insights. So, BI empowers businesses to understand their respective customers, make data-driven decisions, and analyze market trends.

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52