DataOps
If there's one thing we should tame in today's data-driven marketing landscape, this would be data debt, a silent menace threatening to undermine all the trust you've put in the data-driven decisions that guide your strategies. This blog aims to explore the true costs of data debt in marketing operations, offering four actionable strategies to mitigate them through enhanced marketing observability ...
Data mesh, an increasingly important decentralized approach to data architecture and organizational design, focuses on treating data as a product, emphasizing domain-oriented data ownership, self-service tools and federated governance. The 2024 State of the Data Lakehouse report from Dremio presents evidence of the growing adoption of data mesh architectures in enterprises ... The report highlights that the drive towards data mesh is increasingly becoming a business strategy to enhance agility and speed in problem-solving and innovation ...
We increasingly see companies using their observability data to support security use cases. It's not entirely surprising given the challenges that organizations have with legacy SIEMs. We wanted to dig into this evolving intersection of security and observability, so we surveyed 500 security professionals — 40% of whom were either CISOs or CSOs — for our inaugural State of Security Observability report ...
As data insights continue to be the key factor in driving business innovation and growth, organizations are constantly refining their data strategies, exploring frameworks like data mesh to give more users self-service access in producing and consuming data ... Whilst the distribution and delegation of responsibilities promoted through data mesh has many benefits, achieving an implementation that fulfills data security standards is not without its challenges. Many organizations run into issues around data access, governance, and privacy. Let's explore these issues further and some steps organizations can take to help overcome them ...
Industry experts offer predictions on how DataOps will evolve and impact IT and business in 2024: Analytics will be all encompassing in 2024 as we become reliant on data for everything from everyday business research such as inventory and purchasing to predictive analytics that allow businesses to see into the future ...
Industry experts offer predictions on how DataOps will evolve and impact IT and business in 2024: Data observability will become mandatory as organizations seek to drive smarter automation and faster decision-making in 2024. As the volume of data has continued to double every two years, organizations are urgently seeking to ingest and analyze it faster and at a greater scale. However, the cost and risk of poor-quality data is greater than ever ...
No one ever said Site Reliability Engineers (SREs) have it easy. SREs have to deal with ever-increasing amounts of data that is increasingly complex to discover and analyze. Heaps of metrics, logs, traces, and profiling data are also siloed, leading to a fragmented and opaque monitoring toolset to navigate operational efficiency and problem resolution ...
Part 3 covers even more on Observability: Observability will move up the organization to support the sustainability and FinOps drive. The combined pressure of needing to adopt more sustainable practices and tackle rising cloud costs will catapult observability from an IT priority to a business requirement in 2024 ...
Multicasting in this context refers to the process of directing data streams to two or more destinations. This might look like sending the same telemetry data to both an on-premises storage system and a cloud-based observability platform concurrently. The two principal benefits of this strategy are cost savings and service redundancy ...
As leaders across Industry 4.0 contemplate, scramble, or pivot to this new era, it's important to get their data to use AI effectively before all else. Tools like ChatGPT can be counterproductive if they require constant error-fixing, but using AI can be revolutionary if you're ready. To unlock AI's true potential, we must address the core issue: data infrastructure readiness ...
The majority of organizations across Australia and New Zealand (A/NZ) breached over the last year had personally identifiable information (PII) compromised, but most have not yet modified their data management policies, according to the Cybersecurity and PII Report from ManageEngine ...
Nearly half of CEOs surveyed identify productivity as their highest business priority — up from sixth place in 2022, according to CEO decision-making in the age of AI, Act with intention, a study conducted by the IBM Institute for Business Value ...
Gartner highlighted the top trends impacting the future of data science and machine learning (DSML) as the industry rapidly grows and evolves to meet the increasing significance of data in artificial intelligence (AI), particularly as the focus shifts towards generative AI investments ...
As more organizations opt for a hybrid approach to IT, the share of enterprise workloads that are run in corporate, on-premises facilities has fallen to below half for the first time and is expected to shrink further, according to the Uptime Institute Global Data Center Survey 2023 ...
To accomplish application integrations, IT developers will increasingly have a choice between GraphQL and REST APIs for web client interfaces ... But which one is better? Spoiler alert: it's GraphQL, and here's why ...
In today's digital world, cloud migration is essential for organizations looking to modernize their data infrastructure ... Let's discuss some practical solutions for a seamless cloud migration experience. Whether you're a small business or a large enterprise, these tips can help organizations overcome the hurdles of cloud migration to modernize their data infrastructure ...
Companies experience a median of five to ten data incidents over a period of three months, according to the 2023 State of Data Quality report from Bigeye ...
Gartner identified the top 10 data and analytics (D&A) trends for 2023 that can guide D&A leaders to create new sources of value by anticipating change and transforming extreme uncertainty into new business opportunities ...
Data downtime — periods of time when an organization's data is missing, wrong or otherwise inaccurate — nearly doubled year over year (1.89x), according to the State of Data Quality report from Monte Carlo ...
DataOps as a practice is maturing, according to a survey from Unravel Data. This year, more than 44% of respondents reported they are actively employing DataOps methodologies, compared to just less than a quarter (21%) of respondents in 2022 ...
Based on a survey of automation-focused IT professionals worldwide, the 2022 Global State of IT Automation report offers a unique perspective on the convergence of automation with cloud, DataOps, DevOps, and hybrid IT topics. Read on ...
Modern complex systems are easy to develop and deploy but extremely difficult to observe. Their IT Ops data gets very messy. If you have ever worked with modern Ops teams, you will know this. There are multiple issues with data, from collection to processing to storage to getting proper insights at the right time. I will try to group and simplify them as much as possible and suggest possible solutions to do it right ...
Industry experts offer predictions on how APM and related technologies will evolve and impact business in 2020. Part 3 covers more about AIOps, AI and Machine Learning (ML) ...
As the New Year approaches, it is time for APMdigest's 10th annual list of Application Performance Management (APM) predictions. Industry experts offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2020 ...
Data-driven applications are helping drive cloud growth, according to a survey by Unravel Data. The data also reveals that enterprises are most concerned with a lack of sufficient technical talent to properly manage these data systems as well as the perceived high cost of deploying a modern data infrastructure ...
